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Anqi Li
Anqi Li
University of Washington
Bestätigte E-Mail-Adresse bei cs.washington.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Formally correct composition of coordinated behaviors using control barrier certificates
A Li, L Wang, P Pierpaoli, M Egerstedt
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
592018
Euclideanizing flows: Diffeomorphic reduction for learning stable dynamical systems
MA Rana, A Li, D Fox, B Boots, F Ramos, N Ratliff
Learning for Dynamics and Control, 630-639, 2020
302020
Learning reactive motion policies in multiple task spaces from human demonstrations
MA Rana, A Li, H Ravichandar, M Mukadam, S Chernova, D Fox, B Boots, ...
Conference on Robot Learning, 1457-1468, 2020
232020
A Sequential Composition Framework for Coordinating Multirobot Behaviors
P Pierpaoli, A Li, M Srinivasan, X Cai, S Coogan, M Egerstedt
IEEE Transactions on Robotics 37 (3), 864-876, 2020
132020
Optimization fabrics
ND Ratliff, K Van Wyk, M Xie, A Li, MA Rana
arXiv preprint arXiv:2008.02399, 2020
112020
Stable, concurrent controller composition for multi-objective robotic tasks
A Li, CA Cheng, B Boots, M Egerstedt
2019 IEEE 58th Conference on Decision and Control (CDC), 1144-1151, 2019
112019
Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies
A Li, M Mukadam, M Egerstedt, B Boots
arXiv preprint arXiv:1902.05177, 2019
112019
Generalized nonlinear and finsler geometry for robotics
ND Ratliff, K Van Wyk, M Xie, A Li, MA Rana
2021 IEEE International Conference on Robotics and Automation (ICRA), 10206 …, 2021
102021
Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
J Urain, A Li, P Liu, C D'Eramo, J Peters
arXiv preprint arXiv:2105.04962, 2021
102021
Geometric fabrics: Generalizing classical mechanics to capture the physics of behavior
K Van Wyk, M Xie, A Li, MA Rana, B Babich, B Peele, Q Wan, I Akinola, ...
IEEE Robotics and Automation Letters 7 (2), 3202-3209, 2022
92022
Geometric Fabrics for the Acceleration-based Design of Robotic Motion
M Xie, K Van Wyk, A Li, MA Rana, Q Wan, D Fox, B Boots, N Ratliff
arXiv preprint arXiv:2010.14750, 2020
92020
RMP2: A Structured Composable Policy Class for Robot Learning
A Li, CA Cheng, MA Rana, M Xie, K Van Wyk, N Ratliff, B Boots
arXiv preprint arXiv:2103.05922, 2021
72021
Decentralized coordinated motion for a large team of robots preserving connectivity and avoiding collisions
A Li, W Luo, S Nagavalli, K Sycara
2017 IEEE International Conference on Robotics and Automation (ICRA), 1505-1511, 2017
72017
Inferring and Learning Multi-Robot Policies by Observing an Expert
P Pierpaoli, H Ravichandar, N Waytowich, A Li, D Asher, M Egerstedt
arXiv preprint arXiv:1909.07887, 2019
62019
Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees
MA Rana, A Li, D Fox, S Chernova, B Boots, N Ratliff
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
32021
A computational model based on human performance for fluid management in critical care
A Li, M Lewis, C Lebiere, K Sycara, SS Khatib, Y Tang, M Siedsma, ...
2016 IEEE Symposium Series on Computational Intelligence (SSCI), 1-6, 2016
22016
Imitation learning via simultaneous optimization of policies and auxiliary trajectories
M Xie, A Li, K Van Wyk, F Dellaert, B Boots, N Ratliff
arXiv preprint arXiv:2105.03019, 2021
12021
CoDE: Collocation for Demonstration Encoding
M Xie, A Li, K Van Wyk, F Dellaert, B Boots, N Ratliff
arXiv preprint arXiv:2105.03019, 2021
2021
On the Trade-Off Between Communication and Execution Overhead for Control of Multi-Agent Systems
A Li, M Egerstedt
2019 American Control Conference (ACC), 79-85, 2019
2019
Decentralized Coordinated Motion for Robot Teams Preserving Connectivity and Avoiding Collisions
A Li
Carnegie Mellon University, 2017
2017
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