Nicolas Perrin's Homepage

My main goal is to develop algorithms for autonomous, adaptive and robust control of complex dynamical systems.
As far as applications are concerned, I often focus on the motion control of virtual or physical humanoid robots, which are very challenging systems due to their nonlinear dynamics, underactuation, high dimensionality and redundancy.
To tackle the issues of autonomy, adaptiveness and robustness, I try to explore and combine several types of approaches based in particular on machine learning [↪], optimization [↪], computational geometry [↪], motion planning [↪] and formal methods [↪].

Scientific interests:
Artificial Intelligence, Automation & Control Theory, Robotics, Theoretical Computer Science.

Here's a list of my publications. Some of them can also be found on DBLP, Google Scholar, or HAL.