Jean-Pierre Gaillard
Papers
1
Total Citations
3
H-Index
1
About
Jean-Pierre Gaillard is a researcher whose work sits at the intersection of human factors engineering and robotics, with a particular focus on human-robot interaction and operator supervision. His most cited paper, “Operator’s self confidence to detect mobile robot trajectory errors” (2003), explores a critical challenge in autonomous systems: how accurately human operators can monitor and identify errors in a mobile robot’s path. This study, which has garnered 3 citations, investigates the relationship between an operator’s confidence and their actual ability to detect trajectory deviations when supervising a low-cost robot through a control interface. Gaillard’s contribution lies in highlighting the cognitive and perceptual limitations of human supervisors—a key consideration for designing safer, more reliable human-robot teams. While his citation count is modest, his work addresses a foundational issue in shared control: the gap between perceived and actual monitoring performance. For students and researchers in human-robot interaction, Gaillard’s research offers a valuable reminder that effective robot supervision depends not only on technology but on understanding the human operator’s self-awareness and decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1Operator's self confidence to detect mobile robot trajectory errors3 citations · 2003