Rishi Veerapaneni

According to our database, Rishi Veerapaneni authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding.

He Jiang, Yutong Wang, Rishi Veerapaneni, Tanishq Duhan, Guillaume Sartoretti, Jiaoyang Li

CoRR, 2024

ANAVI: Audio Noise Awareness using Visuals of Indoor environments for NAVIgation.

Vidhi Jain, Rishi Veerapaneni, Yonatan Bisk

CoRR, 2024

Windowed MAPF with Completeness Guarantees.

Rishi Veerapaneni, Muhammad Suhail Saleem, Jiaoyang Li, Maxim Likhachev

CoRR, 2024

A POMDP-based hierarchical planning framework for manipulation under pose uncertainty.

Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev

CoRR, 2024

Work Smarter Not Harder: Simple Imitation Learning with CS-PIBT Outperforms Large Scale Imitation Learning for MAPF.

Rishi Veerapaneni, Arthur Jakobsson, Kevin Ren, Samuel Kim, Jiaoyang Li, Maxim Likhachev

CoRR, 2024

A preprocessing-based planning framework for utilizing contacts in high-precision insertion tasks.

Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev

CoRR, 2024

From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS.

Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev

CoRR, 2024

From Space-Time to Space-Order: Directly Planning a Temporal Planning Graph by Redefining CBS (Extended Abstract).

Yu Wu, Rishi Veerapaneni, Jiaoyang Li, Maxim Likhachev

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

A Data Efficient Framework for Learning Local Heuristics.

Rishi Veerapaneni, Jonathan Park, Muhammad Suhail Saleem, Maxim Likhachev

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Unconstraining Multi-Robot Manipulation: Enabling Arbitrary Constraints in ECBS with Bounded Sub-Optimality.

Yorai Shaoul, Rishi Veerapaneni, Maxim Likhachev, Jiaoyang Li

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

Scaling Lifelong Multi-Agent Path Finding to More Realistic Settings: Research Challenges and Opportunities.

Jiang He, Yulun Zhang, Rishi Veerapaneni, Jiaoyang Li

Proceedings of the Seventeenth International Symposium on Combinatorial Search, 2024

MAPF in 3D Warehouses: Dataset and Analysis.

Qian Wang, Rishi Veerapaneni, Yu Wu, Jiaoyang Li, Maxim Likhachev

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Improving Learnt Local MAPF Policies with Heuristic Search.

Rishi Veerapaneni, Qian Wang, Kevin Ren, Arthur Jakobsson, Jiaoyang Li, Maxim Likhachev

Proceedings of the Thirty-Fourth International Conference on Automated Planning and Scheduling, 2024

Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution.

Yifan Su, Rishi Veerapaneni, Jiaoyang Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Preprocessing-Based Planning for Utilizing Contacts in Semi-Structured High-Precision Insertion Tasks.

Muhammad Suhail Saleem, Rishi Veerapaneni, Maxim Likhachev

IEEE Robotics Autom. Lett., November, 2023

Learning Local Heuristics for Search-Based Navigation Planning.

Rishi Veerapaneni, Muhammad Suhail Saleem, Maxim Likhachev

Proceedings of the Thirty-Third International Conference on Automated Planning and Scheduling, 2023

Effective Integration of Weighted Cost-to-Go and Conflict Heuristic within Suboptimal CBS.

Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Non-Blocking Batch A* (Technical Report).

Rishi Veerapaneni, Maxim Likhachev

CoRR, 2022

Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS.

Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev

CoRR, 2022

Effectively Incorporating Weighted Cost-to-go Heuristic in Suboptimal CBS (Extended Abstract).

Rishi Veerapaneni, Tushar Kusnur, Maxim Likhachev

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

Minimizing Coordination in Multi-Agent Path Finding with Dynamic Execution.

Aidan Wagner, Rishi Veerapaneni, Maxim Likhachev

Proceedings of the Eighteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2022

2019

Entity Abstraction in Visual Model-Based Reinforcement Learning.

Rishi Veerapaneni, John D. Co-Reyes, Michael Chang, Michael Janner, Chelsea Finn, Jiajun Wu, Joshua B. Tenenbaum, Sergey Levine

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

2017

Adaptive Estimation of Active Contour Parameters Using Convolutional Neural Networks and Texture Analysis.

Assaf Hoogi, Arjun Subramaniam, Rishi Veerapaneni, Daniel L. Rubin

IEEE Trans. Medical Imaging, 2017