| 2025 | ICRA | Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation. | Neeloy Chakraborty, Yixiao Fang, Andre Schreiber, Tianchen Ji, Zhe Huang, Aganze Mihigo, Cassidy Wall, Abdulrahman Almana, Katherine Driggs-Campbell |
| 2025 | ICRA | 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 Driggs-Campbell |
| 2025 | ITiCSE | 'Too Theoretical and Nowhere Near Interesting': Using a Tool to Increase Student Motivation for Formal Methods. | Katherine Braught, Yangge Li, Katherine Driggs-Campbell, Sayan Mitra |
| 2024 | ICRA | Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints. | Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell |
| 2023 | ICRA | Occlusion-Aware Crowd Navigation Using People as Sensors. | Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell |
| 2023 | IROS | 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 |
| 2023 | ICRA | Towards Robots that Influence Humans over Long-Term Interaction. | Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey |
| 2022 | ICRA | Multi-Agent Variational Occlusion Inference Using People as Sensors. | Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer |
| 2022 | ICRA | Off Environment Evaluation Using Convex Risk Minimization. | Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell |
| 2022 | IROS | Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing. | W. Jacob Wagner, Katherine Driggs-Campbell, Ahmet Soylemezoglu |
| 2021 | ICRA | Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. | Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell |
| 2020 | IROS | Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. | Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Campbell |