Katherine Driggs Campbell

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 37

Top Topics

Robot Navigation

Reinforcement Learning

Advisory Systems

Top Venues

Publications

Haonan Chen, Ye-Ji Mun, Zhe Huang, Yilong Niu, Yiqing Xie, D. Livingston McPherson, Katherine Driggs Campbell
Learning Task Skills and Goals Simultaneously from Physical Interaction. CoRR (2023)
Zhe Huang, Ye-Ji Mun, Haonan Chen, Yiqing Xie, Yilong Niu, Xiang Li, Ninghan Zhong, Haoyuan You, D. Livingston McPherson, Katherine Driggs Campbell
Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks. CoRR (2023)
Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs Campbell, Dylan P. Losey
Towards Robots that Influence Humans over Long-Term Interaction. ICRA (2023)
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell
Occlusion-Aware Crowd Navigation Using People as Sensors. ICRA (2023)
Yu-Chen Chang, Nitish Gandi, Kazuki Shin, Ye-Ji Mun, Katherine Driggs Campbell, Joohyung Kim
Specifying Target Objects in Robot Teleoperation Using Speech and Natural Eye Gaze. Humanoids (2023)
Sourya Basu, Pulkit Katdare, Prasanna Sattigeri, Vijil Chenthamarakshan, Katherine Driggs Campbell, Payel Das, Lav R. Varshney
Efficient Equivariant Transfer Learning from Pretrained Models. NeurIPS (2023)
Zhe Huang, Hongyu Chen, Katherine Driggs Campbell
Neural Informed RRT* with Point-based Network Guidance for Optimal Sampling-based Path Planning. CoRR (2023)
Ye-Ji Mun, Zhe Huang, Haonan Chen, Yilong Niu, Haoyuan You, D. Livingston McPherson, Katherine Driggs Campbell
User-Friendly Safety Monitoring System for Manufacturing Cobots. CoRR (2023)
Peter Du, Katherine Driggs Campbell, Roy Dong
Improving the Feasibility of Moment-Based Safety Analysis for Stochastic Dynamics. IEEE Trans. Autom. Control. 68 (6) (2023)
Pulkit Katdare, Nan Jiang, Katherine Driggs Campbell
Marginalized Importance Sampling for Off-Environment Policy Evaluation. CoRR (2023)
Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs Campbell
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. IROS (2023)
Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu
Dynamic-Resolution Model Learning for Object Pile Manipulation. Robotics: Science and Systems (2023)
Aamir Hasan, Neeloy Chakraborty, Haonan Chen, Jung-Hoon Cho, Cathy Wu, Katherine Driggs Campbell
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems. ITSC (2023)
Yixuan Wang, Yunzhu Li, Katherine Driggs Campbell, Li Fei-Fei, Jiajun Wu
Dynamic-Resolution Model Learning for Object Pile Manipulation. CoRR (2023)
Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs Campbell
Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR (2023)
Tianchen Ji, Roy Dong, Katherine Driggs Campbell
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. CoRR (2022)
Haonan Chen, Tianchen Ji, Shuijing Liu, Katherine Driggs Campbell
Combining Model-Based Controllers and Generative Adversarial Imitation Learning for Traffic Simulation. ITSC (2022)
Tianchen Ji, Junyi Geng, Katherine Driggs Campbell
Robust Output Feedback MPC with Reduced Conservatism under Ellipsoidal Uncertainty. CDC (2022)
Shahabedin Sagheb, Ye-Ji Mun, Neema Ahmadian, Benjamin A. Christie, Andrea Bajcsy, Katherine Driggs Campbell, Dylan P. Losey
Towards Robots that Influence Humans over Long-Term Interaction. CoRR (2022)
Yuan Shen, Niviru Wijayaratne, Pranav Sriram, Aamir Hasan, Peter Du, Katherine Driggs Campbell
CoCAtt: A Cognitive-Conditioned Driver Attention Dataset. ITSC (2022)
W. Jacob Wagner, Katherine Driggs Campbell, Ahmet Soylemezoglu
Model Learning and Predictive Control for Autonomous Obstacle Reduction via Bulldozing. IROS (2022)
Ye-Ji Mun, Masha Itkina, Shuijing Liu, Katherine Driggs Campbell
Occlusion-Aware Crowd Navigation Using People as Sensors. CoRR (2022)
Aamir Hasan, Pranav Sriram, Katherine Driggs Campbell
Meta-path Analysis on Spatio-Temporal Graphs for Pedestrian Trajectory Prediction. CoRR (2022)
Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs Campbell
Proactive Anomaly Detection for Robot Navigation With Multi-Sensor Fusion. IEEE Robotics Autom. Lett. 7 (2) (2022)
Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer
Multi-Agent Variational Occlusion Inference Using People as Sensors. ICRA (2022)
Tianchen Ji, Arun Narenthiran Sivakumar, Girish Chowdhary, Katherine Driggs Campbell
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion. CoRR (2022)
Tianchen Ji, Roy Dong, Katherine Driggs Campbell
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance. Robotics: Science and Systems (2022)
Zhe Huang, Ye-Ji Mun, Xiang Li, Yiqing Xie, Ninghan Zhong, Weihang Liang, Junyi Geng, Tan Chen, Katherine Driggs Campbell
Hierarchical Intention Tracking for Robust Human-Robot Collaboration in Industrial Assembly Tasks. CoRR (2022)
Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell
Off Environment Evaluation Using Convex Risk Minimization. ICRA (2022)
Peixin Chang, Shuijing Liu, Katherine Driggs Campbell
Robot Sound Interpretation: Learning Visual-Audio Representations for Voice-Controlled Robots. CoRR (2021)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. ICRA (2021)
Masha Itkina, Ye-Ji Mun, Katherine Driggs Campbell, Mykel J. Kochenderfer
Multi-Agent Variational Occlusion Inference Using People as Sensors. CoRR (2021)
Yuan Shen, Niviru Wijayaratne, Peter Du, Shanduojiao Jiang, Katherine Driggs Campbell
AutoPreview: A Framework for Autopilot Behavior Understanding. CoRR (2021)
Shuijing Liu, Peixin Chang, Haonan Chen, Neeloy Chakraborty, Katherine Driggs Campbell
Learning to Navigate Intersections with Unsupervised Driver Trait Inference. CoRR (2021)
Pulkit Katdare, Shuijing Liu, Katherine Driggs Campbell
Off Environment Evaluation Using Convex Risk Minimization. CoRR (2021)
Shuijing Liu, Peixin Chang, Weihang Liang, Neeloy Chakraborty, Katherine Driggs Campbell
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning. CoRR (2020)
Peixin Chang, Shuijing Liu, Haonan Chen, Katherine Driggs Campbell
Robot Sound Interpretation: Combining Sight and Sound in Learning-Based Control. IROS (2020)