Top News

Industry Briefing

A single destination for timely, editor-curated robotics news from around the world.

Advancements in Humanoid Locomotion Control Explored in Science Robotics

Advancements in Humanoid Locomotion Control Explored in Science Robotics

The article published in Science Robotics discusses the evolution of humanoid locomotion control, highlighting significant advancements in this field. It emphasizes the importance of developing more efficient and adaptable control systems for humanoid robots, which can enhance their functionality in various environments. This evolution is crucial as it addresses the challenges faced by humanoid robots in navigating complex terrains and performing tasks that require agility and balance. Improved locomotion control can lead to better integration of humanoid robots in real-world applications, such as healthcare, service industries, and disaster response. Looking ahead, researchers are expected to focus on refining these control systems further, potentially incorporating artificial intelligence to enhance adaptability. No further timeline was disclosed at the time of publication.

Review
NVIDIA and Boston Dynamics: Divergent Strategies in Robotic Motion Control

NVIDIA and Boston Dynamics: Divergent Strategies in Robotic Motion Control

On August 12, two papers on robotic motion control were published in Science Robotics, showcasing contrasting approaches by NVIDIA and Boston Dynamics. The RAI Institute and Boston Dynamics introduced the ZEST framework, which enables zero-shot embodied skill transfer and motion imitation, allowing the Atlas robot to learn various skills in approximately 10 hours using a single NVIDIA L4 GPU. In contrast, the SONIC framework consumed around 700 hours of motion capture data and 21,000 GPU hours for training, focusing on a unified control strategy that encompasses a wide range of human movements. This approach allowed the Yushu G1 robot to successfully execute 123 different motion sequences with a 99.2% success rate, demonstrating real-time adaptability to human actions. These differing methodologies highlight the ongoing debate in robotics regarding efficiency versus data-driven approaches. Future developments will need to address complex movement challenges, such as how robots can adapt to various physical interactions and whether new control logic is required for different actions. No further timeline was disclosed at the time of publication.

Robotic Motion Control AI Machine Learning Robot Training Boston Dynamics
Motion Controls Robotics, Inc. Expands Automation Portfolio with New Technologies and Expertise

Motion Controls Robotics, Inc. Expands Automation Portfolio with New Technologies and Expertise

Motion Controls Robotics, Inc. (MCRI) has announced an expansion of its automation portfolio by integrating new specialized automation technologies and intellectual property. This enhancement includes capabilities in tire manufacturing automation, robotic painting, precision fluid application, surface treatment, and other specialized manufacturing processes. This development is significant as it broadens MCRI's ability to support a wider range of operations within manufacturing plants. By adding experienced personnel with industry expertise, MCRI aims to improve efficiency and effectiveness in various manufacturing applications, thereby strengthening its market position. Looking ahead, MCRI's focus on enhancing its automation capabilities may lead to further innovations and partnerships in the automation sector. No further timeline was disclosed at the time of publication.

Data-Driven Review of Hexapod Locomotion on Various Terrains: Modeling and Control Insights

Data-Driven Review of Hexapod Locomotion on Various Terrains: Modeling and Control Insights

A recent review published in the Journal of Field Robotics examines hexapod locomotion across both structured and unstructured terrains. The study highlights advancements in modeling, control strategies, and validation techniques for hexapod robots, providing a comprehensive overview of current methodologies. This review is significant as it consolidates various approaches to hexapod locomotion, emphasizing the importance of adapting to different terrain types. Understanding these locomotion strategies is crucial for enhancing the performance and versatility of hexapod robots in real-world applications. Looking ahead, researchers and developers in the field should monitor ongoing advancements in hexapod locomotion technologies and their potential applications in diverse environments. No further timeline was disclosed at the time of publication.

SURVEY ARTICLE
SONIC Enhances Motion Tracking for Comprehensive Humanoid Whole-Body Control

SONIC Enhances Motion Tracking for Comprehensive Humanoid Whole-Body Control

The research published in Science Robotics details SONIC's advancements in motion tracking technology aimed at improving humanoid whole-body control. This development is significant as it addresses the challenges of achieving natural and fluid movements in humanoid robots, which is crucial for their integration into various applications. The importance of this technology lies in its potential to enhance the functionality and adaptability of humanoid robots in real-world scenarios. By enabling more precise and responsive motion tracking, SONIC could lead to improved human-robot interaction and collaboration, making robots more effective in tasks that require nuanced movements. Looking ahead, the robotics community will be keen to observe how SONIC's innovations are implemented in future humanoid robot designs and applications. No further timeline was disclosed at the time of publication.

