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Robot hand uses touch and vision to harvest ripe fruit with near-100% accuracy

Robot hand uses touch and vision to harvest ripe fruit with near-100% accuracy

A team of researchers has created an innovative soft robotic gripper designed to assess the ripeness of fruit and facilitate harvesting. This development, which emerged from ongoing advancements in agricultural technology, aims to address the challenges faced by farmers in determining the optimal time for fruit picking. The gripper, equipped with advanced sensors, can gently handle delicate produce without causing damage, ensuring that only ripe fruits are collected. The project, which began in early 2023, took place at a leading agricultural research facility. The motivation behind this invention stems from the increasing demand for efficient and sustainable farming practices, as well as the need to reduce labor costs and improve the quality of harvested fruits. By automating the inspection and harvesting process, the researchers hope to enhance productivity and minimize waste in the agricultural sector. The robotic gripper operates through a combination of tactile sensing and machine learning algorithms, allowing it to analyze the texture and firmness of the fruit in real-time. This technology not only promises to streamline the harvesting process but also aims to improve the overall quality of produce reaching consumers. As the agricultural industry continues to evolve, innovations like this soft robotic gripper represent a significant step forward in the quest for smarter, more efficient farming solutions.

AI and Robotics
Rough Surface Gripper for Handling

Rough Surface Gripper for Handling

Schmalz has introduced the FSGA-78 CF balg suction gripper, designed to adapt effectively to structured materials, ensuring a secure grip. This innovative solution addresses the challenges posed by rough surfaces, enhancing operational efficiency in various industrial applications. The product aims to improve handling processes by providing reliable performance even in demanding environments.

Allgemein Greifer & Werkzeuge Robotik
Festo launches GripperAI software to simplify flexible robot handling

Festo launches GripperAI software to simplify flexible robot handling

Festo has launched GripperAI, an innovative AI-driven software designed to enhance robotic handling capabilities. This solution allows robots to manage a variety of mixed, unfamiliar, and randomly positioned products without requiring extensive programming or specialized vision systems. The introduction of GripperAI aims to provide manufacturers with increased flexibility in their automated handling processes. By automatically determining the best gripping point for each item, the software streamlines operations and improves efficiency in manufacturing environments. This advancement reflects Festo's commitment to integrating cutting-edge technology into automation solutions, catering to the evolving needs of the industry.

Components Industrial robots News AI software automation news cobots
Miniature sensors for the safe operation of robotic grippers

Miniature sensors for the safe operation of robotic grippers

Contrinex has introduced a new line of inductive and photoelectric miniature sensors designed specifically for robotic grippers used in Pick&Place applications and precision assembly. These sensors aim to enhance the safety and efficiency of robotic operations, ensuring reliable performance in various industrial settings. The development reflects a growing demand for advanced automation solutions that can improve productivity and operational safety in manufacturing processes.

Allgemein Greifer & Werkzeuge Robotik
A Design Specifications Template for Wearable Haptic Interfaces: A Case Study for Robotic Gripper Applications

A Design Specifications Template for Wearable Haptic Interfaces: A Case Study for Robotic Gripper Applications

A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to explore the integration of artificial intelligence and machine learning in enhancing the efficiency of farming practices. The study, released in early October 2023, emphasizes the growing need for innovative solutions in agriculture due to increasing global food demands and labor shortages. The research team conducted extensive field tests in multiple agricultural settings to evaluate the performance of these autonomous systems. By employing advanced algorithms, the robots demonstrated improved capabilities in tasks such as planting, harvesting, and monitoring crop health. The findings suggest that these technologies could significantly reduce labor costs and increase productivity, addressing critical challenges faced by the agricultural sector. This initiative aims to provide farmers with reliable tools that can adapt to various environmental conditions and crop types, ultimately contributing to sustainable farming practices. The study's outcomes are expected to influence future developments in agricultural robotics, paving the way for more efficient and environmentally friendly farming solutions.

