Sotabase

Career

· Assistant Professor, University of Illinois at Urbana-Champaign2019–
· Postdoctoral Research Scholar, Stanford University2017–2018
· Research Intern, MIT Lincoln Laboratory2015–2015
· Graduate Student Researcher, UC Berkeley2012–2017
· Master’s Degree, Electrical Engineering and Computer Science, University of California, Berkeley2012–2015
· Summer Intern, TASER International2011–2011
· Student Researcher, Arizona State University2009–2012
· Employee, Covid, Inc.2009–2009
· BSE, Electrical Engineering, Arizona State University2008–2012

Publications (50)

HG-DAgger: Interactive Imitation Learning with Human Experts
IEEE International Conference on Robotics and Automation · 2018
281
cited
Combining Planning and Deep Reinforcement Learning in Tactical Decision Making for Autonomous Driving
IEEE Transactions on Intelligent Vehicles · 2019
275
cited
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
137
cited
Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph
2022
115
cited
Adaptive Stress Testing with Reward Augmentation for Autonomous Vehicle Validatio
International Conference on Intelligent Transportation Systems · 2019
109
cited
Integrating Intuitive Driver Models in Autonomous Planning for Interactive Maneuvers
IEEE transactions on intelligent transportation systems (Print) · 2017
64
cited
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
2022
63
cited
Simulating Emergent Properties of Human Driving Behavior Using Multi-Agent Reward Augmented Imitation Learning
IEEE International Conference on Robotics and Automation · 2019
57
cited
Improved Robustness and Safety for Autonomous Vehicle Control with Adversarial Reinforcement Learning
2018 IEEE Intelligent Vehicles Symposium (IV) · 2018
51
cited
D3Fields: Dynamic 3D Descriptor Fields for Zero-Shot Generalizable Rearrangement
Conference on Robot Learning · 2023
37
cited
Long-Term Pedestrian Trajectory Prediction Using Mutable Intention Filter and Warp LSTM
2020
36
cited
Dynamic Environment Prediction in Urban Scenes using Recurrent Representation Learning
International Conference on Intelligent Transportation Systems · 2019
34
cited
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
2020
32
cited
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior
Proceedings of the IEEE · 2020
31
cited
Multi-Agent Variational Occlusion Inference Using People as Sensors
IEEE International Conference on Robotics and Automation · 2021
29
cited
Neural Informed RRT*: Learning-based Path Planning with Point Cloud State Representations under Admissible Ellipsoidal Constraints
2023
29
cited
Learning Sparse Interaction Graphs of Partially Detected Pedestrians for Trajectory Prediction
2021
26
cited
Online Monitoring for Safe Pedestrian-Vehicle Interactions
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) · 2019
26
cited
Modeling and Prediction of Human Driver Behavior: A Survey
arXiv.org · 2020
22
cited
Occlusion-Aware Crowd Navigation Using People as Sensors
2022
21
cited
Sotabase
Katherine Driggs-Campbell | Researcher Profile | Sotabase | Sotabase