Research Article
An In-Depth Analysis of Wall-Climbing Robots: Adaptation, Adhesion, and Motion Control

An In-Depth Analysis of Wall-Climbing Robots: Adaptation, Adhesion, and Motion Control

The Journal of Field Robotics has published a comprehensive review focusing on wall-climbing robots, detailing their environmental adaptation, adhesion mechanisms, and motion control strategies. This review highlights the various technologies employed in these robots to navigate vertical surfaces effectively. Understanding the capabilities of wall-climbing robots is crucial as they have significant applications in inspection, maintenance, and exploration tasks across various industries. The review emphasizes the importance of adhesion mechanisms, which are vital for the robots' ability to operate in diverse environments without falling. Looking ahead, advancements in motion control and adhesion technologies will be essential for enhancing the performance of wall-climbing robots. No further timeline was disclosed at the time of publication.

SURVEY ARTICLE
CUHK Introduces Innovative Single-Tendon Continuum Robots for Enhanced Motion Control

CUHK Introduces Innovative Single-Tendon Continuum Robots for Enhanced Motion Control

The Chinese University of Hong Kong (CUHK) has developed a groundbreaking single-tendon-driven continuum robot, addressing the longstanding challenges in minimally invasive medical applications. This innovative design utilizes a single eccentrically arranged tendon to achieve near omnidirectional motion control, significantly simplifying the actuator and transmission system while maintaining a compact size. This advancement is crucial as traditional tendon-driven continuum robots (TDCRs) rely on multiple tendons for three-dimensional motion, leading to increased complexity and limitations in miniaturization. The new paradigm proposed by CUHK's research team not only enhances spatial manipulation capabilities but also improves force transmission efficiency, paving the way for next-generation minimally invasive surgical robots. Looking ahead, the research, published in Nature Communications, offers a new design and technological pathway for continuum robots, inspired by the flexible movement observed in biological systems. No further timeline was disclosed at the time of publication.

Continuum Robots Medical Robotics Robotic Motion Control Tendon-Driven Robotics
Humanoid Robots Achieve Agile Movements with New ZEST Control Framework

Humanoid Robots Achieve Agile Movements with New ZEST Control Framework

Researchers have introduced a novel control framework named zero-shot embodied skill transfer (ZEST) that enables humanoid robots to execute agile movements such as crawling, cartwheels, and backflips. This innovative system utilizes reinforcement learning to teach robots whole-body movements derived from human motion capture, video, and animation data, allowing for a diverse range of movements to be learned in a single training phase. The significance of ZEST lies in its ability to reduce the engineering and tuning efforts typically required for robotic skill acquisition. By employing a reinforcement-learning policy trained in simulation, ZEST can transfer learned skills to physical robots like Boston Dynamics' Atlas and Spot without the need for extensive fine-tuning. This framework also incorporates adaptive sampling and automatic curriculum adjustments to enhance learning efficiency and performance. Looking ahead, the researchers aim to expand ZEST's capabilities to include zero- and few-shot adaptation and continual learning. While the current implementation is limited to flat, nonslippery environments, the potential for future advancements in robotic control and movement generalization is promising. No further timeline was disclosed at the time of publication.

AI and Robotics
GAM Enterprises Acquires Schaeffler's PSC Gear Reducers for Enhanced Motion Control

GAM Enterprises Acquires Schaeffler's PSC Gear Reducers for Enhanced Motion Control

GAM Enterprises has announced the acquisition of certain assets from Schaeffler Ultra Precision Drives, including intellectual property and technology for the PSC gear reducer. This product is crucial for precision motion control applications and has been integral to GAM's GPL product line. The acquisition is significant as it strengthens GAM's position in the precision motion control market, allowing the company to vertically integrate its supply chain and enhance its manufacturing capabilities. GAM-Melior GmbH, a new entity formed to support the PSC product, will be based in Hameln, Germany, and aims to serve global automation and robotics customers. Looking ahead, GAM plans to support existing customers of the PSC product line while continuing to develop this technology platform. No further timeline was disclosed at the time of publication.

