ABB Robotics and PSYONIC Join Forces for Advanced Robotic Dexterity with Real-World Prosthetic Data

June 16, 2026
ABB Robotics and PSYONIC Join Forces for Advanced Robotic Dexterity with Real-World Prosthetic Data
  • ABB Robotics and PSYONIC are teaming up to boost dexterous robotic manipulation by training robots with real-world data from prosthetic users, combining PSYONIC’s Ability Hand with ABB’s GoFa cobot to push toward Autonomous Versatile Robots that can sense, reason, and handle objects in dynamic environments.

  • The collaboration aims to close the gap between human dexterity and industrial robotics, advancing robots that can autonomously adapt to varied tasks and settings.

  • ABB’s GoFa cobot provides the precision, accuracy, and repeatable grip variations needed for reliable industrial deployment.

  • The overarching goal is to enable robots to perform delicate and variable tasks more reliably across multiple industries.

  • Industry context, per the IFR, shows that advanced gripping and digital end-to-arm tooling can cut engineering time by up to 30%, underscoring the efficiency gains of the collaboration.

  • End-of-arm tooling and digital integration are highlighted as key drivers of productivity, with potential 30% reductions in engineering time.

  • The IFR’s insight reinforces the strategic value of improving gripping tech and digital integration in this partnership.

  • Initial focus will be on high-volume pick-and-place tasks in automotive and warehouse contexts, with plans to expand into laboratory automation, aerospace, packaging, and logistics while targeting reliability over 99% within six to twelve months.

  • The collaboration will explore how traditional gripping struggles with variability, fragility, or complexity can be addressed in these sectors.

  • Applications are envisioned across automotive, aerospace, packaging and logistics, and life sciences, targeting repetitive, ergonomically challenging, or variable tasks.

  • The project targets repetitive, ergonomically challenging, or hard-to-scale tasks to boost productivity, flexibility, and workplace safety.

  • Both companies emphasize expanding into more environments and enabling capable, adaptable robots to operate reliably in real-world settings.

Summary based on 5 sources


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