Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. - Dorsa Sadigh; Katherine Rose Driggs-Campbell; Alberto Puggelli; Wenchao Li 001; Victor Shia; Ruzena Bajcsy; Alberto L. Sangiovanni-Vincentelli; S. Shankar Sastry; Sanjit A. Seshia (AAAI Spring Symposia, 2014)

Decisions for autonomous vehicles: integrating sensors, communication, and control. - Katherine Rose Driggs-Campbell; Victor Shia; Ruzena Bajcsy (HiCoNS, 2014)

User interface design and verification for semi-autonomous driving. - Dorsa Sadigh; Katherine Rose Driggs-Campbell; Ruzena Bajcsy; S. Shankar Sastry; Sanjit A. Seshia (HiCoNS, 2014)

Experimental Design for Human-in-the-Loop Driving Simulations. - Katherine Rose Driggs-Campbell; Guillaume Bellegarda; Victor Shia; S. Shankar Sastry; Ruzena Bajcsy (CoRR, 2014)

Semiautonomous Vehicular Control Using Driver Modeling. - Victor A. Shia; Yiqi Gao; Ramanarayan Vasudevan; Katherine Rose Driggs-Campbell; Theresa Lin; Francesco Borrelli; Ruzena Bajcsy (IEEE Trans. Intell. Transp. Syst., 2014)

Improved driver modeling for human-in-the-loop vehicular control. - Katherine Rose Driggs-Campbell; Victor Shia; Ruzena Bajcsy (ICRA, 2015)

Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. - Chi-Pang Lam; Allen Y. Yang; Katherine Rose Driggs-Campbell; Ruzena Bajcsy; S. Shankar Sastry (IROS, 2015)

Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. - Katherine Rose Driggs-Campbell; Ruzena Bajcsy (ITSC, 2015)

Communicating intent on the road through human-inspired control schemes. - Katherine Rose Driggs-Campbell; Ruzena Bajcsy (IROS, 2016)

Towards trustworthy automation: User interfaces that convey internal and external awareness. - Tara Rezvani; Katherine Rose Driggs-Campbell; Dorsa Sadigh; S. Shankar Sastry; Sanjit A. Seshia; Ruzena Bajcsy (ITSC, 2016)

Comparing datasets for generalizing models of driver intent in dynamic environments. - Katherine Rose Driggs-Campbell; Ruzena Bajcsy (Intelligent Vehicles Symposium, 2016)

Data-driven reachability analysis for human-in-the-loop systems. - Vijay Govindarajan; Katherine Rose Driggs-Campbell; Ruzena Bajcsy (CDC, 2017)

Optimizing interaction between humans and autonomy via information constraints on interface design. - Tara Rezvani; Katherine Rose Driggs-Campbell; Ruzena Bajcsy (ITSC, 2017)

Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. - Katherine Rose Driggs-Campbell; Roy Dong; S. Shankar Sastry; Ruzena Bajcsy (CoRR, 2017)

DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2017)

Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers. - Katherine Rose Driggs-Campbell; Vijay Govindarajan; Ruzena Bajcsy (IEEE Trans. Intell. Transp. Syst., 2017)

Tools for Trustworthy Autonomy: Robust Predictions, Intuitive Control, and Optimized Interaction. - Katherine Rose Driggs-Campbell (2017)

People as Sensors: Imputing Maps from Human Actions. - Oladapo Afolabi; Katherine Rose Driggs-Campbell; Roy Dong; Mykel J. Kochenderfer; S. Shankar Sastry (IROS, 2018)

Affective Driver State Monitoring for Personalized, Adaptive ADAS. - Vijay Govindarajan; Katherine Rose Driggs-Campbell; Ruzena Bajcsy (ITSC, 2018)

Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (Intelligent Vehicles Symposium, 2018)

Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. - Katherine Rose Driggs-Campbell; Roy Dong; Ruzena Bajcsy (IEEE Trans. Intell. Veh., 2018)

Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. - Raunak P. Bhattacharyya; Derek J. Phillips; Changliu Liu; Jayesh K. Gupta; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2019)

HG-DAgger: Interactive Imitation Learning with Human Experts. - Michael Kelly; Chelsea Sidrane; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2019)

