{"id":112014,"date":"2026-08-05T15:08:07","date_gmt":"2026-08-05T15:08:07","guid":{"rendered":"https:\/\/www.europesays.com\/ch\/112014\/"},"modified":"2026-08-05T15:08:07","modified_gmt":"2026-08-05T15:08:07","slug":"leveraging-human-generated-data-to-advance-robotic-dexterity","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ch\/112014\/","title":{"rendered":"Leveraging Human-Generated Data to Advance Robotic Dexterity"},"content":{"rendered":"

\"\"\/ PSYONIC\u2019s Ability Hand with an ABB GoFa cobot can be used to train robots to perform delicate, variable tasks that have traditionally been difficult to automate. (Image: ABB) <\/p>\n

ABB Robotics is collaborating with California bionics company, PSYONIC, to advance robotic gripping and dexterity using a new approach that utilizes real-world manipulation data from human prosthetic use. By combining the PSYONIC Ability Hand with an ABB GoFa\u2122 cobot, the collaboration will explore how touch and motion data generated by human prosthetic use can be used to train robots to perform delicate, variable tasks that have traditionally been difficult to automate.<\/p>\n

\u201cHuman dexterity and the instinctive understanding of how to handle different objects is one of the most difficult things to replicate in industrial-grade robotics, but it\u2019s a fundamental need for truly autonomous and versatile robots,\u201d said Marc Segura, President, ABB Robotics. \u201cAs we develop the next generation physical AI, robots will learn and understand the world as we do. This collaboration with PSYONIC will help to close the long-standing gap between human and robot dexterity, opening up new possibilities for a wide range of industries.\u201d<\/p>\n

\"\"\/ ABB GoFa helps test PSYONIC\u2019s Ability Hand for robotics, combining touch sensing, compliant design, and human-derived training data. (Image: ABB) <\/p>\n

Grasping and dexterity are central to Autonomous Versatile Robotics (AVR\u2122) \u2014 ABB Robotics\u2019 vision for robots that can sense, reason, move and handle objects with precision in dynamic environments. They are also critical to advancing physical AI in industry: robotic systems that can learn from real-world interaction and apply that intelligence with industrial-grade reliability. The collaboration will explore new applications across numerous industries, including automotive, aerospace, packaging and logistics, and life sciences.<\/p>\n

By enabling robots to take on tasks that are repetitive, ergonomically challenging or difficult to perform consistently at scale, ABB Robotics and PSYONIC can help people and robots to work together more effectively, while improving productivity, flexibility and workplace safety. PSYONIC is working closely with ABB Robotics\u2019 R&D team on integration and development, exploring how touch-enabled manipulation can support next-generation autonomous robotics applications.<\/p>\n

\"\"\/ By combining data generated through human prosthetic use ABB Robotics is advancing physical AI and enabling more capable robots to operate reliably in real-world environments. (Image: ABB) <\/p>\n

Originally developed for prosthetic use, the PSYONIC Ability Hand combines myoelectric control, touch sensing and compliant mechanics in a lightweight, multi-articulating design. Its pressure sensors and vibration feedback system enable users to detect contact, grip force and release, while flexible fingers conform naturally to irregular and deformable objects.<\/p>\n

\u201cDexterous manipulation is ultimately a data challenge as much as a hardware challenge,\u201d said Dr. Aadeel Akhtar, Founder and CEO of PSYONIC. \u201cBy using the same Ability Hand on people and on robots, we can capture high-fidelity real-world data on movement, contact and grip force, then use that to train robotic systems more effectively. Integrating with ABB Robotics\u2019 robotics platform allows us to expand into more environments and unlock the level of dexterity needed to take on the hardest challenges in automation.\u201d<\/p>\n

To support this work, ABB Robotics\u2019 GoFa provides the accuracy and repeatability required for industrial-grade deployment, ensuring that subtle variations in grip force, finger positioning and movement can be consistently executed and evaluated. This level of precision is critical for translating human-derived manipulation data into reliable robotic performance across complex, variable tasks.<\/p>\n

The collaboration will evaluate how this combined capability can be applied across industrial use cases where traditional gripping technologies struggle with variability, fragility or complexity such as handling irregular or delicate objects.<\/p>\n

By combining robotics, AI and real-world manipulation data generated through human prosthetic use, ABB Robotics is advancing physical AI and enabling more capable, adaptable robots to operate reliably in real-world environments.<\/p>\n

This article was contributed by ABB Robotics (Auburn Hills, MI). For more information, visit here\u00a0<\/a> . <\/p>\n

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