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ValueNetQP: Learned one-step optimal control for legged locomotion

ValueNetQP: Learned one-step optimal control for legged locomotion

11 January 2022
Julian Viereck
Avadesh Meduri
Ludovic Righetti
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Papers citing "ValueNetQP: Learned one-step optimal control for legged locomotion"

5 / 5 papers shown
Title
Infinite-Horizon Value Function Approximation for Model Predictive Control
Armand Jordana
Sébastien Kleff
Arthur Haffemayer
Joaquim Ortiz de Haro
Justin Carpentier
Nicolas Mansard
Ludovic Righetti
41
0
0
10 Feb 2025
Learning-based legged locomotion; state of the art and future
  perspectives
Learning-based legged locomotion; state of the art and future perspectives
Sehoon Ha
Joonho Lee
M. van de Panne
Zhaoming Xie
Wenhao Yu
Majid Khadiv
47
16
0
03 Jun 2024
Online Multi-Contact Receding Horizon Planning via Value Function
  Approximation
Online Multi-Contact Receding Horizon Planning via Value Function Approximation
Jiayi Wang
Sanghyun Kim
Teguh Santoso Lembono
Wenqian Du
Jae-Koo Shim
...
Ke Min Wang
V. Ivan
Sylvain Calinon
S. Vijayakumar
Steve Tonneau
16
4
0
07 Jun 2023
BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body
  Motion Planning
BiConMP: A Nonlinear Model Predictive Control Framework for Whole Body Motion Planning
Avadesh Meduri
Paarth Shah
Julian Viereck
Majid Khadiv
Ioannis Havoutis
Ludovic Righetti
24
73
0
19 Jan 2022
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement
  Learning
Learning to Walk in Minutes Using Massively Parallel Deep Reinforcement Learning
Nikita Rudin
David Hoeller
Philipp Reist
Marco Hutter
115
545
0
24 Sep 2021
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