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RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and
  Optimal Control

RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control

5 December 2020
Siddhant Gangapurwala
Mathieu Geisert
Romeo Orsolino
Maurice F. Fallon
Ioannis Havoutis
ArXivPDFHTML

Papers citing "RLOC: Terrain-Aware Legged Locomotion using Reinforcement Learning and Optimal Control"

30 / 30 papers shown
Title
Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy
Reference Free Platform Adaptive Locomotion for Quadrupedal Robots using a Dynamics Conditioned Policy
David Rytz
Suyoung Choi
Wanming Yu
W. Merkt
Jemin Hwangbo
Ioannis Havoutis
15
0
0
21 May 2025
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion
Xin Duan
Ziwen Zhuang
Hang Zhao
Soeren Schwertfeger
65
2
0
30 Sep 2024
Residual-MPPI: Online Policy Customization for Continuous Control
Residual-MPPI: Online Policy Customization for Continuous Control
Pengcheng Wang
Chenran Li
Catherine Weaver
Kenta Kawamoto
Masayoshi Tomizuka
Chen Tang
Wei Zhan
OffRL
57
3
0
01 Jul 2024
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Deep Reinforcement Learning for Bipedal Locomotion: A Brief Survey
Lingfan Bao
Josephine N. Humphreys
Tianhu Peng
Chengxu Zhou
77
7
0
25 Apr 2024
HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System
HEROES: Unreal Engine-based Human and Emergency Robot Operation Education System
A. Chaudhary
Kshitij Tiwari
Aniket Bera
25
1
0
25 Sep 2023
SafeSteps: Learning Safer Footstep Planning Policies for Legged Robots via Model-Based Priors
SafeSteps: Learning Safer Footstep Planning Policies for Legged Robots via Model-Based Priors
Shafeef Omar
Lorenzo Amatucci
Victor Barasuol
Giulio Turrisi
Claudio Semini
35
3
0
24 Jul 2023
Quadrupedal Footstep Planning using Learned Motion Models of a Black-Box Controller
Quadrupedal Footstep Planning using Learned Motion Models of a Black-Box Controller
Ilyass Taouil
Giulio Turrisi
Daniel Schleich
Victor Barasuol
Claudio Semini
Sven Behnke
42
1
0
23 Jul 2023
Learning robust perceptive locomotion for quadrupedal robots in the wild
Learning robust perceptive locomotion for quadrupedal robots in the wild
Takahiro Miki
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
46
696
0
20 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
132
556
0
24 Sep 2021
Learning Quadrupedal Locomotion over Challenging Terrain
Learning Quadrupedal Locomotion over Challenging Terrain
Joonho Lee
Jemin Hwangbo
Lorenz Wellhausen
V. Koltun
Marco Hutter
57
1,152
0
21 Oct 2020
Learning Agile Robotic Locomotion Skills by Imitating Animals
Learning Agile Robotic Locomotion Skills by Imitating Animals
Xue Bin Peng
Erwin Coumans
Tingnan Zhang
T. Lee
Jie Tan
Sergey Levine
46
501
0
02 Apr 2020
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot
  Locomotion
Guided Constrained Policy Optimization for Dynamic Quadrupedal Robot Locomotion
Siddhant Gangapurwala
Alexander L. Mitchell
Ioannis Havoutis
37
55
0
22 Feb 2020
Policies Modulating Trajectory Generators
Policies Modulating Trajectory Generators
Atil Iscen
Ken Caluwaerts
Jie Tan
Tingnan Zhang
Erwin Coumans
Vikas Sindhwani
Vincent Vanhoucke
30
131
0
07 Oct 2019
DeepGait: Planning and Control of Quadrupedal Gaits using Deep
  Reinforcement Learning
DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning
Vassilios Tsounis
Mitja Alge
Joonho Lee
Farbod Farshidian
Marco Hutter
40
186
0
18 Sep 2019