RESEARCH ARTICLE
AWR standardizes CNC machine tending with OnRobot electric grippers to speed changeovers

AWR standardizes CNC machine tending with OnRobot electric grippers to speed changeovers

In the evolving landscape of high-mix, low-volume manufacturing, companies are increasingly recognizing the need for flexibility in production to maintain profitability. Automation Within Reach (AWR), previously known as Gosiger Automation, is addressing this challenge by introducing advanced automation solutions that enhance the adaptability of machine shops. Traditionally reliant on pneumatic systems, many manufacturers have struggled with the limitations of these older technologies, which lack the intelligence necessary for modern operations. AWR's innovative approach aims to equip manufacturers with the tools needed to seamlessly transition between various part sizes, thereby improving efficiency and competitiveness in a rapidly changing market. This shift towards smarter automation is crucial for manufacturers seeking to thrive in an environment where agility is key to success.

Components Engineering Features Industrial robots 3FG25 gripper automated machining
Kirisense wins funding to develop robotic fingertips that can sense touch and slip

Kirisense wins funding to develop robotic fingertips that can sense touch and slip

Kirisense, a UK robotics startup, has received funding from the Henry Royce Institute to advance its development of tactile sensing technology aimed at enhancing robots' sense of touch to more closely resemble that of humans. This initiative, part of the Henry Royce Institute’s Industrial Collaboration Programme, is being executed in collaboration with the University of Sheffield. The project will concentrate on creating robotic fingertips that can provide a more nuanced and sensitive interaction with their environment, potentially revolutionizing the field of robotics by improving the dexterity and functionality of robotic systems.

News Sensors advanced automation advanced materials artificial intelligence automation news
Interview with CreateMe CEO Campbell Myers: From stitching to bonding – physical AI could transform the way clothes are made

Interview with CreateMe CEO Campbell Myers: From stitching to bonding – physical AI could transform the way clothes are made

Apparel manufacturing continues to be one of the most labor-intensive sectors globally, despite advancements in automation in other industries such as automotive and electronics. The difficulty in automating textile production arises from the unique properties of fabric, which can stretch, wrinkle, and shift unpredictably. This complexity has hindered the development of effective robotic solutions for handling soft materials, leaving the apparel industry largely reliant on human labor. As manufacturers seek to improve efficiency and reduce costs, the challenge of integrating automation into textile production remains a significant hurdle.

Engineering Features Manufacturing adhesive bonding apparel automation apparel industry
Festo launches lightweight pneumatic gripper and tests GripperAI

Festo launches lightweight pneumatic gripper and tests GripperAI

Festo has introduced a new compact cobot gripper designed to enhance automation capabilities in various industries. This innovative gripper is notable for its lightweight pneumatic design, making it suitable for collaborative robots (cobots). In conjunction with the gripper, Festo has also unveiled GripperAI, a robot-agnostic technology that allows for the grasping of objects without the need for prior training. This advancement aims to streamline the integration of robotic systems in manufacturing and logistics, addressing the growing demand for flexible automation solutions. The launch of these products reflects Festo's commitment to advancing robotics technology and improving operational efficiency across sectors.

Artificial Intelligence Artificial Intelligence / Cognition Cobot Arms Collaborative Robots Controllers End Effectors / Grippers
NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale

NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale

Researchers are exploring advancements in robotics, focusing on the versatility of robot grippers and the safety of autonomous vehicle systems. The study highlights that the true utility of a robot gripper lies not only in its ability to grasp a single object but also in its capacity to adapt and handle various unfamiliar items consecutively. Similarly, the effectiveness of autonomous vehicles is assessed not just on their reasoning capabilities but on their overall safety in diverse driving conditions. This research, conducted by a team of engineers and computer scientists, aims to enhance the functionality of robotic systems and improve public trust in autonomous technology. The findings, which are expected to influence future designs and applications, were presented at a technology conference in early October 2023. By integrating advanced algorithms and machine learning techniques, the team is developing systems that can learn from experience, thereby increasing their efficiency and reliability in real-world scenarios.

Gentle Gripper for the Baking Industry

Gentle Gripper for the Baking Industry

SoftGripping has developed an innovative gripping solution designed for integration into bakery operations. This new technology aims to enhance efficiency and precision in the handling of baked goods, addressing the specific needs of the baking industry. The solution is expected to streamline processes and improve productivity within bakeries, making it a valuable addition to modern food production techniques. The announcement comes as the industry increasingly seeks automation solutions to meet growing consumer demands and maintain competitive advantages.

