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2011.05424
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Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots
10 November 2020
Maegan Tucker
Noel Csomay-Shanklin
Wen-Loong Ma
Aaron D. Ames
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Papers citing
"Preference-Based Learning for User-Guided HZD Gait Generation on Bipedal Walking Robots"
17 / 17 papers shown
NaviGait: Navigating Dynamically Feasible Gait Libraries using Deep Reinforcement Learning
Neil C. Janwani
Varun Madabushi
Maegan Tucker
97
0
0
13 Oct 2025
Preferential Multi-Objective Bayesian Optimization
Raul Astudillo
Kejun Li
Maegan Tucker
Chu Xin Cheng
Aaron D. Ames
Yisong Yue
199
3
0
20 Jun 2024
Dynamic Walking on Highly Underactuated Point Foot Humanoids: Closing the Loop between HZD and HLIP
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Adrian B. Ghansah
Jeeseop Kim
Kejun Li
Aaron D. Ames
239
8
0
19 Jun 2024
Data-Driven Predictive Control for Robust Exoskeleton Locomotion
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Kejun Li
Jeeseop Kim
Xiaobin Xiong
K. Hamed
Yisong Yue
Aaron D. Ames
152
5
0
23 Mar 2024
Scalable Interactive Machine Learning for Future Command and Control
Anna Madison
Ellen R. Novoseller
Vinicius G. Goecks
Benjamin T. Files
Nicholas R. Waytowich
Alfred Yu
Vernon J. Lawhern
Steven Thurman
Christopher Kelshaw
Kaleb McDowell
253
6
0
09 Feb 2024
Re-Envisioning Command and Control
Kaleb McDowell
Ellen R. Novoseller
Anna Madison
Vinicius G. Goecks
Christopher Kelshaw
254
7
0
09 Feb 2024
A Safe Preference Learning Approach for Personalization with Applications to Autonomous Vehicles
IEEE Robotics and Automation Letters (RA-L), 2023
Ruya Karagulle
Nikos Arechiga
Andrew Best
Jonathan A. DeCastro
N. Ozay
370
7
0
30 Oct 2023
Synthesizing Robust Walking Gaits via Discrete-Time Barrier Functions with Application to Multi-Contact Exoskeleton Locomotion
IEEE International Conference on Robotics and Automation (ICRA), 2023
Maegan Tucker
Kejun Li
Aaron D. Ames
273
3
0
09 Oct 2023
Humanoid Robot Co-Design: Coupling Hardware Design with Gait Generation via Hybrid Zero Dynamics
IEEE Conference on Decision and Control (CDC), 2023
Adrian B. Ghansah
Jeeseop Kim
Maegan Tucker
Aaron D. Ames
145
11
0
21 Aug 2023
Human-in-the-Loop Optimization for Deep Stimulus Encoding in Visual Prostheses
Neural Information Processing Systems (NeurIPS), 2023
Jacob Granley
T. Fauvel
M. Chalk
M. Beyeler
172
19
0
16 Jun 2023
Response Time Improves Choice Prediction and Function Estimation for Gaussian Process Models of Perception and Preferences
Michael Shvartsman
Benjamin Letham
Stephen L. Keeley
234
0
0
09 Jun 2023
Robust Bipedal Locomotion: Leveraging Saltation Matrices for Gait Optimization
IEEE International Conference on Robotics and Automation (ICRA), 2022
Maegan Tucker
Noel Csomay-Shanklin
Aaron D. Ames
256
4
0
21 Sep 2022
POLAR: Preference Optimization and Learning Algorithms for Robotics
Maegan Tucker
Kejun Li
Yisong Yue
Aaron D. Ames
278
5
0
08 Aug 2022
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
126
1
0
28 Mar 2022
Hands-free Telelocomotion of a Wheeled Humanoid toward Dynamic Mobile Manipulation via Teleoperation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Amartya Purushottam
Yeongtae Jung
Kevin Murphy
D. Baek
Joao Ramos
202
16
0
07 Mar 2022
Safety-Aware Preference-Based Learning for Safety-Critical Control
Ryan K. Cosner
Maegan Tucker
Andrew J. Taylor
Kejun Li
Tamás G. Molnár
Wyatt Ubellacker
Anil Alan
G. Orosz
Yisong Yue
Aaron D. Ames
209
27
0
15 Dec 2021
Learning Controller Gains on Bipedal Walking Robots via User Preferences
IEEE International Conference on Robotics and Automation (ICRA), 2021
Noel Csomay-Shanklin
Maegan Tucker
Min Dai
Jenna Reher
Aaron D. Ames
189
10
0
25 Feb 2021
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