Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2011.01387
Cited By
v1
v2 (latest)
Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition
IEEE International Conference on Robotics and Automation (ICRA), 2020
2 November 2020
J. Siekmann
Yesh Godse
Alan Fern
J. Hurst
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition"
16 / 116 papers shown
Motion Planning for Agile Legged Locomotion using Failure Margin Constraints
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kevin R. Green
John Warila
Ross L. Hatton
J. Hurst
128
1
0
28 Mar 2022
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Alejandro Escontrela
Xue Bin Peng
Wenhao Yu
Tingnan Zhang
Atil Iscen
Ken Goldberg
Pieter Abbeel
216
161
0
28 Mar 2022
Sim-to-Real Learning of Footstep-Constrained Bipedal Dynamic Walking
IEEE International Conference on Robotics and Automation (ICRA), 2022
Helei Duan
A. Malik
Jeremy Dao
Aseem Saxena
Kevin R. Green
J. Siekmann
Alan Fern
J. Hurst
190
30
0
15 Mar 2022
Learning Torque Control for Quadrupedal Locomotion
IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2022
Shuxiao Chen
Bike Zhang
M. Mueller
Akshara Rai
Koushil Sreenath
248
49
0
10 Mar 2022
Bayesian Optimization Meets Hybrid Zero Dynamics: Safe Parameter Learning for Bipedal Locomotion Control
IEEE International Conference on Robotics and Automation (ICRA), 2022
Lizhi Yang
Zhongyu Li
Jun Zeng
Koushil Sreenath
249
14
0
04 Mar 2022
Learning Time-optimized Path Tracking with or without Sensory Feedback
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Jonas C. Kiemel
Torsten Kröger
158
2
0
03 Mar 2022
Concurrent Training of a Control Policy and a State Estimator for Dynamic and Robust Legged Locomotion
IEEE Robotics and Automation Letters (RA-L), 2022
Gwanghyeon Ji
Juhyeok Mun
Hyeongjun Kim
Jemin Hwangbo
282
202
0
11 Feb 2022
GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems
Artificial Intelligence (AIJ), 2022
Bhavya Sukhija
M. Turchetta
David Lindner
Andreas Krause
Sebastian Trimpe
Dominik Baumann
310
23
0
24 Jan 2022
Learning Free Gait Transition for Quadruped Robots via Phase-Guided Controller
IEEE Robotics and Automation Letters (RA-L), 2022
Yecheng Shao
Yongbin Jin
Xianwei Liu
Weiyan He
Hongtao Wang
Wei Yang
133
79
0
01 Jan 2022
Learning multiple gaits of quadruped robot using hierarchical reinforcement learning
Yunho Kim
Bukun Son
Dongjun Lee
193
9
0
09 Dec 2021
Validating Robotics Simulators on Real-World Impacts
Brian Acosta
William Yang
Michael Posa
380
38
0
01 Oct 2021
Natural Multicontact Walking for Robotic Assistive Devices via Musculoskeletal Models and Hybrid Zero Dynamics
Kejun Li
Maegan Tucker
Rachel Gehlhar
Yisong Yue
Aaron D. Ames
273
15
0
10 Sep 2021
Learning Quadruped Locomotion Policies using Logical Rules
International Conference on Automated Planning and Scheduling (ICAPS), 2021
David DeFazio
Yohei Hayamizu
Shiqi Zhang
220
4
0
23 Jul 2021
Blind Bipedal Stair Traversal via Sim-to-Real Reinforcement Learning
J. Siekmann
Kevin R. Green
John Warila
Alan Fern
J. Hurst
247
225
0
18 May 2021
Robust Feedback Motion Policy Design Using Reinforcement Learning on a 3D Digit Bipedal Robot
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Guillermo A. Castillo
Bowen Weng
Wei Zhang
Ayonga Hereid
111
69
0
29 Mar 2021
Robust High-speed Running for Quadruped Robots via Deep Reinforcement Learning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
Guillaume Bellegarda
Yiyu Chen
Zhuochen Liu
Quan Nguyen
270
58
0
11 Mar 2021
Previous
1
2
3