Handling state uncertainty in distributed information leader selection for robotic swarms. - Anqi Li 001; Wenhao Luo; Sasanka Nagavalli; Nilanjan Chakraborty; Katia P. Sycara (SMC, 2016)

A computational model based on human performance for fluid management in critical care. - Anqi Li 001; Michael Lewis 001; Christian Lebiere; Katia P. Sycara; Shehzaman Salim Khatib; Yuqing Tang 001; Matthew Siedsma; Don Morrison (SSCI, 2016)

Decentralized coordinated motion for a large team of robots preserving connectivity and avoiding collisions. - Anqi Li 001; Wenhao Luo; Sasanka Nagavalli; Katia P. Sycara (ICRA, 2017)

Formally Correct Composition of Coordinated Behaviors Using Control Barrier Certificates. - Anqi Li 001; Li Wang 050; Pietro Pierpaoli; Magnus Egerstedt (IROS, 2018)

On the Trade-Off Between Communication and Execution Overhead for Control of Multi-Agent Systems. - Anqi Li 001; Magnus Egerstedt (ACC, 2019)

Stable, Concurrent Controller Composition for Multi-Objective Robotic Tasks. - Anqi Li 001; Ching-An Cheng; Byron Boots; Magnus Egerstedt (CDC, 2019)

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations. - Muhammad Asif Rana; Anqi Li 001; Harish Ravichandar; Mustafa Mukadam; Sonia Chernova; Dieter Fox; Byron Boots; Nathan D. Ratliff (CoRL, 2019)

Multi-objective Policy Generation for Multi-robot Systems Using Riemannian Motion Policies. - Anqi Li 001; Mustafa Mukadam; Magnus Egerstedt; Byron Boots (ISRR, 2019)

A Sequential Composition Framework for Coordinating Multi-Robot Behaviors. - Pietro Pierpaoli; Anqi Li 001; Mohit Srinivasan; Xiaoyi Cai; Samuel Coogan 001; Magnus Egerstedt (CoRR, 2019)

Inferring and Learning Multi-Robot Policies by Observing an Expert. - Pietro Pierpaoli; Harish Ravichandar; Nicholas R. Waytowich; Anqi Li 001; Derrik E. Asher; Magnus Egerstedt (CoRR, 2019)

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems. - Muhammad Asif Rana; Anqi Li 001; Dieter Fox; Byron Boots; Fabio Ramos 001; Nathan D. Ratliff (L4DC, 2020)

Optimization Fabrics. - Nathan D. Ratliff; Karl Van Wyk; Mandy Xie; Anqi Li 001; Muhammad Asif Rana (CoRR, 2020)

Geometric Fabrics for the Acceleration-based Design of Robotic Motion. - Mandy Xie; Karl Van Wyk; Anqi Li 001; Muhammad Asif Rana; Dieter Fox; Byron Boots; Nathan D. Ratliff (CoRR, 2020)

Generalized Nonlinear and Finsler Geometry for Robotics. - Nathan D. Ratliff; Karl Van Wyk; Mandy Xie; Anqi Li 001; Muhammad Asif Rana (ICRA, 2021)

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees. - Muhammad Asif Rana; Anqi Li 001; Dieter Fox; Sonia Chernova; Byron Boots; Nathan D. Ratliff (IROS, 2021)

RMP2: A Structured Composable Policy Class for Robot Learning. - Anqi Li 001; Ching-An Cheng; Muhammad Asif Rana; Man Xie; Karl Van Wyk; Nathan D. Ratliff; Byron Boots (Robotics: Science and Systems, 2021)

A Sequential Composition Framework for Coordinating Multirobot Behaviors. - Pietro Pierpaoli; Anqi Li 001; Mohit Srinivasan; Xiaoyi Cai; Samuel Coogan 001; Magnus Egerstedt (IEEE Trans. Robotics, 2021)

Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior. - Karl Van Wyk; Mandy Xie; Anqi Li 001; 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)

MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations. - Anqi Li 001; Byron Boots; Ching-An Cheng (ICML, 2023)

Survival Instinct in Offline Reinforcement Learning. - Anqi Li 001; Dipendra Misra; Andrey Kolobov; Ching-An Cheng (NeurIPS, 2023)

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation. - Xiangyun Meng; Nathan Hatch; Alexander Lambert; Anqi Li 001; Nolan Wagener; Matthew Schmittle; Joonho Lee; Wentao Yuan; Zoey Qiuyu Chen; Samuel Deng; Greg Okopal; Dieter Fox; et al. (Robotics: Science and Systems, 2023)

Composable energy policies for reactive motion generation and reinforcement learning. - Julen Urain; Anqi Li 001; Puze Liu; Carlo D'Eramo; Jan Peters 001 (Int. J. Robotics Res., 2023)

BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images. - Sandesh Adhikary; Anqi Li 001; Byron Boots (ICML, 2024)

Model Predictive Control for Aggressive Driving Over Uneven Terrain. - Tyler Han; Alex Liu; Anqi Li 001; Alexander Spitzer; Guanya Shi; Byron Boots (Robotics: Science and Systems, 2024)

Exploiting Structure in Learning: A Path Toward Building Safe and Adaptive Robots - Anqi Li 001 (2024)

HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation. - Yi Li 038; Yuquan Deng; Jesse Zhang; Joel Jang; Marius Memmel; Caelan Reed Garrett; Fabio Ramos 001; Dieter Fox; Anqi Li 001; Abhishek Gupta 004; Ankit Goyal 001 (ICLR, 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; et al. (CoRR, 2025)

HAMSTER: Hierarchical Action Models For Open-World Robot Manipulation. - Yi Li 038; Yuquan Deng; Jesse Zhang; Joel Jang; Marius Memmel; Raymond Yu; Caelan Reed Garrett; Fabio Ramos 001; Dieter Fox; Anqi Li 001; Abhishek Gupta 004; Ankit Goyal 001 (CoRR, 2025)