Anqi Li
Anqi Li
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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
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
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
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
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
A Sequential Composition Framework for Coordinating Multirobot Behaviors
P Pierpaoli, A Li, M Srinivasan, X Cai, S Coogan, M Egerstedt
IEEE Transactions on Robotics, 2020
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
Geometric Fabrics for the Acceleration-based Design of Robotic Motion
M Xie, K Van Wyk, A Li, MA Rana, D Fox, B Boots, N Ratliff
arXiv preprint arXiv:2010.14750, 2020
Generalized nonlinear and finsler geometry for robotics
ND Ratliff, K Van Wyk, M Xie, A Li, AM Rana
arXiv preprint arXiv:2010.14745, 2020
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
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
arXiv preprint arXiv:2012.13457, 2020
Optimization Fabrics for Behavioral Design
ND Ratliff, K Van Wyk, M Xie, A Li, AM Rana
arXiv preprint arXiv:2010.15676, 2020
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
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
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
Decentralized Coordinated Motion for Robot Teams Preserving Connectivity and Avoiding Collisions
A Li
Carnegie Mellon University, 2017
Handling state uncertainty in distributed information leader selection for robotic swarms
A Li, W Luo, S Nagavalli, N Chakraborty, K Sycara
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
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