Sotabase

Career

· Research Scientist, NVIDIA2019–
· Ph.D. Candidate, Stanford University2010–2019
· B.S. in Mathematics (with Honors) and Physics, Stanford University2006–2010
· Associate Director, Autonomous Systems Laboratory, Stanford University
· AV Researcher, Waymo
· Waymo Research

Publications (60)

Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
IEEE International Conference on Robotics and Automation · 2017
181
cited
Multimodal Deep Generative Models for Trajectory Prediction: A Conditional Variational Autoencoder Approach
IEEE Robotics and Automation Letters · 2020
123
cited
A convex optimization approach to smooth trajectories for motion planning with car-like robots
IEEE Conference on Decision and Control · 2015
119
cited
Monte Carlo Motion Planning for Robot Trajectory Optimization Under Uncertainty
International Symposium of Robotics Research · 2015
111
cited
Semantic anomaly detection with large language models
Autonomous Robots · 2023
108
cited
On infusing reachability-based safety assurance within planning frameworks for human–robot vehicle interactions
Int. J. Robotics Res. · 2020
106
cited
Optimal sampling-based motion planning under differential constraints: The driftless case
IEEE International Conference on Robotics and Automation · 2014
82
cited
Learned Critical Probabilistic Roadmaps for Robotic Motion Planning
IEEE International Conference on Robotics and Automation · 2019
77
cited
Generative Modeling of Multimodal Multi-Human Behavior
IEEE/RJS International Conference on Intelligent RObots and Systems · 2018
76
cited
Real-Time Anomaly Detection and Reactive Planning with Large Language Models
Robotics: Science and Systems · 2024
71
cited
Sample-efficient safety assurances using conformal prediction
Workshop on the Algorithmic Foundations of Robotics · 2021
65
cited
Optimal sampling-based motion planning under differential constraints: The drift case with linear affine dynamics
IEEE Conference on Decision and Control · 2014
54
cited
Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
Conference on Robot Learning · 2024
53
cited
An asymptotically-optimal sampling-based algorithm for Bi-directional motion planning
IEEE/RJS International Conference on Intelligent RObots and Systems · 2015
50
cited
CoCo: Online Mixed-Integer Control via Supervised Learning
IEEE Robotics and Automation Letters · 2021
49
cited
Revisiting the Asymptotic Optimality of RRT*
IEEE International Conference on Robotics and Automation · 2019
47
cited
Evaluating Trajectory Collision Probability through Adaptive Importance Sampling for Safe Motion Planning
Robotics: Science and Systems · 2016
40
cited
A System-Level View on Out-of-Distribution Data in Robotics
arXiv.org · 2022
39
cited
Data-Driven Spectral Submanifold Reduction for Nonlinear Optimal Control of High-Dimensional Robots
IEEE International Conference on Robotics and Automation · 2022
37
cited
On Infusing Reachability-Based Safety Assurance within Probabilistic Planning Frameworks for Human-Robot Vehicle Interactions
International Symposium on Experimental Robotics · 2018
33
cited
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Edward Schmerling | Researcher Profile | Sotabase | Sotabase