Error recovery in wearable robotic Co-Grasping: the role of human-led correction
These results indicate that trust in faulty automation can be repaired and that enabling users to assume control over system actuation in response to such faults can prevent errors from negatively affecting overall device function. Facilitating human-led dynamic changes in human and robot role allocation through this Co-Grasping device lays a promising foundation for unique human-robot interactions that promote high performance and where trust can recover quickly, despite existing challenges in developing perfect automated systems.
Authors
- Hannah S. Stuart (ORCID: https://orcid.org/0000-0003-4628-6561)
- Wilson Torres (ORCID: https://orcid.org/0000-0003-4974-4636)
- Erin Y. Chang (ORCID: https://orcid.org/0000-0003-2480-8576)
Institutions
- University of California, Berkeley (US)
Publication Details
- Journal
- Frontiers in Robotics and AI
- Published
- 2025-10-09
- DOI
- https://doi.org/10.3389/frobt.2025.1598296
- Citations
- 1
- Primary Topic
- Robot Manipulation and Learning
- Type
- article
- Field-Weighted Citation Impact
- 1.21