Monte Carlo Tree Search for Policy Optimization. - Xiaobai Ma; Katherine Rose Driggs-Campbell; Zongzhang Zhang; Mykel J. Kochenderfer (IJCAI, 2019)

EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. - Kunal Menda; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (IROS, 2019)

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. - Anthony Corso 001; Peter Du; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ITSC, 2019)

Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. - Masha Itkina; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (ITSC, 2019)

Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. - Anthony Corso 001; Peter Du; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2019)

Online monitoring for safe pedestrian-vehicle interactions. - Peter Du; Zhe Huang 010; Tianqi Liu; Ke Xu; Qichao Gao; Hussein Sibai; Katherine Rose Driggs-Campbell; Sayan Mitra 001 (CoRR, 2019)

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

Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. - Peixin Chang; Shuijing Liu; Haonan Chen; Katherine Driggs-Campbell (IROS, 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 001 (ITSC, 2020)

Modeling and Prediction of Human Driver Behavior: A Survey. - Kyle Brown; Katherine Rose Driggs-Campbell; Mykel J. Kochenderfer (CoRR, 2020)

To Explain or Not to Explain: A Study on the Necessity of Explanations for Autonomous Vehicles. - Yuan Shen 001; Shanduojiao Jiang; Yanlin Chen; Eileen Yang; Xilun Jin; Yuliang Fan; Katie Driggs-Campbell (CoRR, 2020)

Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction. - Zhe Huang 010; Aamir Hasan 002; Katherine Rose Driggs-Campbell (CoRR, 2020)

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

Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. - Carl-Johan Hoel; Katherine Rose Driggs-Campbell; Krister Wolff; Leo Laine; Mykel J. Kochenderfer (IEEE Trans. Intell. Veh., 2020)

AutoPreview: A Framework for Autopilot Behavior Understanding. - Yuan Shen 001; Niviru Wijayaratne; Peter Du; Shanduojiao Jiang; Katherine Rose Driggs-Campbell (CHI Extended Abstracts, 2021)

Adaptive Failure Search Using Critical States from Domain Experts. - Peter Du; Katherine Rose Driggs-Campbell (ICRA, 2021)

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. - Shuijing Liu; Peixin Chang; Weihang Liang; Neeloy Chakraborty; Katherine Driggs-Campbell (ICRA, 2021)

A Moment-Based Safety Analysis for Stochastic Dynamical Systems. - Peter Du; Katherine Rose Driggs-Campbell; Roy Dong (CoRR, 2021)

Building Mental Models through Preview of Autopilot Behaviors. - Yuan Shen 001; Niviru Wijayaratne; Katherine Rose Driggs-Campbell (CoRR, 2021)

Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction. - Zhe Huang 010; Ruohua Li; Kazuki Shin; Katherine Rose Driggs-Campbell (CoRR, 2021)

Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. - Peixin Chang; Shuijing Liu; Katherine Driggs-Campbell (CoRR, 2021)

Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM. - Zhe Huang 010; Aamir Hasan 002; Kazuki Shin; Ruohua Li; Katherine Rose Driggs-Campbell (IEEE Robotics Autom. Lett., 2021)

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

Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. - Aamir Hasan 002; Pranav Sriram; Katherine Rose Driggs-Campbell (ICRA, 2022)

Multi-Agent Variational Occlusion Inference Using People as Sensors. - Masha Itkina; Ye-Ji Mun; Katherine Driggs-Campbell; Mykel J. Kochenderfer (ICRA, 2022)

Off Environment Evaluation Using Convex Risk Minimization. - Pulkit Katdare; Shuijing Liu; Katherine Driggs-Campbell (ICRA, 2022)

Learning to Navigate Intersections with Unsupervised Driver Trait Inference. - Shuijing Liu; Peixin Chang; Haonan Chen; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (ICRA, 2022)

Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing. - W. Jacob Wagner; Katherine Driggs-Campbell; Ahmet Soylemezoglu (IROS, 2022)

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

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. - Yuan Shen 001; Niviru Wijayaratne; Pranav Sriram; Aamir Hasan 002; Peter Du; 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)

Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Weihang Liang; Junyi Geng; Katherine Rose Driggs-Campbell (CoRR, 2022)

Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration. - Tan Chen 001; Zhe Huang 010; James Motes; Junyi Geng; Quang Minh Ta; Holly Dinkel; Hameed Abdul-Rashid; Jessica Myers; Ye-Ji Mun; Wei-che Lin; Yuan-yung Huang; Sizhe Liu; et al. (CoRR, 2022)

Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration. - Zhe Huang 010; Ye-Ji Mun; Xiang Li; Yiqing Xie; Ninghan Zhong; Weihang Liang; Junyi Geng; Tan Chen 001; Katherine Rose Driggs-Campbell (CoRR, 2022)

CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material). - Yuan Shen 001; Niviru Wijayaratne; Pranav Sriram; Aamir Hasan 002; Peter Du; Katherine Rose Driggs-Campbell (CoRR, 2022)

Coordinated Science Laboratory 70th Anniversary Symposium: The Future of Computing. - Klara Nahrstedt; Naresh R. Shanbhag; Vikram S. Adve; Nancy M. Amato; Romit Roy Choudhury; Carl A. Gunter; Nam Sung Kim; Olgica Milenkovic; Sayan Mitra 001; Lav R. Varshney; Yurii Vlasov; Sarita V. Adve; et al. (CoRR, 2022)

Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction. - Zhe Huang 010; Ruohua Li; Kazuki Shin; Katherine Rose Driggs-Campbell (IEEE Robotics Autom. Lett., 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)

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)

Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. - Haonan Chen; Yilong Niu; Kaiwen Hong; Shuijing Liu; Yixuan Wang 003; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRL, 2023)

Marginalized Importance Sampling for Off-Environment Policy Evaluation. - Pulkit Katdare; Nan Jiang; Katherine Rose Driggs-Campbell (CoRL, 2023)

Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze. - Yu-Chen Chang; Nitish Gandi; Kazuki Shin; Ye-Ji Mun; Katherine Driggs-Campbell; Joohyung Kim (Humanoids, 2023)

Learning Visual-Audio Representations for Voice-Controlled Robots. - Peixin Chang; Shuijing Liu; D. Livingston McPherson; Katherine Rose Driggs-Campbell (ICRA, 2023)

Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. - Zhe Huang 010; Ye-Ji Mun; Xiang Li; Yiqing Xie; Ninghan Zhong; Weihang Liang; Junyi Geng; Tan Chen 001; Katherine Rose Driggs-Campbell (ICRA, 2023)

Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. - Shuijing Liu; Peixin Chang; Zhe Huang 010; Neeloy Chakraborty; Kaiwen Hong; Weihang Liang; D. Livingston McPherson; Junyi Geng; Katherine Rose Driggs-Campbell (ICRA, 2023)

Occlusion-Aware Crowd Navigation Using People as Sensors. - Ye-Ji Mun; Masha Itkina; Shuijing Liu; Katherine Driggs-Campbell (ICRA, 2023)

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 (ICRA, 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)

PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Driggs-Campbell (ITSC, 2023)

Efficient Equivariant Transfer Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Driggs-Campbell; Payel Das; Lav R. Varshney (NeurIPS, 2023)

Dynamic-Resolution Model Learning for Object Pile Manipulation. - Yixuan Wang 003; Yunzhu Li; Katherine Driggs-Campbell; Li Fei-Fei 001; Jiajun Wu 001 (Robotics: Science and Systems, 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)

Towards Co-operative Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2023)

Designing a Wayfinding Robot for People with Visual Impairments. - Shuijing Liu; Aamir Hasan 002; Kaiwen Hong; Chun-Kai Yao; Justin Lin; Weihang Liang; Megan A. Bayles; Wendy A. Rogers; Katherine Rose Driggs-Campbell (CoRR, 2023)

Conveying Autonomous Robot Capabilities through Contrasting Behaviour Summaries. - Peter Du; Surya Murthy; Katherine Rose Driggs-Campbell (CoRR, 2023)

Equivariant Few-Shot Learning from Pretrained Models. - Sourya Basu; Pulkit Katdare; Prasanna Sattigeri; Vijil Chenthamarakshan; Katherine Rose Driggs-Campbell; Payel Das; Lav R. Varshney (CoRR, 2023)

