Bruno Carrez — accepted AI-conference papers

2024

CtRL-Sim: Reactive and Controllable Driving Agents with Offline Reinforcement Learning

Luke Rowe, Roger Girgis, Anthony Gosselin, Bruno Carrez, Florian Golemo, Felix Heide +2

CoRL 2024poster

Evaluating autonomous vehicle stacks (AVs) in simulation typically involves replaying driving logs from real-world recorded traffic. However, agents replayed from offline data are not reactive and hard to intuitively control. Existing approaches address these challenges by proposing methods that rel…

Cited by 6 Source ↗Scholar ↗

2021

Real-Time Simulation for Control of Soft Robots With Self-Collisions Using Model Order Reduction for Contact Forces

Olivier Goury, Bruno Carrez, Christian Duriez

RA-L 2021

In rigid robotics, self-collision are usually avoided since it leads to a failure in the robot control and can also cause damage. In soft robotics, the situation is very different, and self-collisions may even be a desirable property, for example to gain artificial stiffness or to provide a natural

Cited by 33 Source ↗Scholar ↗