Katherine Driggs-Campbell

64 papers A* 9A 3B 1Journal 42Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Legible to Inscrutable Trajectories: (Il)legible Motion Planning Accounting for Multiple Observers. CoRR Ananya Yammanuru, Maria C. Lusardi, Nancy M. Amato, Katherine Driggs-Campbell
2026	J	`jnl`	HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments. IEEE Trans Autom. Sci. Eng. Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria, Kaiwen Hong, Neeloy Chakraborty, Zichao Hu, Joydeep Biswas, Katherine Driggs-Campbell
2026	J	`jnl`	Rethinking Gaussian Trajectory Predictors: Calibrated Uncertainty for Safe Planning. CoRR Fatemeh Cheraghi Pouria, Mahsa Golchoubian, Katherine Driggs-Campbell
2026	J	`jnl`	VTAM: Video-Tactile-Action Models for Complex Physical Interaction Beyond VLAs. CoRR Haoran Yuan, Weigang Yi, Zhenyu Zhang, Wendi Chen, Yuchen Mo, Jiashi Yin, Xinzhuo Li, Xiangyu Zeng, Chuan Wen, Cewu Lu, Katherine Driggs-Campbell, Ismini Lourentzou
2025	—	`conf`	'Too Theoretical and Nowhere Near Interesting': Using a Tool to Increase Student Motivation for Formal Methods. ITiCSE (1) Katherine Braught, Yangge Li, Katherine Driggs-Campbell, Sayan Mitra
2025	J	`jnl`	Adaptive Stress Testing Black-Box LLM Planners. CoRR Neeloy Chakraborty, John Pohovey, Melkior Ornik, Katherine Driggs-Campbell
2025	J	`jnl`	An expert ensemble for detecting anomalous scenes, interactions, and behaviors in autonomous driving. Int. J. Robotics Res. Tianchen Ji, Neeloy Chakraborty, Andre Schreiber, Katherine Driggs-Campbell
2025	J	`jnl`	Do You Know the Way? Human-in-The-Loop Understanding for Fast Traversability Estimation in Mobile Robotics. IEEE Robotics Autom. Lett. Andre Schreiber, Katherine Driggs-Campbell
2025	J	`jnl`	Hierarchical Intention Tracking with Switching Trees for Real-Time Adaptation to Dynamic Human Intentions during Collaboration. CoRR Zhe Huang, Ye-Ji Mun, Fatemeh Cheraghi Pouria, Katherine Driggs-Campbell
2025	B	`conf`	HomE: A Homogeneous Ensemble Framework for Dynamic Hand Gesture Recognition. FG Haochen Xia, Aamir Hasan, Haonan Chen, Katherine Driggs-Campbell
2025	—	`conf`	Implementation and Validation of Obstacle Avoidance Algorithms on a Self-Balancing Robot. CASE Mahshid Mansouri, Zhe Huang, Yu Chen, Katherine Driggs-Campbell, William R. Norris, João Ramos, Elizabeth T. Hsiao-Wecksler
2025	J	`jnl`	In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader. CoRR W. Jacob Wagner, Ahmet Soylemezoglu, Katherine Driggs-Campbell
2025	A*	`conf`	Learning Coordinated Bimanual Manipulation Policies Using State Diffusion and Inverse Dynamics Models. ICRA Haonan Chen, Jiaming Xu, Lily Sheng, Tianchen Ji, Shuijing Liu, Yunzhu Li, Katherine Driggs-Campbell
2025	J	`jnl`	Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems. IEEE Intell. Transp. Syst. Mag. Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell
2025	J	`jnl`	Multi-Modal Manipulation via Multi-Modal Policy Consensus. CoRR Haonan Chen, Jiaming Xu, Hongyu Chen, Kaiwen Hong, Binghao Huang, Chaoqi Liu, Jiayuan Mao, Yunzhu Li, Yilun Du, Katherine Driggs-Campbell
2025	J	`jnl`	Tactile-Based Human Intent Recognition for Robot Assistive Navigation. CoRR Shaoting Peng, Dakarai Crowder, Wenzhen Yuan, Katherine Driggs-Campbell
2025	A*	`conf`	Towards Real-Time Generation of Delay-Compensated Video Feeds for Outdoor Mobile Robot Teleoperation. ICRA Neeloy Chakraborty, Yixiao Fang, Andre Schreiber, Tianchen Ji, Zhe Huang, Aganze Mihigo, Cassidy Wall, Abdulrahman Almana, Katherine Driggs-Campbell
2025	J	`jnl`	Trust-Aware Embodied Bayesian Persuasion for Mixed-Autonomy. CoRR Shaoting Peng, Katherine Driggs-Campbell, Roy Dong
2024	J	`jnl`	A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping. CoRR Abhi Kamboj, Katherine Driggs-Campbell
2024	J	`jnl`	DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. IEEE Robotics Autom. Lett. Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell
2024	J	`jnl`	LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration - A Robot Sous-Chef Application. CoRR Zhe Huang, John Pohovey, Ananya Yammanuru, Katherine Driggs-Campbell
2024	J	`jnl`	Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. CoRR Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Cathy Wu, Katherine Driggs-Campbell
2024	A*	`conf`	Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints. ICRA Zhe Huang, Hongyu Chen, John Pohovey, Katherine Driggs-Campbell
2024	J	`jnl`	Robotics via Experiential Active Learning With Immersive Technology: A Pedagogical Framework Designed for Engineering Curricula. IEEE Access Liangjing Yang, Songjie Xiao, Tengyue Wang, Yunze Shi, Katherine Driggs-Campbell
2024	J	`jnl`	Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. CoRR Shuijing Liu, Kaiwen Hong, Neeloy Chakraborty, Katherine Driggs-Campbell
2024	J	`jnl`	Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments. CoRR Fatemeh Cheraghi Pouria, Zhe Huang, Ananya Yammanuru, Shuijing Liu, Katherine Driggs-Campbell
