Guillaume Bellegarda

Orcid: 0000-0001-5809-3340

According to our database1, Guillaume Bellegarda authored at least 21 papers between 2014 and 2024.

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Bibliography

2024
Quadruped-Frog: Rapid Online Optimization of Continuous Quadruped Jumping.
CoRR, 2024

2023
Identifying important sensory feedback for learning locomotion skills.
Nat. Mac. Intell., August, 2023

ManyQuadrupeds: Learning a Single Locomotion Policy for Diverse Quadruped Robots.
CoRR, 2023

DeepTransition: Viability Leads to the Emergence of Gait Transitions in Learning Anticipatory Quadrupedal Locomotion Skills.
CoRR, 2023

Puppeteer and Marionette: Learning Anticipatory Quadrupedal Locomotion Based on Interactions of a Central Pattern Generator and Supraspinal Drive.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
CPG-RL: Learning Central Pattern Generators for Quadruped Locomotion.
IEEE Robotics Autom. Lett., 2022

Erratum to "Dynamic Vehicle Drifting With Nonlinear MPC and a Fused Kinematic-Dynamic Bicycle Model".
IEEE Control. Syst. Lett., 2022

Dynamic Vehicle Drifting With Nonlinear MPC and a Fused Kinematic-Dynamic Bicycle Model.
IEEE Control. Syst. Lett., 2022

Visual CPG-RL: Learning Central Pattern Generators for Visually-Guided Quadruped Navigation.
CoRR, 2022

Robust High-Speed Running for Quadruped Robots via Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021
Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning.
CoRR, 2021

2020
Robust Quadruped Jumping via Deep Reinforcement Learning.
CoRR, 2020

An Online Training Method for Augmenting MPC with Deep Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Versatile Trajectory Optimization Using a LCP Wheel Model for Dynamic Vehicle Maneuvers.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Leveraging Trajectory Optimization to Improve Deep Reinforcement Learning, with Application to Agile Wheeled Robot Locomotion.
PhD thesis, 2019

Combining Benefits from Trajectory Optimization and Deep Reinforcement Learning.
CoRR, 2019

Training in Task Space to Speed Up and Guide Reinforcement Learning.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Trajectory Optimization for a Wheel-Legged System for Dynamic Maneuvers that Allow for Wheel Slip.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Nonintuitive Optima for Dynamic Locomotion: The Acrollbot.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Design and Evaluation of Skating Motions for a Dexterous Quadruped.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2014
Experimental Design for Human-in-the-Loop Driving Simulations.
CoRR, 2014


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