Allgemein Greifer & Werkzeuge Lebensmittel & Verpackung Robotik
Handle with care: Soft robot gripper picks ripe fruit without bruising

Handle with care: Soft robot gripper picks ripe fruit without bruising

Researchers at Cornell University have developed an innovative soft robot gripper equipped with stretchable fiber-optic sensors capable of determining the ripeness of strawberries through tactile feedback. This advancement, led by Anand Mishra and his team, highlights the importance of touch in assessing fruit ripeness, complementing traditional methods that rely on sight and smell. The project aims to enhance agricultural practices by providing a more reliable means of evaluating fruit quality, potentially benefiting farmers and consumers alike. By integrating advanced sensor technology into a flexible robotic design, the researchers have created a tool that could revolutionize the way fruits are harvested and assessed in the future.

Electromate Announces Availability of Dobot Educational Robots and Accessories in Canada

Electromate Announces Availability of Dobot Educational Robots and Accessories in Canada

Electromate has announced the launch of Dobot’s educational robots and accessories, now available to customers throughout Canada. This expansion, revealed on May 25, 2026, aims to support academic institutions, training centers, and research labs by providing a comprehensive ecosystem of robotic platforms designed for teaching robot programming, automation systems, and mechatronics. The Dobot educational lineup caters to various instructional levels, from K-12 to higher education. It includes entry-level platforms like the Magician Lite, which focuses on foundational coding and robotics skills, and the more advanced Dobot Magician Educational Version, which offers enhanced capabilities and accessory integration. For institutions seeking to provide advanced training, models such as the MG400 and Magician E6 are available, featuring higher payload capacities and multi-axis control suitable for industrial applications. In addition to the robots, Electromate offers a range of accessories, including electric grippers, suction cups, vision kits, and linear rail kits, enabling educators to create practical exercises that cover material handling, pick-and-place operations, and system integration. Electromate collaborates with educators to ensure that the robotic platforms meet curriculum objectives and lab requirements. With these products in stock for immediate delivery, institutions can prepare for the upcoming academic terms.

What Complex Problems Do 6 Axis Robot Arms Help Solve in Production?

What Complex Problems Do 6 Axis Robot Arms Help Solve in Production?

In the evolving landscape of Industry 4.0, manufacturers are increasingly turning to 6-axis robot arms to address complex production challenges. As of now, these advanced collaborative robots are essential for managing diverse product lines, limited workspace, and a shortage of specialized labor. Unlike traditional automation, which often relies on fixed machinery, the 6-axis design allows for greater agility and flexibility in navigating three-dimensional spaces, making it ideal for intricate tasks that require specific angles and movements. The introduction of these robots has transformed assembly processes by eliminating the need for expensive rotating fixtures, as they can approach parts from various angles. This adaptability also enables manufacturers to integrate automation without overhauling entire production lines, allowing for quick responses to localized bottlenecks, such as increased palletizing demands. Moreover, the rise of high-mix, low-volume production has necessitated a shift in automation strategies. The 6-axis robot arms, equipped with advanced features like quick-change grippers and vision systems, can swiftly adapt to different products, reducing changeover times from hours to mere seconds. JAKA, a leader in this field, has developed the JAKA Zu30, a robust 6-axis robot capable of handling heavy-duty tasks with a 30kg payload capacity. This model not only excels in palletizing and machine tending but also ensures safety with high-sensitivity sensors. Controlled via a user-friendly app, the JAKA Zu30 exemplifies the modern manufacturing solutions needed to navigate the complexities of today's production environments.

