Papers
18
Total Citations
691
H-Index
11
About
Maximilien Naveau is a robotics researcher whose work sits at the intersection of optimal control, legged locomotion, and whole-body motion planning for humanoid and multi-legged robots. He is perhaps best known as a key contributor to **Crocoddyl**, an open-source framework for multi-contact optimal control that has amassed over 250 citations and become a widely adopted tool in the robotics community for computing efficient state trajectories and control policies under complex contact sequences. His influential work on walking pattern generators — including both versatile trajectory planning (114 citations) and real-time nonlinear model predictive control for humanoid robots (97 citations) — has helped establish practical foundations for stable, reactive bipedal locomotion. Naveau has also contributed to whole-body model predictive control on torque-controlled humanoid platforms and co-developed COCoMoPL, a hybrid approach combining optimal control, movement primitives, and machine learning for generating natural walking motions. Beyond locomotion, his involvement in the open-source TriFinger robot platform reflects a broader commitment to accessible, reproducible research in dexterous manipulation. Across his career, his contributions have collectively shaped how researchers design, benchmark, and deploy motion generation systems on real humanoid robots such as the HRP-2.
Research Focus
Key Achievements
Top Papers
- 1
- 2A versatile and efficient pattern generator for generalized legged locomotion114 citations · 2016
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- 6TriFinger: An Open-Source Robot for Learning Dexterity24 citations · 2020
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- 8Benchmarking the HRP-2 Humanoid Robot During Locomotion17 citations · 2018
- 9TriFinger: An Open-Source Robot for Learning Dexterity16 citations · 2020
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