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pro vyhledávání: '"Duclusaud, Marc"'
Humanoid robotics faces significant challenges in achieving stable locomotion and recovering from falls in dynamic environments. Traditional methods, such as Model Predictive Control (MPC) and Key Frame Based (KFB) routines, either require extensive
Externí odkaz:
http://arxiv.org/abs/2410.08655
Accurate physical simulation is crucial for the development and validation of control algorithms in robotic systems. Recent works in Reinforcement Learning (RL) take notably advantage of extensive simulations to produce efficient robot control. State
Externí odkaz:
http://arxiv.org/abs/2410.08650
Autor:
Allali, Julien, Boussicault, Adrien, Brocaire, Cyprien, Dobigeon, Céline, Duclusaud, Marc, Gaspard, Clément, Gimbert, Hugo, Gondry, Loïc, Ly, Olivier, Passault, Grégoire, Pirrone, Antoine
Publikováno v:
RoboCup Symposium 2023
In 2023, Rhoban Football Club reached the first place of the KidSize soccer competition for the fifth time, and received the best humanoid award. This paper presents and reviews important points in robots architecture and workflow, with hindsights fr
Externí odkaz:
http://arxiv.org/abs/2402.00612