APPLR: Adaptive Planner Parameter Learning from Reinforcement. - Zifan Xu; Gauraang Dhamankar; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Bo Liu 042; Zizhao Wang; Peter Stone 001 (ICRA, 2021)

Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. - Zifan Xu; Xuesu Xiao; Garrett Warnell; Anirudh Nair; Peter Stone 001 (SSRR, 2021)

Extendable PSLC Network-Based High-Gain DC-DC Converter with Switched-Capacitor Circuit for Microbial Fuel Cell. - J. Divya Navamani; Rishabh Mrinal; Anirudh Nair; Sagar Chouhan (J. Circuits Syst. Comput., 2021)

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments. - Anirudh Nair; Fulin Jiang; Kang Hou; Zifan Xu; Shuozhe Li; Xuesu Xiao; Peter Stone 001 (SSRR, 2022)

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis. - Zifan Xu; Anirudh Nair; Xuesu Xiao; Peter Stone 001 (CoRR, 2022)

Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. - Haresh Karnan; Anirudh Nair; Xuesu Xiao; Garrett Warnell; Sören Pirk; Alexander Toshev; Justin W. Hart; Joydeep Biswas; Peter Stone 001 (IEEE Robotics Autom. Lett., 2022)

APPL: Adaptive Planner Parameter Learning. - Xuesu Xiao; Zizhao Wang; Zifan Xu; Bo Liu 042; Garrett Warnell; Gauraang Dhamankar; Anirudh Nair; Peter Stone 001 (Robotics Auton. Syst., 2022)

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation. - Zifan Xu; Bo Liu 042; Xuesu Xiao; Anirudh Nair; Peter Stone 001 (ICRA, 2023)

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings. - Anirudh Nair; Adi Banerjee; Laurent Mombaerts; Matthew Hagen; Tarik Borogovac (CoRR, 2025)