Herve Audrerr
Papers
1
Total Citations
22
H-Index
1
About
Hervé Audrerr is a leading researcher in humanoid robotics, with a primary focus on whole-body control, dynamic locomotion, and force estimation. His most significant contribution lies in developing model-based methods for external force and moment estimation in humanoid robots, eliminating the need for costly torque sensors. His seminal 2018 paper, "Model-Based External Force/Moment Estimation for Humanoid Robots with no Torque Measurement," has garnered 22 citations and is widely recognized for enabling more robust and cost-effective robot control. By leveraging dynamic models and proprioceptive data, Audrerr’s work allows robots to detect and react to external forces—such as pushes or contacts—without dedicated hardware, advancing the field toward more resilient and autonomous humanoids. His research has practical implications for disaster response and assistive robotics, where reliable force interaction is critical. Audrerr continues to influence the community through his innovative approaches to balancing, walking, and physical human-robot interaction, making him a key figure in modern humanoid robotics.
Research Focus
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Top Papers
- 1