Jessie Van Dam
Papers
1
Total Citations
16
H-Index
1
About
Jessie Van Dam is a robotics researcher whose work focuses on the safe and reliable deployment of legged robots in unstructured, real-world environments. Her primary research areas include collision detection, contact force estimation, and the control of legged manipulators—systems that combine quadrupedal locomotion with robotic arms. Van Dam’s most notable contribution is her 2022 paper, “Collision detection and identification for a legged manipulator,” which has garnered 16 citations. In this work, she proposes a novel pipeline that enables a quadrupedal manipulator to reliably detect unexpected contacts and accurately estimate the corresponding contact forces—a critical capability for ensuring safety during physical interaction with humans and surroundings. This research addresses a fundamental challenge in field robotics, where robots must navigate unpredictable terrain and handle accidental bumps without destabilizing. By advancing the robustness of legged systems, Van Dam’s work paves the way for practical applications in search-and-rescue, industrial inspection, and domestic assistance. Her contributions are particularly valuable for students and researchers interested in bridging the gap between simulation and real-world deployment of autonomous robots.
Research Focus
Key Achievements
Top Papers
- 1Collision detection and identification for a legged manipulator16 citations · 2022