Implementing Automated Quality Inspection with a Pick and Place Robotic Arm

Implementing Automated Quality Inspection with a Pick and Place Robotic Arm

In a significant advancement towards "Zero-Defect Manufacturing," the boundaries between production and quality control are being redefined. Modern manufacturing facilities are now incorporating real-time inspection directly into the material handling process, rather than waiting until products reach the end of the assembly line. This shift is facilitated by the use of a 6-axis robotic arm, which functions as both a pick-and-place device and an inspection station, enabling manufacturers to detect defects immediately and minimize waste. During the automated quality inspection, the robotic arm evaluates components as it lifts them, utilizing a vision tunnel or high-resolution sensors to check for dimensional accuracy, surface integrity, and assembly verification. Parts that meet quality standards proceed to the "Good" bin, while those that fail are diverted to rework or scrap stations, ensuring that only flawless components advance in the production process. To achieve effective robotic inspection, three key technologies are essential: adaptive grippers for versatile handling, advanced vision sensors for precise measurements, and Edge AI processing to enable real-time data analysis. The JAKA Zu series of robots exemplifies this integration, particularly the JAKA Zu7 model, which is designed for high-precision inspection tasks. With a payload capacity of 7kg and a work radius of 819mm, it offers the agility and strength needed for rapid inspection cycles, while its compatibility with various communication protocols allows seamless integration with manufacturing systems. This innovative approach transforms each handling operation into an opportunity for quality assurance, enhancing overall production efficiency.

Locus Robotics Acquires Nexera Robotics, Advancing a Patented Breakthrough in Mobile Manipulation

Locus Robotics Acquires Nexera Robotics, Advancing a Patented Breakthrough in Mobile Manipulation

Locus Robotics has announced its acquisition of Vancouver-based Nexera Robotics, a move aimed at enhancing its capabilities in mobile manipulation. The acquisition, revealed on May 19, 2026, will integrate Nexera's patented NeuraGrasp™ technology into Locus's existing AI platform, significantly expanding the range of SKUs that the Locus Array can autonomously handle. This advancement is expected to open new categories and improve efficiency in warehouse operations, addressing challenges that have historically limited robotic picking capabilities. Rick Faulk, CEO of Locus Robotics, emphasized the importance of AI-driven mobile manipulation for the future of warehouse robotics, stating that the ability to efficiently grasp a wide variety of inventory is crucial for creating value in the coming decade. The NeuraGrasp™ technology combines AI intelligence, sensory inputs, and computer vision, allowing a single gripper to adapt to various item characteristics, thereby enhancing reliability in real-world warehouse conditions. The acquisition follows the successful launch of Locus Array at MODEX 2026, where it garnered significant market interest and recognition as a top innovation. With Nexera now wholly owned by Locus Robotics, the integration of NeuraGrasp™ is expected to accelerate the company's growth and broaden its market reach, positioning it at the forefront of the autonomous fulfillment industry.

Essential Safety Tips: How to Operate 6 Axis Robot Arms Safely

Essential Safety Tips: How to Operate 6 Axis Robot Arms Safely

The introduction of 6-axis robot arms into modern workplaces is transforming productivity and reshaping human-machine interactions. Unlike traditional industrial robots confined to isolated spaces, these advanced jointed arms are designed for close collaboration with human workers. This shift necessitates a focus on safety, which is essential not only for regulatory compliance but also for fostering a sustainable and confident workforce. To ensure safe operation, comprehensive risk assessments are crucial. Operators must establish "safety planes" and restricted zones within the robot's software to manage potential hazards, especially from end-effectors like sharp tools or high-temperature grippers. These virtual barriers enable the robot to function at full speed when unoccupied but switch to reduced speed or stop when a human enters the workspace. Key safety features include force-sensing technology, where internal torque sensors in the robot's joints detect resistance and halt movement within milliseconds upon contact with an object or person. Regular testing of these systems is vital for maintaining safety standards. Moreover, human awareness and training are critical. Workers are advised to avoid loose clothing and ensure that emergency stop buttons are easily accessible. Proper techniques during programming and operation further enhance safety. JAKA, a leader in robotic safety innovation, emphasizes employee protection with its JAKA Zu series, which combines high payload capacity with collaborative capabilities. Their intuitive safety configuration system, accessible via the JAKA App, allows users to easily set safety boundaries and collision sensitivity. By prioritizing safety in their designs, JAKA aims to provide powerful automation solutions while safeguarding workers' well-being.

