Proactive anomaly detection for robot navigation with multi-sensor fusion T Ji, AN Sivakumar, G Chowdhary, K Driggs-Campbell IEEE Robotics and Automation Letters 7 (2), 4975-4982, 2022 | 42 | 2022 |
Multi-modal anomaly detection for unstructured and uncertain environments T Ji, ST Vuppala, G Chowdhary, K Driggs-Campbell 2020 Conference on Robot Learning (CoRL) 155, 1443--1455, 2020 | 31 | 2020 |
Online monitoring for safe pedestrian-vehicle interactions P Du, Z Huang, T Liu, T Ji, K Xu, Q Gao, H Sibai, K Driggs-Campbell, ... 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 26 | 2020 |
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 | 11 | 2023 |
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance T Ji, R Dong, K Driggs-Campbell 2022 Robotics: Science and Systems (RSS), 2022 | 8 | 2022 |
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation H Chen, T Ji, S Liu, K Driggs-Campbell 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 2022 |
Examining audio communication mechanisms for supervising fleets of agricultural robots A Kamboj, T Ji, K Driggs-Campbell 2022 31st IEEE International Conference on Robot and Human Interactive …, 2022 | 3 | 2022 |
Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty T Ji, J Geng, K Driggs-Campbell 2022 IEEE 61st Conference on Decision and Control (CDC), 1782-1789, 2022 | 2* | 2022 |
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 7th Annual Conference on Robot Learning, 2023 | 1 | 2023 |
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation A Schreiber, T Ji, DL McPherson, K Driggs-Campbell 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023 | | 2023 |
Learning Rewards and Skills to Follow Commands with a Data Efficient Visual-Audio Representation P Chang, S Liu, T Ji, N Chakraborty, DL McPherson, KR Driggs-Campbell | | 2022 |