Papers
1
Total Citations
6
H-Index
1
About
Dr. Hakima Dermeche is a leading researcher in robotics and human-robot interaction, with a primary focus on Programming by Demonstration (PbD). Her most cited work, "Trajectory reconstruction for robot programming by demonstration" (2020, 6 citations), addresses a fundamental challenge in robotics: faithfully reproducing complex human hand movements. By developing novel methods for trajectory reconstruction, she has tackled the persistent difficulty of recreating intricate motions with numerous crossing points—a limitation of conventional machine learning approaches. Her contributions demonstrate how PbD offers a superior framework for intuitive robot teaching, enabling more natural and accurate skill transfer from humans to machines. This work has significant implications for collaborative robotics, where precise motion replication is critical for tasks ranging from assembly to assistive technologies. Dr. Dermeche’s research bridges the gap between human dexterity and robotic precision, advancing the frontier of autonomous systems. Her ongoing work continues to shape how robots learn from human demonstration, making her a notable voice in the evolution of intelligent, adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Trajectory reconstruction for robot programming by demonstration6 citations · 2020