ABB Robotics and PSYONIC Use Human-Generated Data to Advance Robotic Dexterity
Quick Answer
ABB Robotics and PSYONIC are leveraging human-generated data to enhance robotic dexterity, focusing on improving the performance of robotic hands.
Quick Take
This collaboration aims to bridge the gap between human and robotic manipulation, potentially benefiting industries that rely on precise handling tasks.
Key Points
- The collaboration focuses on enhancing the dexterity of robotic hands.
- Human-generated data is used to improve robotic manipulation capabilities.
- Industries relying on precise handling may benefit from this advancement.
- ABB and PSYONIC aim to bridge the gap between human and robotic tasks.
Source Excerpt
-ABB Robotics and PSYONIC collaborate to revolutionize grasping and dexterity, a core capability for Autonomous Versatile Robotics™ -ABB GoFa™ helps test PSYONIC’s Ability Hand for robotics, combining touch sensing, compliant design and human-derived training data -Dexterity remains a major challenge for industry; improved handling can reduce engineering time by up to 30%¹
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from Robotics Tomorrow
See more →Dexory has integrated SimScale’s Engineering AI to enhance warehouse robotics development by automating simulation workflows and expediting engineering analysis. This initiative aims to identify where AI can add the most value in mechanical engineering, ultimately reducing product development cycles in a rapidly growing market projected to reach $117 billion by 2034.