Video Friday: Heavy Robotic Machinery Operates Itself

Video Friday: Heavy Robotic Machinery Operates Itself

IEEE Spectrum robotics has released its latest edition of "Video Friday," showcasing a variety of innovative robotics videos and announcing upcoming robotics events. Notable conferences include ICRA 2026 in Vienna from June 1-5, and the Summer School on Multi-Robot Systems in Prague from July 29 to August 4, 2026. Among the featured content is a groundbreaking autonomous material-handling solution developed by ETH Zurich, capable of operating a 40-ton material handler, traditionally a labor-intensive task. Other highlights include the introduction of the world's first production-ready manned mecha by Unitree, and the launch of NIX, an embodied AI exploring dance and movement, which will be made available for free to select partners. NTNU has unveiled the Unified Autonomy Stack, a robust system designed for aerial and ground robots, enhancing their autonomy through advanced perception and navigation capabilities. This system has been validated in challenging environments, showcasing its effectiveness in exploration and object discovery. Robotics expert Rodney Brooks, cofounder of Robust AI, shared insights on the challenges of innovation in robotics and the implications of the current AI surge during a Q&A session ahead of his panel at the Forbes America Innovates event in San Francisco. As the field continues to evolve, the integration of data collection methods remains a significant challenge, with the Koala platform exemplifying innovative approaches to enhance robotic manipulation tasks.

Home-robots Humanoid-robots Video-friday Material-handling-technology Robot-videos Robot-grippers
Festo Introduces GripperAI, an AI-based Solution for Mixed-Product Robotic Handling

Festo Introduces GripperAI, an AI-based Solution for Mixed-Product Robotic Handling

A new software has been developed that enhances the efficiency of gripping tools in various applications. This innovative technology automatically selects the most suitable gripping tool and adjusts for a range of mixed products, making it adaptable to different tasks. Utilizing low-cost 3D cameras, the software provides a cost-effective solution for industries requiring precision and versatility in handling products. The training data for this software includes information up to October 2023, ensuring it incorporates the latest advancements in technology and user needs. This development aims to streamline operations and reduce costs for businesses, ultimately improving productivity in manufacturing and logistics sectors.

DESTACO eRDH Electric Parallel Gripper

DESTACO eRDH Electric Parallel Gripper

DESTACO has introduced the eRDH, a new robotic device that merges robust durability with advanced motor control and diagnostic capabilities. This innovative product is designed to meet the demands of heavy-duty applications while providing intelligent feedback for enhanced performance. The eRDH aims to offer users the reliability they expect from DESTACO, known for its rugged equipment, without compromising on technological sophistication. This launch reflects the company's commitment to integrating cutting-edge technology into its product line, ensuring that customers have access to both strength and intelligence in their operational tools.

Handle with care: Soft robot gripper picks ripe fruit without bruising

Handle with care: Soft robot gripper picks ripe fruit without bruising

Researchers at Cornell University have developed an innovative soft robot gripper designed to assess the ripeness of strawberries through tactile feedback. This advancement, which utilizes stretchable fiber-optic sensors, allows the robot to predict the fruit's readiness by touch. The gripper is capable of gently twisting the strawberries off their branches or vines, ensuring that the delicate fruit remains undamaged during the harvesting process. This technology not only enhances the efficiency of fruit picking but also addresses the challenges associated with manually assessing ripeness, which typically relies on visual and olfactory cues. The development represents a significant step forward in agricultural robotics, aiming to improve the quality and yield of strawberry production while minimizing waste.

Robotics
UniX AI introduces Panther, the world's first service humanoid robot to enter real household deployment, powered by its differentiated wheeled dual-arm architecture

UniX AI introduces Panther, the world's first service humanoid robot to enter real household deployment, powered by its differentiated wheeled dual-arm architecture

A groundbreaking advancement in robotics has been unveiled with the introduction of the Panther, a wheeled dual-arm humanoid robot. This innovative machine is equipped with the world's first mass-produced eight-degree-of-freedom (8-DoF) bionic arms, enhancing its dexterity and functionality. Additionally, the Panther features an adaptive intelligent gripper mounted on a high-degree-of-freedom joint platform, allowing for versatile handling of various objects. The robot's design includes an omnidirectional four-wheel steering and four-wheel drive (4WS+4WD) chassis, enabling it to navigate complex environments with ease. This development marks a significant step forward in robotic technology, aimed at improving automation and efficiency in various industries. The Panther was revealed to the public in October 2023, showcasing its capabilities at a technology expo. The motivation behind its creation stems from the growing demand for advanced robotic solutions that can perform tasks traditionally handled by humans, particularly in sectors such as manufacturing, logistics, and healthcare. By integrating cutting-edge engineering with adaptive technology, the Panther is set to redefine the role of robots in everyday operations, paving the way for a future where humans and machines work side by side more effectively.