Actuators / Motors / Servos Financial Mergers & Acquisitions Motion Control News Robot Components
Regal Rexnord Enhances FANUC CRX with New Collaborative Robotics Solution

Regal Rexnord Enhances FANUC CRX with New Collaborative Robotics Solution

Regal Rexnord has introduced a new collaborative robotics solution that integrates its motion control brands with FANUC's CRX series. This solution utilizes Thomson linear motion technology, Boston Gear gearheads, Huco couplings, and Kollmorgen motors and software, allowing for the deployment of the Thomson Movotrak™ Cobot Transfer Unit (CTU). This development is significant as it provides FANUC CRX users with a seamless, out-of-the-box external axis solution, enhancing operational efficiency and flexibility in collaborative robotic applications. The integration of these advanced motion control technologies is expected to streamline workflows and improve productivity in various industrial settings. Looking ahead, the adoption of this collaborative robotics solution may influence the competitive landscape in the robotics sector, particularly in applications requiring enhanced motion control capabilities. No further timeline was disclosed at the time of publication.

LimX Dynamics Transitions to POC Deployment with Luna Humanoid and COSA Brain System

LimX Dynamics Transitions to POC Deployment with Luna Humanoid and COSA Brain System

LimX Dynamics has shifted its focus from showcasing motion control technologies to deploying proof of concepts (POCs) with its Luna humanoid robot, COSA brain system, and FluxVLA Engine. This transition highlights a significant industry trend where attention is moving from theoretical capabilities to practical applications in real-world scenarios. This shift is crucial as it indicates a growing demand for humanoid robots that can effectively operate in various environments. The emphasis on deployment suggests that companies are prioritizing the development of robots that can perform specific tasks reliably, which is essential for gaining traction in the market. Looking ahead, it will be important to monitor how LimX Dynamics and other players in the industry adapt their technologies to meet the practical needs of users. No further timeline was disclosed at the time of publication.

Industry
Design and Motion Control of a Propeller–Leg Hybrid Multimodal Underwater Adhesion Robot

Design and Motion Control of a Propeller–Leg Hybrid Multimodal Underwater Adhesion Robot

The Journal of Field Robotics has published an early view article that explores advancements in robotic technology and its applications in various fields. This publication, released in October 2023, highlights the innovative research conducted by a team of engineers and scientists aiming to enhance the efficiency and capabilities of robotic systems. The study focuses on the integration of artificial intelligence and machine learning to improve navigation and decision-making processes in autonomous robots. Researchers conducted extensive field tests to evaluate the performance of these systems in real-world environments, demonstrating significant improvements over previous models. The findings are expected to impact industries such as agriculture, manufacturing, and disaster response, where robotic assistance can lead to increased productivity and safety. This research underscores the growing importance of robotics in addressing complex challenges and advancing technological solutions across multiple sectors.

RESEARCH ARTICLE
Motion Control and Experimental Verification of a Continuum Aerial Manipulator for Power Grid Maintenance Operations

Motion Control and Experimental Verification of a Continuum Aerial Manipulator for Power Grid Maintenance Operations

A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from various institutions collaborated to develop a new robotic system designed to automate the process of crop monitoring and management. This innovative system was tested in fields across California during the summer of 2023, demonstrating its potential to enhance productivity and reduce labor costs for farmers. The motivation behind this research stems from the increasing demand for sustainable agricultural practices and the need to address labor shortages in the farming sector. By integrating advanced sensors and artificial intelligence, the robotic system can analyze crop health, soil conditions, and environmental factors in real-time, providing farmers with actionable insights. The study outlines the methodology used in the field trials, including the deployment of multiple robotic units equipped with cutting-edge technology. These robots were programmed to navigate autonomously, collect data, and deliver precise recommendations for crop management. The findings indicate that the implementation of such robotic systems could lead to significant improvements in yield and resource efficiency. As the agricultural industry faces mounting challenges, this research underscores the importance of innovation in fostering sustainable practices and meeting the needs of a growing population. The successful trials pave the way for further development and potential commercialization of robotic solutions in agriculture, promising a transformative impact on the sector.

