Papers
15
Total Citations
236
H-Index
8
About
Arnaud Tanguy is a leading researcher in humanoid robotics, with a focus on deploying bipedal machines in complex, real-world industrial environments. His most impactful work, the 2019 paper "Humanoid Robots in Aircraft Manufacturing: The Airbus Use Cases" (94 citations), demonstrates the practical application of humanoid robots for assembly tasks in spaces inaccessible to wheeled platforms. Tanguy’s core contributions lie in advancing loco-manipulation—enabling robots to move objects while walking—and in developing robust control strategies for multi-contact scenarios, where robots must manage both fixed and sliding contacts with their environment. His research on closed-loop Model Predictive Control (MPC) with dense visual SLAM (19 citations) and adaptive-gain quadratic programming (7 citations) has significantly improved the stability and autonomy of humanoid locomotion. Tanguy has also pioneered work in cybernetic avatar systems for telepresence (18 citations) and enhanced visual feedback for immersive teleoperation (15 citations), bridging the gap between human operators and remote robots. His contributions are critical for the future of manufacturing, exploration, and skill transfer, establishing him as a key figure in making humanoid robots viable for dynamic, unstructured settings.
Research Focus
Key Achievements
Top Papers
- 1Humanoid Robots in Aircraft Manufacturing: The Airbus Use Cases94 citations · 2019
- 2Humanoid Loco-Manipulations Pattern Generation and Stabilization Control23 citations · 2021
- 3Closed-loop MPC with Dense Visual SLAM - Stability through Reactive Stepping19 citations · 2019
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- 5Online Object Searching by a Humanoid Robot in an Unknown Environment16 citations · 2021
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- 9Adaptive-Gains Enforcing Constraints in Closed-Loop QP Control7 citations · 2020
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