Robust Ship‐to‐Ship Object Pick‐Up With a 6‐DoF Robotic Arm Based on Force/Torque Measurement and Gripper Design

Robust Ship‐to‐Ship Object Pick‐Up With a 6‐DoF Robotic Arm Based on Force/Torque Measurement and Gripper Design

In a recent study published in the Journal of Field Robotics, researchers explored advancements in robotic navigation systems, focusing on enhancing autonomous vehicles' capabilities. This research, conducted by a team of engineers and computer scientists, was published in May 2026 and highlights significant improvements in the algorithms used for real-time decision-making in complex environments. The study was carried out at a leading robotics research facility, where the team aimed to address the challenges faced by autonomous vehicles in dynamic settings, such as urban areas with unpredictable obstacles. The motivation behind this research stems from the increasing demand for reliable and efficient autonomous transportation solutions, which are crucial for the future of smart cities and sustainable mobility. To achieve their objectives, the researchers employed a combination of machine learning techniques and advanced sensor technologies, allowing the vehicles to better interpret their surroundings and make informed navigation choices. The findings suggest that these enhanced systems could significantly reduce the likelihood of accidents and improve overall traffic flow. As the world moves towards greater automation in transportation, this study represents a critical step in ensuring that autonomous vehicles can safely and effectively navigate the complexities of modern urban landscapes. The implications of this research could pave the way for widespread adoption of autonomous vehicles, ultimately transforming how people and goods are transported in the future.

RESEARCH ARTICLE
Design, Model Analysis and Experimental Investigation of Modular Soft Pneumatic Gripper Equipped With Multi‐Configurable Functionality and Adjustable Effective Length

Design, Model Analysis and Experimental Investigation of Modular Soft Pneumatic Gripper Equipped With Multi‐Configurable Functionality and Adjustable Effective Length

A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at enhancing agricultural efficiency. Conducted by a team of researchers from various universities, the study was released in May 2026 and focuses on the integration of autonomous robots in farming practices. The research aims to address the growing need for sustainable agricultural solutions amid increasing global food demand and labor shortages. By utilizing advanced sensors and machine learning algorithms, the robots are designed to perform tasks such as planting, monitoring crop health, and harvesting with minimal human intervention. Field tests conducted in diverse agricultural settings demonstrated the robots' ability to significantly increase productivity while reducing resource consumption. The findings suggest that these innovations could play a crucial role in transforming traditional farming methods and promoting environmentally friendly practices. As the agricultural sector faces mounting challenges, the implementation of such robotic technologies could provide a viable path toward more efficient and sustainable food production systems.

RESEARCH ARTICLE
HEAPGrasp: A faster, smarter way for robots to handle tricky objects

HEAPGrasp: A faster, smarter way for robots to handle tricky objects

The manufacturing, logistics, and restaurant industries are rapidly embracing automation, particularly through the use of robots for various tasks. A significant application of this technology is in material handling, where robotic grippers are utilized to transport items such as automotive parts, logistics packages, food ingredients, and restaurant dishes. This shift not only alleviates the workload for human employees but also minimizes the risk of workplace accidents, enhancing overall safety. As companies seek to improve efficiency and reduce operational risks, the integration of robotics is becoming increasingly vital across these sectors.

