Neeloy Chakraborty

According to our database, Neeloy Chakraborty authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art.

Neeloy Chakraborty, Melkior Ornik, Katherine Rose Driggs-Campbell

CoRR, 2024

2023

Towards Co-operative Congestion Mitigation.

Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell

CoRR, 2023

Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation.

Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell

CoRR, 2023

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems.

Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs Campbell

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph.

Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell

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

A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots.

Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell

Proceedings of the Conference on Robot Learning, 2023

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection.

Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction.

Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell

CoRR, 2022

Learning to Navigate Intersections with Unsupervised Driver Trait Inference.

Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning.

Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell

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