User-Friendly Safety Monitoring System for Manufacturing Cobots. - Ye-Ji Mun; Zhe Huang 010; Haonan Chen; Yilong Niu; Haoyuan You; D. Livingston McPherson; Katherine Driggs-Campbell (CoRR, 2023)

Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks. - Zhe Huang 010; Ye-Ji Mun; Haonan Chen; Yiqing Xie; Yilong Niu; Xiang Li; Ninghan Zhong; Haoyuan You; D. Livingston McPherson; Katherine Driggs-Campbell (CoRR, 2023)

In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks. - W. Jacob Wagner; Ahmet Soylemezoglu; Dustin Nottage; Katherine Rose Driggs-Campbell (CoRR, 2023)

Learning Task Skills and Goals Simultaneously from Physical Interaction. - Haonan Chen; Ye-Ji Mun; Zhe Huang 010; Yilong Niu; Yiqing Xie; D. Livingston McPherson; Katherine Driggs-Campbell (CoRR, 2023)

Neural Informed RRT* with Point-based Network Guidance for Optimal Sampling-based Path Planning. - Zhe Huang 010; Hongyu Chen; Katherine Driggs-Campbell (CoRR, 2023)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. - Yixuan Wang 003; Zhuoran Li; Mingtong Zhang; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (CoRR, 2023)

Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics. - Peter Du; Katherine Driggs-Campbell; Roy Dong (IEEE Trans. Autom. Control., 2023)

D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement. - Yixuan Wang 003; Mingtong Zhang; Zhuoran Li; Tarik Kelestemur; Katherine Rose Driggs-Campbell; Jiajun Wu 001; Li Fei-Fei 001; Yunzhu Li (CoRL, 2024)

Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints. - Zhe Huang 010; Hongyu Chen; John Pohovey; Katherine Driggs-Campbell (ICRA, 2024)

Robotics via Experiential Active Learning With Immersive Technology: A Pedagogical Framework Designed for Engineering Curricula. - Liangjing Yang; Songjie Xiao; Tengyue Wang; Yunze Shi; Katherine Driggs-Campbell (IEEE Access, 2024)

Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS. - Aamir Hasan 002; D. Livingston McPherson; Melissa Miles; Katherine Rose Driggs-Campbell (CoRR, 2024)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation. - Shuijing Liu; Kaiwen Hong; Neeloy Chakraborty; Katherine Driggs-Campbell (CoRR, 2024)

A Brief Survey on Leveraging Large Scale Vision Models for Enhanced Robot Grasping. - Abhi Kamboj; Katherine Driggs-Campbell (CoRR, 2024)

LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration - A Robot Sous-Chef Application. - Zhe Huang 010; John Pohovey; Ananya Yammanuru; Katherine Driggs-Campbell (CoRR, 2024)

Cooperative Advisory Residual Policies for Congestion Mitigation. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Jung-Hoon Cho; Cathy Wu 002; Katherine Rose Driggs-Campbell (CoRR, 2024)

Lessons in Cooperation: A Qualitative Analysis of Driver Sentiments towards Real-Time Advisory Systems from a Driving Simulator User Study. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Cathy Wu 002; Katherine Driggs-Campbell (CoRR, 2024)

Topology-Guided ORCA: Smooth Multi-Agent Motion Planning in Constrained Environments. - Fatemeh Cheraghi Pouria; Zhe Huang 010; Ananya Yammanuru; Shuijing Liu; Katherine Driggs-Campbell (CoRR, 2024)

HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments. - Shuijing Liu; Haochen Xia; Fatemeh Cheraghi Pouria; Kaiwen Hong; Neeloy Chakraborty; Katherine Rose Driggs-Campbell (CoRR, 2024)

DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. - Shuijing Liu; Aamir Hasan 002; Kaiwen Hong; Runxuan Wang; Peixin Chang; Zachary Mizrachi; Justin Lin; D. Livingston McPherson; Wendy A. Rogers; Katherine Driggs-Campbell (IEEE Robotics Autom. Lett., 2024)

Towards Provable Log Density Policy Gradient. - Pulkit Katdare; Anant A. Joshi; Katherine Rose Driggs-Campbell (Trans. Mach. Learn. Res., 2024)