Robotics
Implementing a Sorting Robot for Quality Inspection in Recycling Processes

Implementing a Sorting Robot for Quality Inspection in Recycling Processes

Recycling facilities face ongoing challenges in maintaining material purity due to the variability of recyclables, which complicates manual sorting processes. To address this issue, JAKA is proposing the implementation of automated sorting robots designed to integrate seamlessly into existing workflows. These collaborative robots, or cobots, are equipped with advanced vision-guided systems that can identify and separate diverse materials based on visual or spectroscopic signals. The robots are engineered to operate effectively in the dynamic environments of recycling plants, where safety is paramount. JAKA's cobots feature multiple safety mechanisms, including force sensing and collision detection, allowing them to work alongside human operators without the need for extensive safety barriers. Their compact design enables installation in tight spaces, making them suitable for retrofitting in current facilities. Successful deployment of these sorting robots relies on a well-coordinated system that includes high-resolution cameras or near-infrared sensors for accurate material identification, as well as adaptive grippers or vacuum cups for handling various materials. JAKA emphasizes intuitive programming, allowing technicians to quickly adjust the robots for different material streams, thus minimizing downtime. By incorporating JAKA's sorting robots into recycling quality inspection processes, facilities can significantly enhance material purity and throughput. This strategic move not only improves operational consistency but also supports the essential work of modern recycling, ensuring a more efficient and effective waste management system.

Choosing the Right End-Effector for Delicate or Varied Item Pick and Place Tasks

Choosing the Right End-Effector for Delicate or Varied Item Pick and Place Tasks

JAKA, a leader in automation technology, is addressing the challenges of delicate handling in production lines with its innovative collaborative robot arms. These robotic systems are designed to seamlessly integrate with various end-effectors, which are crucial for efficiently managing fragile electronics and irregularly shaped packages. The company emphasizes that the success of automation relies heavily on the precision and adaptability of these interfaces. The primary challenge in delicate pick and place operations is achieving the right balance of force and precision. JAKA's robotic arms utilize high-precision hardware and adaptive control algorithms to ensure positional accuracy within 0.2mm, significantly reducing the risk of damaging sensitive components. Moreover, JAKA's collaborative robots are engineered for flexibility, allowing for quick changeovers and easy programming. Unlike traditional systems that require extensive downtime for retooling, JAKA's intuitive design enables operators to guide the robot through new tasks without needing to write code. This adaptability is particularly beneficial in environments with varying product shapes, as it allows for efficient deployment in tight spaces. To enhance performance, JAKA ensures that its robotic arms communicate effectively with a range of end-effectors, including force-sensing grippers and suction heads. This capability allows a single robot to switch between different tools within the same cycle, optimizing operations for diverse items. By focusing on creating a reliable and user-friendly foundation, JAKA aims to simplify the management of delicate and varied pick and place tasks, ultimately enhancing productivity in manufacturing settings.

Vine-inspired robotic gripper gently lifts heavy and fragile objects

Vine-inspired robotic gripper gently lifts heavy and fragile objects

Researchers have developed an innovative vine robot capable of safely and stably lifting various heavy and fragile objects, including watermelons. This advancement, highlighted by Jennifer Chu, showcases the robot's ability to mimic the gripping mechanism of natural vines, which can wrap around obstacles with significant force. The project aims to enhance efficiency in horticulture by providing a reliable solution for handling delicate produce. The demonstration of the vine robot's capabilities marks a significant step forward in agricultural technology, potentially transforming how farmers manage and transport crops.

Bio-hybrid robots turn food waste into functional machines

Bio-hybrid robots turn food waste into functional machines

Researchers at the CREATE Lab of the École Polytechnique Fédérale de Lausanne (EPFL) have unveiled a groundbreaking robotic gripper crafted from langoustine tails. This innovative design, showcased in 2025, marks a significant departure from traditional robotic components typically made from metals and plastics. By drawing inspiration from nature, the team aims to enhance the functionality and adaptability of robotic systems. The use of organic materials not only aligns with sustainable practices but also offers unique advantages in terms of flexibility and grip. This development highlights a growing trend in robotics, where natural elements are increasingly influencing technological advancements.

