Ubiros develops fully electric soft robotic grippers for delicate and irregular object handling. Its systems use precision motor control for real-time force and position adjustment, eliminating pneumatics while enabling adaptive gripping in food, pharmaceutical, and cosmetic automation workflows.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
A research team led by Professor Sun Jiefeng at Arizona State University has developed a new artificial muscle structure known as HARP (Helical Anisotropic Reinforced Actuator). Unlike traditional artificial muscles that compromise on performance, HARP offers modularity and flexibility, allowing for adjustments in materials and design parameters to meet various application needs. This innovation is significant as it addresses the limitations of existing artificial muscles, which often excel in specific scenarios but struggle to meet multiple requirements simultaneously. HARP achieves an impressive power density of 1.93 kW/kg, a contraction rate of up to 75%, and the ability to lift weights up to 100 times its own weight, making it suitable for diverse and complex applications. Looking ahead, the HARP's modular design allows for customization and optimization of its components, enhancing its adaptability in extreme environments. The research team demonstrated HARP's durability in wear resistance tests, showcasing its potential for reliable operation in harsh industrial settings. No further timeline was disclosed at the time of publication.
Artificial Muscles Robotics Modular Design Self-Healing MaterialsPHANES AI, established by 28-year-old Yang Shuo from HIT, has introduced TouchWorld, a tactile foundation model designed to enhance robotic manipulation capabilities. This model enables robots to perform precise physical tasks by incorporating a sense of touch, marking a significant advancement in robotic dexterity and interaction with their environment. The introduction of TouchWorld is significant as it allows robots to predict and react to tactile stimuli, which is crucial for applications requiring fine motor skills. This development could lead to improved performance in various sectors, including manufacturing and healthcare, where dexterous manipulation is essential for tasks such as assembly or surgical procedures. Looking ahead, the impact of TouchWorld on the robotics industry will be closely monitored, particularly regarding its adoption in real-world applications. No further timeline was disclosed at the time of publication, but the potential for this technology to transform robotic capabilities is substantial.
TechnologyOn July 9, 2026, 1X, a unicorn supported by OpenAI, unveiled the Neo robotic hand designed for humanoid robots. This advanced hand boasts 25 degrees of freedom, enabling it to perform a wide range of human-like tasks, such as delicately picking grapes without crushing them and lifting weights up to 20 pounds. The innovative design incorporates a tendon-driven system that enhances dexterity and responsiveness. The significance of the Neo robotic hand lies in its unique 'Force Transparency' technology, which allows for bidirectional communication between the hand and its environment. Unlike traditional robotic hands that operate with high gear ratios, the Neo hand utilizes a low gear ratio of approximately 5:1 to 15:1, enabling it to provide real-time feedback on applied forces. This design not only enhances the hand's functionality but also improves the training of AI models by providing rich physical interaction data. Looking ahead, while the Neo hand addresses fundamental perception challenges, real-world complexities remain a concern. The hand must operate effectively in various domestic environments, where it may encounter grease, sauces, or dust. Ensuring safety during interactions with children and maintaining functionality in challenging conditions will be critical for the widespread adoption of this technology. No further timeline was disclosed at the time of publication.
Robotic Hands Humanoid Robots AI Tactile Sensors Robotics TechnologyResearchers from Japan's JAIST and King's College London have developed EleTac, a soft robotic gripper inspired by the trunk of an elephant. This innovative design integrates grasping, external tactile perception, and proprioception within a single soft structure. The gripper can manipulate various objects, including tofu and fabric, while estimating contact position and force using a vacuum system operating at 30 kPa. The significance of EleTac lies in its ability to handle delicate and irregularly shaped items, addressing the challenges of soft robotics. Traditional rigid grippers utilize clear joints for sensing, while soft grippers often struggle with limited perception due to their material properties. EleTac's design allows for continuous tactile sensing across its surface, enhancing its ability to discern between self-induced deformations and external contacts. Future developments will focus on refining the visual-based tactile sensing capabilities of EleTac, which utilizes an internal optical system to monitor material deformation. This advancement could lead to improved performance in applications requiring precise manipulation of fragile objects. No further timeline was disclosed at the time of publication.