W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. - Andre Schreiber; Arun Narenthiran Sivakumar; Peter Du; Mateus Valverde Gasparino; Girish Chowdhary 001; Katherine Rose Driggs-Campbell (IEEE Robotics Autom. Lett., 2024)

Implementation and Validation of Obstacle Avoidance Algorithms on a Self-Balancing Robot. - Mahshid Mansouri; Zhe Huang 010; Yu Chen 071; Katherine Driggs-Campbell; William R. Norris 001; João Ramos 004; Elizabeth T. Hsiao-Wecksler (CASE, 2025)

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 Driggs-Campbell (ICRA, 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 Driggs-Campbell (ICRA, 2025)

Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition. - Shengcheng Luo; Quanquan Peng; Jun Lv; Kaiwen Hong; Katherine Rose Driggs-Campbell; Cewu Lu; Yong-Lu Li 001 (ICRA, 2025)

'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 001 (ITiCSE (1), 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)

Lessons in Cooperation: Driver Sentiments Toward Real-Time Advisory Systems. - Aamir Hasan 002; Neeloy Chakraborty; Haonan Chen; Cathy Wu 002; Katherine Driggs-Campbell (IEEE Intell. Transp. Syst. Mag., 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)

EMMOE: A Comprehensive Benchmark for Embodied Mobile Manipulation in Open Environments. - Dongping Li; Tielong Cai; Tianci Tang; Wenhao Chai; Katherine Rose Driggs-Campbell; Gaoang Wang (CoRR, 2025)

A Unified Framework for Robots that Influence Humans over Long-Term Interaction. - Shahabedin Sagheb; Sagar Parekh; Ravi Pandya; Ye-Ji Mun; Katie Driggs-Campbell; Andrea Bajcsy; Dylan P. Losey (CoRR, 2025)

Towards Uncertainty Unification: A Case Study for Preference Learning. - Shaoting Peng; Haonan Chen; Katherine Rose Driggs-Campbell (CoRR, 2025)

Tool-as-Interface: Learning Robot Policies from Human Tool Usage through Imitation Learning. - Haonan Chen; Cheng Zhu; Yunzhu Li; Katherine Rose Driggs-Campbell (CoRR, 2025)

Adaptive Stress Testing Black-Box LLM Planners. - Neeloy Chakraborty; John Pohovey; Melkior Ornik; Katherine Driggs-Campbell (CoRR, 2025)

Hierarchical Intention Tracking with Switching Trees for Real-Time Adaptation to Dynamic Human Intentions during Collaboration. - Zhe Huang 010; Ye-Ji Mun; Fatemeh Cheraghi Pouria; Katherine Driggs-Campbell (CoRR, 2025)

Do You Know the Way? Human-in-The-Loop Understanding for Fast Traversability Estimation in Mobile Robotics. - Andre Schreiber; Katherine Driggs-Campbell (IEEE Robotics Autom. Lett., 2025)

In-Situ Soil-Property Estimation and Bayesian Mapping with a Simulated Compact Track Loader. - W. Jacob Wagner; Ahmet Soylemezoglu; Katherine Driggs-Campbell (CoRR, 2025)

Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. - Neeloy Chakraborty; Melkior Ornik; Katherine Rose Driggs-Campbell (ACM Comput. Surv., 2025)

COMMET: A System for Human-Induced Conflicts in Mobile Manipulation of Everyday Tasks. - Dongping Li; Shaoting Peng; John Pohovey; Katherine Rose Driggs-Campbell (CoRR, 2025)

Trust-Aware Embodied Bayesian Persuasion for Mixed-Autonomy. - Shaoting Peng; Katherine Driggs-Campbell; Roy Dong (CoRR, 2025)

Tactile-Based Human Intent Recognition for Robot Assistive Navigation. - Shaoting Peng; Dakarai Crowder; Wenzhen Yuan 001; Katherine Driggs-Campbell (CoRR, 2025)

Multi-Modal Manipulation via Multi-Modal Policy Consensus. - Haonan Chen; Jiaming Xu; Hongyu Chen; Kaiwen Hong; Binghao Huang; Chaoqi Liu; Jiayuan Mao; Yunzhu Li; Yilun Du; Katherine Driggs-Campbell (CoRR, 2025)