Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. - Shuijing Liu; Peixin Chang; Weihang Liang; Neeloy Chakraborty; Katherine Driggs-Campbell (ICRA, 2021)

Learning to Navigate Intersections with Unsupervised Driver Trait Inference. - Shuijing Liu; Peixin Chang; Haonan Chen; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (ICRA, 2022)

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Weihang Liang; Junyi Geng; Katherine Rose Driggs-Campbell (CoRR, 2022)

Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. - Neeloy Chakraborty; Aamir Hasan 002; Shuijing Liu; Tianchen Ji; Weihang Liang; D. Livingston McPherson; Katherine Rose Driggs-Campbell (AAMAS, 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 (CoRL, 2023)

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Kaiwen Hong; Weihang Liang; D. Livingston McPherson; Junyi Geng; Katherine Rose Driggs-Campbell (ICRA, 2023)

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Driggs-Campbell (ITSC, 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)

Towards Co-operative Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2023)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. - Shuijing Liu; Kaiwen Hong; Neeloy Chakraborty; Katherine Driggs-Campbell (CoRR, 2024)

Cooperative Advisory Residual Policies for Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2024)

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Cathy Wu 002; Katherine Driggs-Campbell (CoRR, 2024)

Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation. - Neeloy Chakraborty; Yixiao Fang; Andre Schreiber; Tianchen Ji; Zhe Huang 010; Aganze Mihigo; Cassidy Wall; Abdulrahman Almana; Katherine Rose Driggs-Campbell (CoRR, 2024)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments. - Shuijing Liu; Haochen Xia; Fatemeh Cheraghi Pouria; Kaiwen Hong; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (CoRR, 2024)

An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving. - Tianchen Ji; Neeloy Chakraborty; Andre Schreiber; Katherine Driggs-Campbell (Int. J. Robotics Res., 2025)

Adaptive Stress Testing Black-Box LLM Planners. - Neeloy Chakraborty; John Pohovey; Melkior Ornik; Katherine Driggs-Campbell (CoRR, 2025)

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 (ACM Comput. Surv., 2025)