2024	J	`jnl`	W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. CoRR Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Driggs-Campbell
2023	A	`conf`	An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. IROS Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs-Campbell
2023	—	`conf`	Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu
2023	J	`jnl`	Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, Jiajun Wu
2023	A*	`conf`	Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs-Campbell, Payel Das, Lav R. Varshney
2023	J	`jnl`	Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics. IEEE Trans. Autom. Control. Peter Du, Katherine Driggs-Campbell, Roy Dong
2023	J	`jnl`	Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	Learning Task Skills and Goals Simultaneously from Physical Interaction. CoRR Haonan Chen, Ye-Ji Mun, Zhe Huang, Yilong Niu, Yiqing Xie, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRR Pulkit Katdare, Nan Jiang, Katherine Driggs-Campbell
2023	J	`jnl`	Neural Informed RRT* with Point-based Network Guidance for Optimal Sampling-based Path Planning. CoRR Zhe Huang, Hongyu Chen, Katherine Driggs-Campbell
2023	A*	`conf`	Occlusion-Aware Crowd Navigation Using People as Sensors. ICRA Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
2023	—	`conf`	PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs-Campbell
2023	—	`conf`	Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze. Humanoids Yu-Chen Chang, Nitish Gandi, Kazuki Shin, Ye-Ji Mun, Katherine Driggs-Campbell, Joohyung Kim
2023	A*	`conf`	Towards Robots that Influence Humans over Long-Term Interaction. ICRA Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey
2023	J	`jnl`	Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks. CoRR Zhe Huang, Ye-Ji Mun, Haonan Chen, Yiqing Xie, Yilong Niu, Xiang Li, Ninghan Zhong, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	User-Friendly Safety Monitoring System for Manufacturing Cobots. CoRR Ye-Ji Mun, Zhe Huang, Haonan Chen, Yilong Niu, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell
2022	—	`conf`	CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. ITSC Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Driggs-Campbell
2022	—	`conf`	Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. ITSC Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs-Campbell
2022	J	`jnl`	Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. CoRR Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Driggs-Campbell
2022	J	`jnl`	Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. CoRR Aamir Hasan, Pranav Sriram, Katherine Driggs-Campbell
2022	A	`conf`	Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing. IROS W. Jacob Wagner, Katherine Driggs-Campbell, Ahmet Soylemezoglu
2022	A*	`conf`	Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2022	J	`jnl`	Occlusion-Aware Crowd Navigation Using People as Sensors. CoRR Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs-Campbell
2022	A*	`conf`	Off Environment Evaluation Using Convex Risk Minimization. ICRA Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell
2022	J	`jnl`	Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. IEEE Robotics Autom. Lett. Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell
2022	J	`jnl`	Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion. CoRR Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs-Campbell
2022	—	`conf`	Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty. CDC Tianchen Ji, Junyi Geng, Katherine Driggs-Campbell
2022	J	`jnl`	Towards Robots that Influence Humans over Long-Term Interaction. CoRR Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs-Campbell, Dylan P. Losey
2022	—	`conf`	Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. Robotics: Science and Systems Tianchen Ji, Roy Dong, Katherine Driggs-Campbell
2022	J	`jnl`	Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. CoRR Tianchen Ji, Roy Dong, Katherine Driggs-Campbell
2021	J	`jnl`	AutoPreview: A Framework for Autopilot Behavior Understanding. CoRR Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs-Campbell
2021	A*	`conf`	Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. ICRA Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell
2021	J	`jnl`	Learning to Navigate Intersections with Unsupervised Driver Trait Inference. CoRR Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs-Campbell
2021	J	`jnl`	Multi-Agent Variational Occlusion Inference Using People as Sensors. CoRR Masha Itkina, Ye-Ji Mun, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2021	J	`jnl`	Off Environment Evaluation Using Convex Risk Minimization. CoRR Pulkit Katdare, Shuijing Liu, Katherine Driggs-Campbell
2021	J	`jnl`	Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. CoRR Peixin Chang, Shuijing Liu, Katherine Driggs-Campbell
2020	J	`jnl`	Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. CoRR Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs-Campbell
2020	A	`conf`	Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. IROS Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs-Campbell