Jorge Vilchis
Papers
1
Total Citations
4
H-Index
1
About
Jorge Vilchis is a robotics researcher whose work lies at the intersection of human-robot interaction, perception, and dexterous manipulation. His most cited paper, "Human-in-the-loop Pose Estimation via Shared Autonomy" (2021, 4 citations), tackles a core challenge in shared autonomy: enabling robots to reliably perceive the 6-degree-of-freedom pose of objects during complex manipulation tasks. By proposing a framework that balances human operation with robot automation, Vilchis addresses the critical bottleneck of limited robotic perception in dynamic environments. This work has implications for assistive robotics, manufacturing, and teleoperation, where seamless human-robot collaboration is essential. Though early in his career, Vilchis’s focus on integrating human insight into robotic perception systems marks a promising contribution to making shared autonomy more robust and practical. His research continues to explore how humans and robots can jointly handle uncertainty, paving the way for safer and more efficient autonomous systems in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1Human-in-the-loop Pose Estimation via Shared Autonomy4 citations · 2021