86 citations · 208 across the 9 of their papers we have counts for
9 papers
Learning An Active Inference Model of Driver Perception and Control: Application to Vehicle Car-Following
Ran Wei, Anthony D. McDonald, Alfredo Garcia +3
In this paper we introduce a general estimation methodology for learning a model of human perception and control in a sensorimotor control task based upon a finite set of demonstra…
Embedding Synthetic Off-Policy Experience for Autonomous Driving via Zero-Shot Curricula
Eli Bronstein, Sirish Srinivasan, Supratik Paul +4
ML-based motion planning is a promising approach to produce agents that exhibit complex behaviors, and automatically adapt to novel environments. In the context of autonomous drivi…
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha, Matthew O'Kelly, Russ Tedrake +1
Learning-based methodologies increasingly find applications in safety-critical domains like autonomous driving and medical robotics. Due to the rare nature of dangerous events, rea…
BayesRace: Learning to race autonomously using prior experience
Achin Jain, Matthew O'Kelly, Pratik Chaudhari +1
Autonomous race cars require perception, estimation, planning, and control modules which work together asynchronously while driving at the limit of a vehicle's handling capability.…
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha, Matthew O'Kelly, Hongrui Zheng +3
Balancing performance and safety is crucial to deploying autonomous vehicles in multi-agent environments. In particular, autonomous racing is a domain that penalizes safe but conse…
Efficient Black-box Assessment of Autonomous Vehicle Safety
Justin Norden, Matthew O'Kelly, Aman Sinha
While autonomous vehicle (AV) technology has shown substantial progress, we still lack tools for rigorous and scalable testing. Real-world testing, the evaluati…
F1/10: An Open-Source Autonomous Cyber-Physical Platform
Matthew O'Kelly, Varundev Sukhil, Houssam Abbas +8
In 2005 DARPA labeled the realization of viable autonomous vehicles (AVs) a grand challenge; a short time later the idea became a moonshot that could change the automotive industry…
In-silico Risk Analysis of Personalized Artificial Pancreas Controllers via Rare-event Simulation
Matthew O'Kelly, Aman Sinha, Justin Norden +1
Modern treatments for Type 1 diabetes (T1D) use devices known as artificial pancreata (APs), which combine an insulin pump with a continuous glucose monitor (CGM) operating in a cl…
Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation
Matthew O'Kelly, Aman Sinha, Hongseok Namkoong +2
While recent developments in autonomous vehicle (AV) technology highlight substantial progress, we lack tools for rigorous and scalable testing. Real-world testing, the $\textit{de…