| Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning S Liu, P Chang, W Liang, N Chakraborty, K Driggs-Campbell 2021 IEEE International Conference on Robotics and Automation (ICRA), 3517-3524, 2021 | 102 | 2021 |
| Intention aware robot crowd navigation with attention-based interaction graph S Liu, P Chang, Z Huang, N Chakraborty, K Hong, W Liang, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 12015 …, 2023 | 48 | 2023 |
| Socially aware robot crowd navigation with interaction graphs and human trajectory prediction S Liu, P Chang, Z Huang, N Chakraborty, W Liang, J Geng, ... arXiv preprint arXiv:2203.01821, 2022 | 15 | 2022 |
| Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection N Chakraborty, A Hasan, S Liu, T Ji, W Liang, DL McPherson, ... arXiv preprint arXiv:2301.03634, 2023 | 12 | 2023 |
| Learning to Navigate Intersections with Unsupervised Driver Trait Inference S Liu, P Chang, H Chen, N Chakraborty, K Driggs-Campbell 2022 International Conference on Robotics and Automation (ICRA), 3576-3582, 2022 | 10 | 2022 |
| PeRP: Personalized residual policies for congestion mitigation through co-operative advisory systems A Hasan, N Chakraborty, H Chen, JH Cho, C Wu, K Driggs-Campbell 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 3 | 2023 |
| Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art N Chakraborty, M Ornik, K Driggs-Campbell arXiv preprint arXiv:2403.16527, 2024 | 2 | 2024 |
| Towards Co-operative Congestion Mitigation A Hasan, N Chakraborty, C Wu, K Driggs-Campbell arXiv preprint arXiv:2302.09140, 2023 | 2 | 2023 |
| A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots P Chang, S Liu, T Ji, N Chakraborty, K Hong, K Driggs-Campbell arXiv preprint arXiv:2301.09749, 2023 | 1 | 2023 |
| Cooperative Advisory Residual Policies for Congestion Mitigation A Hasan, N Chakraborty, H Chen, JH Cho, C Wu, K Driggs-Campbell arXiv preprint arXiv:2407.00553, 2024 | | 2024 |
| Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study A Hasan, N Chakraborty, H Chen, C Wu, K Driggs-Campbell arXiv preprint arXiv:2407.13775, 2024 | | 2024 |
| Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation S Liu, K Hong, N Chakraborty, K Driggs-Campbell arXiv preprint arXiv:2405.16830, 2024 | | 2024 |
| Detecting the unpredictable: Advanced trajectory and camera-based anomaly detection methods for vehicles N Chakraborty | | 2023 |
| Hierarchical self-imitation learning in single-agent sparse reward environments N Chakraborty | | 2021 |
| BEAST: Building an Embodied Action-prediction System with Trajectory data N Chakraborty, R Sidhu, B Abdullai, H Chen, N Ravi, A Ankur, D Prasad, ... | | |
Katherine Driggs-CampbellAssistant Professor, University of Illinois at Urbana-Champaign在 illinois.edu 的电子邮件经过验证
