Katherine Rose Driggs-Campbell

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 72

Top Topics

Uncertain Environments

Autonomous Driving

Anomaly Detection

Top Venues

Publications

Aamir Hasan, D. Livingston McPherson, Melissa Miles, Katherine Rose Driggs-Campbell
Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS. CoRR (2024)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
Cooperative Advisory Residual Policies for Congestion Mitigation. CoRR (2024)
Shengcheng Luo, Quanquan Peng, Jun Lv, Kaiwen Hong, Katherine Rose Driggs-Campbell, Cewu Lu, Yong-Lu Li
Human-Agent Joint Learning for Efficient Robot Manipulation Skill Acquisition. CoRR (2024)
Pulkit Katdare, Anant Joshi, Katherine Rose Driggs-Campbell
Towards Provable Log Density Policy Gradient. CoRR (2024)
Neeloy Chakraborty, Melkior Ornik, Katherine Rose Driggs-Campbell
Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art. CoRR (2024)
Andre Schreiber, Arun Narenthiran Sivakumar, Peter Du, Mateus Valverde Gasparino, Girish Chowdhary, Katherine Rose Driggs-Campbell
W-RIZZ: A Weakly-Supervised Framework for Relative Traversability Estimation in Mobile Robotics. IEEE Robotics Autom. Lett. 9 (6) (2024)
Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Rose Driggs-Campbell
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. CoRR (2023)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS (2023)
Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Learning Visual-Audio Representations for Voice-Controlled Robots. ICRA (2023)
Pulkit Katdare, Nan Jiang, Katherine Rose Driggs-Campbell
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRL (2023)
Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR (2023)
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRL (2023)
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Rose Driggs-Campbell
DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding. CoRR (2023)
Aamir Hasan, Neeloy Chakraborty, Cathy Wu, Katherine Rose Driggs-Campbell
Towards Co-operative Congestion Mitigation. CoRR (2023)
Shuijing Liu, Aamir Hasan, Kaiwen Hong, Chun-Kai Yao, Justin Lin, Weihang Liang, Megan A. Bayles, Wendy A. Rogers, Katherine Rose Driggs-Campbell
Designing a Wayfinding Robot for People with Visual Impairments. CoRR (2023)
W. Jacob Wagner, Ahmet Soylemezoglu, Dustin Nottage, Katherine Rose Driggs-Campbell
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks. CoRR (2023)
Haonan Chen, Yilong Niu, Kaiwen Hong, Shuijing Liu, Yixuan Wang, Yunzhu Li, Katherine Rose Driggs-Campbell
Predicting Object Interactions with Behavior Primitives: An Application in Stowing Tasks. CoRR (2023)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Rose Driggs-Campbell
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. CoRR (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Rose Driggs-Campbell, Payel Das, Lav R. Varshney
Equivariant Few-Shot Learning from Pretrained Models. CoRR (2023)
Yixuan Wang, Zhuoran Li, Mingtong Zhang, Katherine Rose Driggs-Campbell, Jiajun Wu, Li Fei-Fei, Yunzhu Li
Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Robotic Manipulation. CoRR (2023)
Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Rose Driggs-Campbell
Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. ICRA (2023)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. ICRA (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, Kaiwen Hong, Katherine Rose Driggs-Campbell
A Data-Efficient Visual-Audio Representation with Intuitive Fine-tuning for Voice-Controlled Robots. CoRL (2023)
Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Rose Driggs-Campbell
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset (Supplementary Material). CoRR (2022)
Tan Chen, Zhe Huang, 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, Marco Morales, Nancy M. Amato, Katherine Rose Driggs-Campbell, Timothy Bretl
Insights from an Industrial Collaborative Assembly Project: Lessons in Research and Collaboration. CoRR (2022)
Aamir Hasan, Pranav Sriram, Katherine Rose Driggs-Campbell