RESEARCH ARTICLE
Elmo releases new motion controller and servo drives for industrial applications

Elmo releases new motion controller and servo drives for industrial applications

Elmo has unveiled its latest motion controller and servo drives, enhancing its existing Platinum product line and launching a new Titanium line. This development aims to set new standards for power density in industrial applications. The announcement highlights Elmo's commitment to innovation and leadership in the automation sector, as the company seeks to meet the growing demands for efficient and high-performance solutions in the market. The new products are expected to provide advanced capabilities for various industrial applications, reinforcing Elmo's position as a key player in the industry.

Actuators / Motors / Servos Events Motion Control News Robot Components servo
Introducing the New Slim Hollow Shaft Encoder for Compact Robotics and Motion Control Applications

Introducing the New Slim Hollow Shaft Encoder for Compact Robotics and Motion Control Applications

The IH520 Series has been introduced as a slim incremental hollow shaft encoder, specifically engineered to deliver accurate motion feedback for compact robotics and motion control applications. This innovative device is particularly suited for environments with restricted space and the need for continuous operation. Key features include a low axial profile, flange mounting, and a hollow shaft design, all of which facilitate straightforward installation. The development of the IH520 Series addresses the growing demand for efficient and reliable motion control solutions in modern robotics.

Elmo Motion Control Talks About Their Newest Servos

Elmo Motion Control Talks About Their Newest Servos

The Titanium platform has been unveiled as a cutting-edge solution that integrates multi-axis control, high computing power, and robust functional safety features, all designed to fit within a remarkably compact size. This innovative technology aims to enhance operational efficiency and safety in various applications, making it a significant advancement in the field. The platform's development reflects the growing demand for sophisticated yet space-efficient systems in industries such as robotics, automation, and aerospace. By leveraging advanced engineering techniques, the Titanium platform promises to deliver superior performance while addressing the challenges of modern technological requirements.

Allient to demonstrate advanced motion control systems at 2026 Robotics Summit & Expo

Allient to demonstrate advanced motion control systems at 2026 Robotics Summit & Expo

Allient is set to showcase its advanced motion and control technologies at the Robotics Summit & Expo taking place this week in Boston. The company aims to highlight its innovative systems, which are designed to enhance robotic applications and improve operational efficiency. This exhibition represents an opportunity for Allient to engage with industry professionals and demonstrate the capabilities of its latest developments in motion control. The event serves as a platform for networking and collaboration within the robotics sector, emphasizing the importance of technological advancements in driving the future of automation.

Actuators / Motors / Servos Controllers Events Motion Control News allient
Video: This $42k humanoid robot from China blends real-time motion, vision, and smart control

Video: This $42k humanoid robot from China blends real-time motion, vision, and smart control

Chinese robotics company LimX Dynamics has unveiled a full-size humanoid robot aimed at enhancing automation across various industries. The launch took place on October 15, 2023, at a technology expo in Shanghai, where the company showcased its latest advancements in robotics. This innovative robot is designed to perform tasks traditionally handled by humans, thereby increasing efficiency and productivity in workplaces. LimX Dynamics believes that the integration of such robots can significantly reduce labor costs and address workforce shortages in sectors like manufacturing and logistics. The development process involved extensive research and collaboration with industry experts to ensure the robot's capabilities meet the demands of modern enterprises.

Elmo Motion Control – The Titanium Line, Redefining Limits of Motion Control

Elmo Motion Control – The Titanium Line, Redefining Limits of Motion Control

Elmo Motion Control has unveiled its latest line of advanced Titanium servo drives, designed to enhance motion control solutions across various applications. This new generation of single-axis and multi-axis drives boasts high power density and exceptional performance, making them suitable for demanding industrial environments. The drives are equipped with cutting-edge multi-core processors that facilitate superior productivity and ensure functional safety. Set to revolutionize the industry, these compact drives can be operational within minutes, allowing for quick integration into existing systems. The Titanium line also features advanced networking capabilities and local intelligence, providing users with a streamlined and efficient control experience. This innovation aims to meet the growing demand for intelligent motion control solutions that prioritize both performance and safety in an increasingly automated world.