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact
  Optimal Control
Crocoddyl: An Efficient and Versatile Framework for Multi-Contact Optimal Control
Carlos Mastalli
Rohan Budhiraja
W. Merkt
Guilhem Saurel
Bilal Hammoud
M. Naveau
Justin Carpentier
Ludovic Righetti
S. Vijayakumar
Nicolas Mansard
26
291
0
11 Sep 2019
Data Efficient Reinforcement Learning for Legged Robots
Data Efficient Reinforcement Learning for Legged Robots
Yuxiang Yang
Ken Caluwaerts
Atil Iscen
Tingnan Zhang
Jie Tan
Vikas Sindhwani
38
139
0
08 Jul 2019
Feedback MPC for Torque-Controlled Legged Robots
Feedback MPC for Torque-Controlled Legged Robots
R. Grandia
Farbod Farshidian
René Ranftl
Marco Hutter
18
156
0
15 May 2019
Feasible Region: an Actuation-Aware Extension of the Support Region
Feasible Region: an Actuation-Aware Extension of the Support Region
Romeo Orsolino
Michele Focchi
Stéphane Caron
G. Raiola
Victor Barasuol
Claudio Semini
26
34
0
19 Mar 2019
Learning agile and dynamic motor skills for legged robots
Learning agile and dynamic motor skills for legged robots
Jemin Hwangbo
Joonho Lee
Alexey Dosovitskiy
Dario Bellicoso
Vassilios Tsounis
V. Koltun
Marco Hutter
47
1,286
0
24 Jan 2019
Robust Recovery Controller for a Quadrupedal Robot using Deep
  Reinforcement Learning
Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
Joonho Lee
Jemin Hwangbo
Marco Hutter
29
87
0
22 Jan 2019
Learning to Walk via Deep Reinforcement Learning
Learning to Walk via Deep Reinforcement Learning
Tuomas Haarnoja
Sehoon Ha
Aurick Zhou
Jie Tan
George Tucker
Sergey Levine
56
435
0
26 Dec 2018
Soft Actor-Critic Algorithms and Applications
Soft Actor-Critic Algorithms and Applications
Tuomas Haarnoja
Aurick Zhou
Kristian Hartikainen
George Tucker
Sehoon Ha
...
Vikash Kumar
Henry Zhu
Abhishek Gupta
Pieter Abbeel
Sergey Levine
88
2,381
0
13 Dec 2018
Feedback Control For Cassie With Deep Reinforcement Learning
Feedback Control For Cassie With Deep Reinforcement Learning
Zhaoming Xie
Glen Berseth
Patrick Clary
J. Hurst
M. van de Panne
32
174
0
15 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods
Addressing Function Approximation Error in Actor-Critic Methods
Scott Fujimoto
H. V. Hoof
David Meger
OffRL
95
5,094
0
26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement
  Learning with a Stochastic Actor
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja
Aurick Zhou
Pieter Abbeel
Sergey Levine
134
8,227
0
04 Jan 2018
Application of Wrench based Feasibility Analysis to the Online
  Trajectory Optimization of Legged Robots
Application of Wrench based Feasibility Analysis to the Online Trajectory Optimization of Legged Robots
Romeo Orsolino
Michele Focchi
Carlos Mastalli
Hongkai Dai
D. Caldwell
Claudio Semini
14
53
0
19 Dec 2017
Proximal Policy Optimization Algorithms
Proximal Policy Optimization Algorithms
John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
OffRL
168
18,562
0
20 Jul 2017
Domain Randomization for Transferring Deep Neural Networks from
  Simulation to the Real World
Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World
Joshua Tobin
Rachel Fong
Alex Ray
Jonas Schneider
Wojciech Zaremba
Pieter Abbeel
73
2,936
0
20 Mar 2017
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
85
13,149
0
09 Sep 2015
Trust Region Policy Optimization
Trust Region Policy Optimization
John Schulman
Sergey Levine
Philipp Moritz
Michael I. Jordan
Pieter Abbeel
203
6,706
0
19 Feb 2015
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