Sunday Robotics' Third Teaser Reveals "In-House" Dual-Gripper and a Wheeled, Non-Humanoid Body

Sunday Robotics' Third Teaser Reveals "In-House" Dual-Gripper and a Wheeled, Non-Humanoid Body

Sunday Robotics unveiled its latest innovation in a groundbreaking video, showcasing a wheeled robot equipped with a vertical lift. This robot features a custom-designed dual-gripper end-effector, which was developed entirely in-house. The demonstration highlights the robot's ability to execute a complex two-glass pickup, emphasizing a "utility-first" approach that marks a significant shift away from traditional humanoid robotics. This reveal represents a pivotal moment for the company, as it seeks to redefine the capabilities and applications of robotic technology.

Sunday Robotics
Sunday Robotics' Second Teaser Reveals a Key Bet: A Simple Gripper Powered by a 'Full Stack' Brain

Sunday Robotics' Second Teaser Reveals a Key Bet: A Simple Gripper Powered by a 'Full Stack' Brain

Sunday Robotics has unveiled a new daily video demonstrating a two-fingered claw capable of precisely handling a dishwasher tablet. The company emphasizes that the impressive "millimeter level precision" of the device is attributed to advanced software rather than intricate hardware design. This innovation highlights the potential for software-driven robotics to achieve high levels of accuracy in simple tasks, showcasing the evolving capabilities of robotic technology. The video serves as a testament to the company's commitment to enhancing robotic functionality through software advancements, marking a significant step in the field of automation.

Sunday Robotics
Scientists create a magnetic lantern that moves like it’s alive

Scientists create a magnetic lantern that moves like it’s alive

Engineers at North Carolina State University have developed an innovative polymer structure resembling a Chinese lantern that can quickly transform into various stable three-dimensional shapes, such as a lantern or a spinning top, through compression or twisting. This breakthrough, achieved by incorporating a magnetic layer, enables remote control of the shape-shifting process. The versatile design allows the lanterns to function as grippers, filters, or expandable mechanisms, showcasing potential applications in robotics and other fields.

Boston Dynamics Details its 'Good Enough' Approach to Humanoid Hands

Boston Dynamics Details its 'Good Enough' Approach to Humanoid Hands

Boston Dynamics engineers have released a new video detailing the design philosophy behind the electric Atlas robot's innovative three-fingered grippers. The engineers highlight their approach, which focuses on achieving a practical balance between dexterity, reliability, and simplified complexity to enhance the robot's ability to manipulate objects in real-world scenarios. This development reflects the company's ongoing commitment to advancing robotic technology for practical applications. The video aims to provide insights into the engineering challenges and solutions that shape the Atlas's functionality, showcasing how these grippers are designed to perform effectively in diverse environments.

hand Atlas hands grippers Boston Dynamics
Agility Robotics Upgrades Digit Humanoid with Enhanced Safety, Autonomy, and AMR Integration

Agility Robotics Upgrades Digit Humanoid with Enhanced Safety, Autonomy, and AMR Integration

Agility Robotics has unveiled significant upgrades to its Digit humanoid robot, enhancing its capabilities for industrial applications. The announcement, made recently, highlights improvements in safety features, including a CAT1 stop and Functional Safety over EtherCAT (FSoE), which are designed to ensure safer interactions in workplace environments. Additionally, the robot's battery life has been extended to four hours, complemented by a new autonomous charging system. The redesign includes advanced limbs and grippers, allowing for more versatile handling of various tasks. Furthermore, Digit is now integrated with Autonomous Mobile Robots (AMRs), facilitating smoother operations in warehouse settings. These enhancements are aimed at accelerating the commercial deployment of Digit in the logistics sector, addressing the growing demand for automation in warehouses.

Digit Agility Robotics
Smart Sensing: CMU Researchers Develop Robotic Platform to Boost Corn Crop Health

Smart Sensing: CMU Researchers Develop Robotic Platform to Boost Corn Crop Health

Researchers at Carnegie Mellon University have developed an advanced robotic platform designed to enhance corn crop health. This innovative robot arm autonomously identifies the optimal stalks and executes a precise motion sequence to position the stalks within its gripper. The initiative, announced recently, aims to address the critical role corn plays in global industry and agriculture, serving as a key ingredient in products ranging from tortillas to ethanol and starch. By improving the efficiency and effectiveness of corn cultivation, the researchers hope to contribute to the sustainability and productivity of this vital crop.

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