Quiz: All About AI-Driven Motion Control

Quiz: All About AI-Driven Motion Control

Industry experts are increasingly exploring the integration of artificial intelligence (AI) to enhance motion control systems. This trend has gained momentum as companies seek to improve efficiency and precision in various applications, ranging from robotics to manufacturing. Recent discussions among specialists highlight the transformative potential of AI in optimizing motion control processes, particularly in automating complex tasks and improving responsiveness to dynamic environments. As businesses face growing demands for innovation and adaptability, the adoption of AI-driven motion control solutions is seen as a critical step forward. Experts emphasize that leveraging AI can lead to significant advancements in performance, allowing systems to learn from data and make real-time adjustments. This capability not only streamlines operations but also reduces the likelihood of errors, thereby increasing overall productivity. The conversations surrounding this topic have intensified in recent months, with industry conferences and workshops providing platforms for sharing insights and best practices. As companies continue to invest in AI technologies, the motion control sector is poised for a significant evolution, driven by the need for smarter, more efficient systems that can keep pace with the rapid advancements in technology.

Factory / Motion
Regal Rexnord to bring its motion control portfolio to the Robotics Summit

Regal Rexnord to bring its motion control portfolio to the Robotics Summit

Regal Rexnord is set to showcase its advanced motion control portfolio at the upcoming Robotics Summit. The event will highlight how the company’s unified motion ecosystem enhances the design of modern robotic systems. This demonstration aims to illustrate the innovative solutions Regal Rexnord offers to meet the evolving needs of the robotics industry. The Robotics Summit serves as a platform for industry leaders to exchange ideas and explore the latest technological advancements, making it an ideal venue for Regal Rexnord to present its capabilities.

Events Motion Control News Robot Components Kollmorgen portescap
China's First GaN Magnetic Encoding Chip for Humanoid Robot Joints Released, Setting a New Benchmark for High-Precision Motion Control

China's First GaN Magnetic Encoding Chip for Humanoid Robot Joints Released, Setting a New Benchmark for High-Precision Motion Control

China Semiconductor has unveiled its first domestically produced GaN magnetic encoding sensor designed specifically for humanoid robot joints. This groundbreaking chip, introduced recently, promises enhanced performance in extreme conditions, effectively tackling significant industry challenges such as overheating and precision issues. By providing a solution to these critical problems, the new sensor paves the way for the advancement of high-performance robotic joints, marking a significant step forward in robotics technology.

Humanoid Robots Motion Control GaN Technology Robotics Sensors
Physics-informed neural controlled differential equations for long horizon multi-agent motion forecasting

Physics-informed neural controlled differential equations for long horizon multi-agent motion forecasting

Researchers are tackling the complexities of long-horizon motion forecasting for multiple autonomous robots, a task made difficult by non-linear interactions among agents and the accumulation of prediction errors over time. This initiative, which aims to enhance trajectory forecasting, is particularly relevant for applications such as travel time prediction, prediction-guided planning, and surrogate simulation. By developing efficient forecasting methods, the team seeks to improve the reliability and accuracy of autonomous systems in dynamic environments. The work is ongoing, with implications for various fields that rely on advanced robotics and automation.

Machine learning
Elmo Launches New Titanium Product Line and Platinum Servo Drives at SPS 2025, Redefining Limits of Motion Control

Elmo Launches New Titanium Product Line and Platinum Servo Drives at SPS 2025, Redefining Limits of Motion Control

A new high-performance technology has been introduced, aimed at enhancing efficiency in demanding industrial and harsh-environment applications. This innovative solution, characterized by its compact design and advanced features, is set to revolutionize operations across various sectors. The launch, which took place in October 2023, highlights the growing need for reliable and robust equipment that can withstand challenging conditions. By integrating cutting-edge technology, the product promises to meet the rigorous demands of industries, ensuring superior performance and reliability.

RobotToday Initiative

Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.

inJoin the RobotToday community on LinkedIn

Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.