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. ICRA (2022)
Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Weihang Liang, Junyi Geng, Katherine Rose Driggs-Campbell
Socially Aware Robot Crowd Navigation with Interaction Graphs and Human Trajectory Prediction. CoRR (2022)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Rose Driggs-Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. ICRA (2022)
Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Rose Driggs-Campbell
Seamless Interaction Design with Coexistence and Cooperation Modes for Robust Human-Robot Collaboration. CoRR (2022)
Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Rose Driggs-Campbell
Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction. IEEE Robotics Autom. Lett. 7 (2) (2022)
Zhe Huang, Ruohua Li, Kazuki Shin, Katherine Rose Driggs-Campbell
Learning Sparse Interaction Graphs of Partially Observed Pedestrians for Trajectory Prediction. CoRR (2021)
Peter Du, Katherine Rose Driggs-Campbell
Adaptive Failure Search Using Critical States from Domain Experts. ICRA (2021)
Yuan Shen, Niviru Wijayaratne, Katherine Rose Driggs-Campbell
Building Mental Models through Preview of Autopilot Behaviors. CoRR (2021)
Zhe Huang, Aamir Hasan, Kazuki Shin, Ruohua Li, Katherine Rose Driggs-Campbell
Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM. IEEE Robotics Autom. Lett. 6 (2) (2021)
Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Rose Driggs-Campbell
AutoPreview: A Framework for Autopilot Behavior Understanding. CHI Extended Abstracts (2021)
Peter Du, Katherine Rose Driggs-Campbell, Roy Dong
A Moment-Based Safety Analysis for Stochastic Dynamical Systems. CoRR (2021)
Tianchen Ji, Katherine Rose Driggs-Campbell
Robust Model Predictive Control with Recursive State Estimation under Set-Membership Uncertainty. CoRR (2020)
Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. IEEE Trans. Intell. Veh. 5 (2) (2020)
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRR (2020)
Peter Du, Zhe Huang, Tianqi Liu, Tianchen Ji, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra
Online Monitoring for Safe Pedestrian-Vehicle Interactions. ITSC (2020)
Kyle Brown, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Modeling and Prediction of Human Driver Behavior: A Survey. CoRR (2020)
Tianchen Ji, Sri Theja Vuppala, Girish Chowdhary, Katherine Rose Driggs-Campbell
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments. CoRL (2020)
Zhe Huang, Aamir Hasan, Katherine Rose Driggs-Campbell
Intention-aware Residual Bidirectional LSTM for Long-term Pedestrian Trajectory Prediction. CoRR (2020)
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. CoRR (2019)
Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Rose Driggs-Campbell
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. CoRR (2019)
Raunak P. Bhattacharyya, Derek J. Phillips, Changliu Liu, Jayesh K. Gupta, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning. ICRA (2019)
Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio. ITSC (2019)
Anthony Corso, Peter Du, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validation. CoRR (2019)
Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. CoRR (2019)
Masha Itkina, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning. ITSC (2019)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. CoRR (2019)
Peter Du, Zhe Huang, Tianqi Liu, Ke Xu, Qichao Gao, Hussein Sibai, Katherine Rose Driggs-Campbell, Sayan Mitra
Online monitoring for safe pedestrian-vehicle interactions. CoRR (2019)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. IROS (2019)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
Monte Carlo Tree Search for Policy Optimization. IJCAI (2019)
Carl-Johan Hoel, Katherine Rose Driggs-Campbell, Krister Wolff, Leo Laine, Mykel J. Kochenderfer
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving. CoRR (2019)
Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
