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Planning for the Unexpected: Explicitly Optimizing Motions for Ground
  Uncertainty in Running

Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running

IEEE International Conference on Robotics and Automation (ICRA), 2020
28 January 2020
Kevin R. Green
Ross L. Hatton
J. Hurst
ArXiv (abs)PDFHTML

Papers citing "Planning for the Unexpected: Explicitly Optimizing Motions for Ground Uncertainty in Running"

10 / 10 papers shown
Situationally-Aware Dynamics Learning
Situationally-Aware Dynamics Learning
Alejandro Murillo-Gonzalez
Lantao Liu
394
0
0
26 May 2025
Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds
Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds
Jiatao Ding
Peiyu Yang
Fabio Boekel
Jens Kober
Wei Pan
Matteo Saveriano
Cosimo Della Santina
350
3
0
17 Apr 2025
Impact-Invariant Control: Maximizing Control Authority During Impacts
Impact-Invariant Control: Maximizing Control Authority During Impacts
William Yang
Michael Posa
326
7
0
01 Mar 2023
From Human Walking to Bipedal Robot Locomotion: Reflex Inspired
  Compensation on Planned and Unplanned Downsteps
From Human Walking to Bipedal Robot Locomotion: Reflex Inspired Compensation on Planned and Unplanned DownstepsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
J. Verhagen
Xiaobin Xiong
Aaron D. Ames
A. Seth
171
6
0
07 Sep 2022
Motion Planning for Agile Legged Locomotion using Failure Margin
  Constraints
Motion Planning for Agile Legged Locomotion using Failure Margin ConstraintsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kevin R. Green
John Warila
Ross L. Hatton
J. Hurst
148
1
0
28 Mar 2022
Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a
  Decoupled Actuated SLIP Model
Fast Online Optimization for Terrain-Blind Bipedal Robot Walking with a Decoupled Actuated SLIP Model
Ke Wang
He Fei
Petar Kormushev
130
8
0
20 Sep 2021
Impact Invariant Control with Applications to Bipedal Locomotion
Impact Invariant Control with Applications to Bipedal LocomotionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021
William Yang
Michael Posa
189
30
0
11 Mar 2021
SLIP Walking over Rough Terrain via H-LIP Stepping and
  Backstepping-Barrier Function Inspired Quadratic Program
SLIP Walking over Rough Terrain via H-LIP Stepping and Backstepping-Barrier Function Inspired Quadratic ProgramIEEE Robotics and Automation Letters (RA-L), 2021
Xiaobin Xiong
Aaron D. Ames
151
27
0
19 Feb 2021
Learning Task Space Actions for Bipedal Locomotion
Learning Task Space Actions for Bipedal Locomotion
Helei Duan
Jeremy Dao
Kevin R. Green
Taylor Apgar
Alan Fern
J. Hurst
294
58
0
09 Nov 2020
Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order
  Model
Learning Spring Mass Locomotion: Guiding Policies with a Reduced-Order Model
Kevin R. Green
Yesh Godse
Jeremy Dao
Ross L. Hatton
Alan Fern
J. Hurst
219
62
0
21 Oct 2020
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