Anirudh Nair

According to our database, Anirudh Nair authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

Tournament of Prompts: Evolving LLM Instructions Through Structured Debates and Elo Ratings.

Anirudh Nair, Adi Banerjee, Laurent Mombaerts, Matthew Hagen, Tarik Borogovac

CoRR, June, 2025

2023

Benchmarking Reinforcement Learning Techniques for Autonomous Navigation.

Zifan Xu, Bo Liu, Xuesu Xiao, Anirudh Nair, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

APPL: Adaptive Planner Parameter Learning.

Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone

Robotics Auton. Syst., 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

IEEE Robotics Autom. Lett., 2022

Learning Real-world Autonomous Navigation by Self-Supervised Environment Synthesis.

Zifan Xu, Anirudh Nair, Xuesu Xiao, Peter Stone

CoRR, 2022

DynaBARN: Benchmarking Metric Ground Navigation in Dynamic Environments.

Anirudh Nair, Fulin Jiang, Kang Hou, Zifan Xu, Shuozhe Li, Xuesu Xiao, Peter Stone

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

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

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

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2021

APPLR: Adaptive Planner Parameter Learning from Reinforcement.

Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone

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