HG-DAgger: Interactive Imitation Learning with Human Experts. ICRA (2019)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Zongzhang Zhang, Mykel J. Kochenderfer
Monte-Carlo Tree Search for Policy Optimization. CoRR (2019)
Vijay Govindarajan, Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Affective Driver State Monitoring for Personalized, Adaptive ADAS. ITSC (2018)
Michael Kelly, Chelsea Sidrane, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
HG-DAgger: Interactive Imitation Learning with Human Experts. CoRR (2018)
Katherine Rose Driggs-Campbell, Roy Dong, Ruzena Bajcsy
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. IEEE Trans. Intell. Veh. 3 (3) (2018)
Xiaobai Ma, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning. Intelligent Vehicles Symposium (2018)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR (2018)
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
People as Sensors: Imputing Maps from Human Actions. IROS (2018)
Vijay Govindarajan, Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Data-driven reachability analysis for human-in-the-loop systems. CDC (2017)
Katherine Rose Driggs-Campbell, Vijay Govindarajan, Ruzena Bajcsy
Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers. IEEE Trans. Intell. Transp. Syst. 18 (12) (2017)
Tara Rezvani, Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Optimizing interaction between humans and autonomy via information constraints on interface design. ITSC (2017)
Oladapo Afolabi, Katherine Rose Driggs-Campbell, Roy Dong, Mykel J. Kochenderfer, S. Shankar Sastry
People as Sensors: Imputing Maps from Human Actions. CoRR (2017)
Kunal Menda, Katherine Rose Driggs-Campbell, Mykel J. Kochenderfer
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning. CoRR (2017)
Katherine Rose Driggs-Campbell, Roy Dong, S. Shankar Sastry, Ruzena Bajcsy
Robust, Informative Human-in-the-Loop Predictions via Empirical Reachable Sets. CoRR (2017)
Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Communicating intent on the road through human-inspired control schemes. IROS (2016)
Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Comparing datasets for generalizing models of driver intent in dynamic environments. Intelligent Vehicles Symposium (2016)
Tara Rezvani, Katherine Rose Driggs-Campbell, Dorsa Sadigh, S. Shankar Sastry, Sanjit A. Seshia, Ruzena Bajcsy
Towards trustworthy automation: User interfaces that convey internal and external awareness. ITSC (2016)
Chi-Pang Lam, Allen Y. Yang, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry
Improving human-in-the-loop decision making in multi-mode driver assistance systems using hidden mode stochastic hybrid systems. IROS (2015)
Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. ITSC (2015)
Katherine Rose Driggs-Campbell, Victor Shia, Ruzena Bajcsy
Improved driver modeling for human-in-the-loop vehicular control. ICRA (2015)
Katherine Rose Driggs-Campbell, Ruzena Bajcsy
Identifying Modes of Intent from Driver Behaviors in Dynamic Environments. CoRR (2015)
Dorsa Sadigh, Katherine Rose Driggs-Campbell, Ruzena Bajcsy, S. Shankar Sastry, Sanjit A. Seshia
User interface design and verification for semi-autonomous driving. HiCoNS (2014)
Katherine Rose Driggs-Campbell, Victor Shia, Ruzena Bajcsy
Decisions for autonomous vehicles: integrating sensors, communication, and control. HiCoNS (2014)
Katherine Rose Driggs-Campbell, Guillaume Bellegarda, Victor Shia, S. Shankar Sastry, Ruzena Bajcsy
Experimental Design for Human-in-the-Loop Driving Simulations. CoRR (2014)
Dorsa Sadigh, Katherine Rose Driggs-Campbell, Alberto Puggelli, Wenchao Li, Victor Shia, Ruzena Bajcsy, Alberto L. Sangiovanni-Vincentelli, S. Shankar Sastry, Sanjit A. Seshia
Data-Driven Probabilistic Modeling and Verification of Human Driver Behavior. AAAI Spring Symposia (2014)
Victor A. Shia, Yiqi Gao, Ramanarayan Vasudevan, Katherine Rose Driggs-Campbell, Theresa Lin, Francesco Borrelli, Ruzena Bajcsy
Semiautonomous Vehicular Control Using Driver Modeling. IEEE Trans. Intell. Transp. Syst. 15 (6) (2014)