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Wilson Jallet, PhD
WILLOW team, D.I. ENS and Inria

I am an incoming postdoctoral researcher at INRIA, in the WILLOW team. My work focuses on numerical optimization and optimal control for robotics.

Previously, I did my PhD in the Gepetto team at LAAS-CNRS, and the WILLOW team of Inria Paris, under the supervision of both Nicolas Mansard and Justin Carpentier.

Previously, I obtained an engineering degree from École polytechnique, and a master's degree in applied mathematics and computer science (MVA) from ENS Paris-Saclay.

Graduation

I am officially a doctor, after defending my thesis today.

The presentation was recorded and should be available soon.

The slides are available here.

Paper accepted at IEEE Humanoids 2024

Our paper From centroidal to whole-body models for legged locomotion: a comparative analysis with Ewen Dantec, has been accepted at the 2024 IEEE RAS Humanoids conference which will take place in Nancy, France in November.

In this paper, we investigate a comparison of using whole-body and two different reduced-order models for nonlinear model-predictive control on bipedal robots, using our optimal control library aligator (which has recently reached 100 stars on GitHub!)

screenshot from paper

We will be there in November to present our work, and perhaps more 😃

Check out the preprint here 📑

RSS 2024 paper

Our paper Parallel and Proximal Linear-Quadratic Methods for Real-Time Constrained Model-Predictive Control has been accepted at Robotics: Science and Systems (RSS) 2024!

It introduces a parallel direct method for solving the regularised linear system for the Newton step in either augmented Lagrangian or interior-point methods for nonlinear MPC.

I will be in Delft this week for the presentation on Tuesday morning.

Check it out here from the programme.

aligator release

We have released our nonlinear trajectory optimization library aligator.
Check out the repo here.

proxsuite-nlp release

We have publicly released our nonlinear programming library proxsuite-nlp.

New preprint

We have submitted a new journal paper, PROXDDP: Proximal Constrained Trajectory Optimization.

Check out our preprint here.

ICRA 2023 paper

Our paper Enforcing the consensus between Trajectory Optimization and Policy Learning for precise robot control (authored by Quentin le Lidec) was accepted at ICRA 2023.

IROS 2022 paper

Our paper Constrained Differential Dynamic Programming: A primal-dual augmented Lagrangian approach has been accepted at IROS 2022.

Check out the preprint here.

ICRA 2022 paper

Our paper Implicit Differential Dynamic Programming has been accepted at ICRA 2022! Check out the final version here.