Soft Robotics Tactile Sensing Proprioception Robotic GrippersNorwegian robotics firm 1X has introduced new 25-degree-of-freedom (DOF) tendon-driven hands for its NEO humanoid robot, marking a significant advancement in robotic dexterity. These hands feature 22 actuated joints across the fingers and palm, along with three at the wrist, enabling NEO to perform tasks such as assembling LEGO models and catching balls with precision and strength. The redesigned hands allow for force sensing and durability, overcoming previous hardware limitations in robotic manipulation. With a unique tendon-drive system and low gear ratios, the hands can detect contact forces and provide continuous proprioception, enhancing the robot's ability to manipulate objects safely and effectively. The hands' human-like joint distribution, particularly the opposable thumb, facilitates a wide range of fine manipulation tasks, making NEO suitable for various household applications. 1X has commenced mass production of the NEO robot at its new California facility, aiming to commercialize home robots for daily assistance. The company emphasizes the hands' combination of precision, strength, and safety features, including IP68 waterproofing and self-cleaning capabilities. No further timeline was disclosed at the time of publication.
AI and RoboticsResearchers from Queen Mary University of London and the University of Florence have unveiled a groundbreaking mechanochromic film measuring just 16 microns in thickness, designed to enhance tactile sensing capabilities in robots. This innovative sensor operates without the need for deep learning, directly translating mechanical strain into color changes. As a result, it generates real-time pressure maps with an impressive spatial resolution of around 100 microns. This advancement significantly boosts the dexterity of robotic systems, enabling them to interact more effectively with their environments. The development marks a notable step forward in robotics, potentially transforming how machines perceive and respond to tactile stimuli.
Tactile Sensors Robotics Mechanochromic Materials Pressure MappingResearchers at Harbin Institute of Technology have unveiled a groundbreaking electrostatic gripper capable of adjusting its stiffness on demand. This innovative device remains soft when in contact with objects, allowing for improved adherence, and transitions to a rigid state during transport to mitigate the risk of drop-offs caused by inertia. The development aims to enhance the stable handling of diverse surfaces and has been integrated into mobile robots, significantly boosting their operational performance. This advancement represents a significant step forward in robotic manipulation technology, promising to improve efficiency in various applications.
Electrostatic Grippers Robotics Mobile Manipulation Variable Stiffness TechnologyHumanoid has announced that its KinetIQ Ascend technology achieves an impressive 99.9% manipulation reliability, capable of performing industrial tasks at human speed and even surpassing it. This breakthrough is attributed to advanced reinforcement learning techniques that enable robots to exhibit human-level dexterity. The development marks a significant advancement in robotics, potentially transforming efficiency in various industrial applications.
Artificial Intelligence Artificial Intelligence / Cognition Humanoids News dexterous manipulation humanoidResearchers have developed an innovative color-changing tactile sensor that enables machines to perceive and respond to their surroundings in real-time. This groundbreaking technology was unveiled in October 2023 and represents a significant advancement in the field of robotics and artificial intelligence. The sensor mimics the way humans and animals sense touch and texture, providing machines with the ability to "see" and interpret the materials they come into contact with. The motivation behind this development lies in enhancing the interaction between machines and their environment, allowing for more sophisticated and responsive robotic systems. By integrating this tactile sensor, robots can better understand the properties of objects, leading to improved performance in various applications, such as manufacturing, healthcare, and service industries. The process involves a combination of advanced materials and engineering techniques that allow the sensor to change color based on the pressure and texture of the surfaces it touches. This visual feedback not only aids in object recognition but also enhances the machine's ability to make informed decisions based on tactile information. As this technology continues to evolve, it holds the potential to revolutionize how machines interact with the world, paving the way for smarter, more adaptable robotic systems that can operate effectively in diverse environments.
AI and RoboticsEngineers at Queen Mary University of London have developed an innovative color-changing tactile sensor that enables robots to perceive their environment through both sight and touch in real-time. The groundbreaking invention, led by postdoctoral researcher Giacomo Sasso from the School of Engineering and Materials Science, utilizes a unique mechanism that converts invisible forces into vibrant color patterns. This technology allows for the immediate generation of high-resolution maps detailing contact, strain, and pressure, significantly enhancing robotic interaction with their surroundings. The advancement promises to improve the capabilities of robots in various applications, from manufacturing to healthcare, by providing them with a more nuanced understanding of their physical interactions.
Robotics
Leave a comment