activity
20112024
most citedFaSTrack: a Modular Framework for Real-Time Motion Planning and Guaranteed Safe Tracking

80 citations · 167 across the 23 of their papers we have counts for

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Showing 2020Show all

15 papers · 1 filter

cs.LG2020

Voronoi Progressive Widening: Efficient Online Solvers for Continuous State, Action, and Observation POMDPs

Michael H. Lim, Claire J. Tomlin, Zachary N. Sunberg

This paper introduces Voronoi Progressive Widening (VPW), a generalization of Voronoi optimistic optimization (VOO) and action progressive widening to partially observable Markov d…

cs.RO2020

Multi-Hypothesis Interactions in Game-Theoretic Motion Planning

Forrest Laine, David Fridovich-Keil, Chih-Yuan Chiu +1

We present a novel method for handling uncertainty about the intentions of non-ego players in dynamic games, with application to motion planning for autonomous vehicles. Equilibria…

cs.LG2020

Testing for Typicality with Respect to an Ensemble of Learned Distributions

Forrest Laine, Claire Tomlin

Methods of performing anomaly detection on high-dimensional data sets are needed, since algorithms which are trained on data are only expected to perform well on data that is simil…

cs.RO2020

DeepReach: A Deep Learning Approach to High-Dimensional Reachability

Somil Bansal, Claire Tomlin

Hamilton-Jacobi (HJ) reachability analysis is an important formal verification method for guaranteeing performance and safety properties of dynamical control systems. Its advantage…

eess.SY2020

Gaussian Process-based Min-norm Stabilizing Controller for Control-Affine Systems with Uncertain Input Effects and Dynamics

Fernando Castañeda, Jason J. Choi, Bike Zhang +2

This paper presents a method to design a min-norm Control Lyapunov Function (CLF)-based stabilizing controller for a control-affine system with uncertain dynamics using Gaussian Pr…

cs.RO2020

Encoding Defensive Driving as a Dynamic Nash Game

Chih-Yuan Chiu, David Fridovich-Keil, Claire J. Tomlin

Robots deployed in real-world environments should operate safely in a robust manner. In scenarios where an "ego" agent navigates in an environment with multiple other "non-ego" age…