Anqi Li

According to our database, Anqi Li authored at least 28 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2025

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation.

Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Raymond Yu, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

CoRR, February, 2025

Cosmos World Foundation Model Platform for Physical AI.

Niket Agarwal, Arslan Ali, Maciej Bala, Yogesh Balaji, Erik Barker, Tiffany Cai, Prithvijit Chattopadhyay, Yongxin Chen, Yin Cui, Yifan Ding, Daniel Dworakowski, Jiaojiao Fan, Michele Fenzi, Francesco Ferroni, Sanja Fidler, Dieter Fox, Songwei Ge, Yunhao Ge, Jinwei Gu, Siddharth Gururani, Ethan He, Jiahui Huang, Jacob Samuel Huffman, Pooya Jannaty, Jingyi Jin, Seung Wook Kim, Gergely Klár, Grace Lam, Shiyi Lan, Laura Leal-Taixé, Anqi Li, Zhaoshuo Li, Chen-Hsuan Lin, Tsung-Yi Lin, Huan Ling, Ming-Yu Liu, Xian Liu, Alice Luo, Qianli Ma, Hanzi Mao, Kaichun Mo, Arsalan Mousavian, Seungjun Nah, Sriharsha Niverty, David Page, Despoina Paschalidou, Zeeshan Patel, Lindsey Pavao, Morteza Ramezanali, Fitsum Reda, Xiaowei Ren, Vasanth Rao Naik Sabavat, Ed Schmerling, Stella Shi, Bartosz Stefaniak, Shitao Tang, Lyne Tchapmi, Przemek Tredak, Wei-Cheng Tseng, Jibin Varghese, Hao Wang, Haoxiang Wang, Heng Wang, Ting-Chun Wang, Fangyin Wei, Xinyue Wei, Jay Zhangjie Wu, Jiashu Xu, Wei Yang, Lin Yen-Chen, Xiaohui Zeng, Yu Zeng, Jing Zhang, Qinsheng Zhang, Yuxuan Zhang, Qingqing Zhao, Artur Zólkowski

CoRR, January, 2025

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation.

Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Exploiting Structure in Learning: A Path Toward Building Safe and Adaptive Robots

Anqi Li

PhD thesis, 2024

Model Predictive Control for Aggressive Driving Over Uneven Terrain.

Tyler Han, Alex Liu, Anqi Li, Alexander Spitzer, Guanya Shi, Byron Boots

Proceedings of the Robotics: Science and Systems XX, 2024

BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images.

Sandesh Adhikary, Anqi Li, Byron Boots

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Composable energy policies for reactive motion generation and reinforcement learning.

Julen Urain, Anqi Li, Puze Liu, Carlo D'Eramo, Jan Peters

Int. J. Robotics Res., September, 2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.

Xiangyun Meng, Nathan Hatch, Alexander Lambert, Anqi Li, Nolan Wagener, Matthew Schmittle, Joonho Lee, Wentao Yuan, Zoey Qiuyu Chen, Samuel Deng, Greg Okopal, Dieter Fox, Byron Boots, Amirreza Shaban

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Survival Instinct in Offline Reinforcement Learning.

Anqi Li, Dipendra Misra, Andrey Kolobov, Ching-An Cheng

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations.

Anqi Li, Byron Boots, Ching-An Cheng

Proceedings of the International Conference on Machine Learning, 2023

2022

Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior.

Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff

IEEE Robotics Autom. Lett., 2022

2021

A Sequential Composition Framework for Coordinating Multirobot Behaviors.

Pietro Pierpaoli, Anqi Li, Mohit Srinivasan, Xiaoyi Cai, Samuel Coogan, Magnus Egerstedt

IEEE Trans. Robotics, 2021

RMP2: A Structured Composable Policy Class for Robot Learning.

Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees.

Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Generalized Nonlinear and Finsler Geometry for Robotics.

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Geometric Fabrics for the Acceleration-based Design of Robotic Motion.

Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan D. Ratliff

CoRR, 2020

Optimization Fabrics.

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana

CoRR, 2020

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.

Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

2019

Inferring and Learning Multi-Robot Policies by Observing an Expert.

Pietro Pierpaoli, Harish Ravichandar, Nicholas R. Waytowich, Anqi Li, Derrik E. Asher, Magnus Egerstedt

CoRR, 2019

A Sequential Composition Framework for Coordinating Multi-Robot Behaviors.

Pietro Pierpaoli, Anqi Li, Mohit Srinivasan, Xiaoyi Cai, Samuel Coogan, Magnus Egerstedt

CoRR, 2019

Multi-objective Policy Generation for Multi-robot Systems Using Riemannian Motion Policies.

Anqi Li, Mustafa Mukadam, Magnus Egerstedt, Byron Boots

Proceedings of the Robotics Research, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.

Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks.

Anqi Li, Ching-An Cheng, Byron Boots, Magnus Egerstedt

Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On the Trade-Off Between Communication and Execution Overhead for Control of Multi-Agent Systems.

Anqi Li, Magnus Egerstedt

Proceedings of the 2019 American Control Conference, 2019

2018

Formally Correct Composition of Coordinated Behaviors Using Control Barrier Certificates.

Anqi Li, Li Wang, Pietro Pierpaoli, Magnus Egerstedt

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Decentralized coordinated motion for a large team of robots preserving connectivity and avoiding collisions.

Anqi Li, Wenhao Luo, Sasanka Nagavalli, Katia P. Sycara

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

A computational model based on human performance for fluid management in critical care.

Anqi Li, Michael Lewis, Christian Lebiere, Katia P. Sycara, Shehzaman Salim Khatib, Yuqing Tang, Matthew Siedsma, Don Morrison

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Handling state uncertainty in distributed information leader selection for robotic swarms.

Anqi Li, Wenhao Luo, Sasanka Nagavalli, Nilanjan Chakraborty, Katia P. Sycara

Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016