Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. - Tianchen Ji; Sri Theja Vuppala; Girish Chowdhary 001; Katherine Rose Driggs-Campbell (CoRL, 2020)

Online Monitoring for Safe Pedestrian-Vehicle Interactions. - Peter Du; Zhe Huang 010; Tianqi Liu; Tianchen Ji; Ke Xu; Qichao Gao; Hussein Sibai; Katherine Rose Driggs-Campbell; Sayan Mitra (ITSC, 2020)

Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty. - Tianchen Ji; Katherine Rose Driggs-Campbell (CoRR, 2020)

Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty. - Tianchen Ji; Junyi Geng; Katherine Driggs-Campbell (CDC, 2022)

Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. - Haonan Chen; Tianchen Ji; Shuijing Liu; Katherine Driggs-Campbell (ITSC, 2022)

Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots. - Abhi Kamboj; Tianchen Ji; Katie Driggs-Campbell (RO-MAN, 2022)

Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. - Tianchen Ji; Roy Dong; Katherine Driggs-Campbell (Robotics: Science and Systems, 2022)

Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. - Tianchen Ji; Arun Narenthiran Sivakumar; Girish Chowdhary 001; Katherine Driggs-Campbell (IEEE Robotics Autom. Lett., 2022)

Research on Waste Plastics Classification Method Based on Multi-Scale Feature Fusion. - Zhenxing Cai; Jianhong Yang; Huaiying Fang; Tianchen Ji; Yangyang Hu; Xin Wang (Sensors, 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)

An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. - Andre Schreiber; Tianchen Ji; D. Livingston McPherson; Katherine Driggs-Campbell (IROS, 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)

AMFFNet: Asymmetric Multiscale Feature Fusion Network of RGB-NIR for Solid Waste Detection. - Zhenxing Cai; Huaiying Fang; Fengfeng Jiang; Jianhong Yang; Tianchen Ji; Yangyang Hu; Xin Wang (IEEE Trans. Instrum. Meas., 2023)

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)

MSI-RGB Dual-Source Multiscale Fusion-Based Solid Waste Object Detection. - Haonan Liu; Jianhong Yang; Huaiying Fang; Tianchen Ji; Zhenxing Cai (IEEE Trans. Instrum. Meas., 2024)

A pivot joint steering mechanism for tip-everting soft growing robots. - Tianchen Ji; Zheyuan Bi; Lin Cao (Frontiers Robotics AI, 2025)

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)

Interaction-aware Conformal Prediction for Crowd Navigation. - Zhe Huang 010; Tianchen Ji; Heling Zhang; Fatemeh Cheraghi Pouria; Katherine Rose Driggs-Campbell; Roy Dong (CoRR, 2025)

Learning Coordinated Bimanual Manipulation Policies using State Diffusion and Inverse Dynamics Models. - Haonan Chen; Jiaming Xu; Lily Sheng; Tianchen Ji; Shuijing Liu; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRR, 2025)