323 citations · 514 across the 31 of their papers we have counts for
8 papers · 1 filter
Individualization of atrial tachycardia models for clinical applications: Performance of fiber-independent model
Jiyue He, Arkady Pertsov, John Bullinga +1
One of the challenges in the development of patient-specific models of cardiac arrhythmias for clinical applications has been accounting for myocardial fiber organization. The fibe…
Multi-Agent Reinforcement Learning Guided by Signal Temporal Logic Specifications
Jiangwei Wang, Shuo Yang, Ziyan An +5
Reward design is a key component of deep reinforcement learning, yet some tasks and designer's objectives may be unnatural to define as a scalar cost function. Among the various te…
Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction
Shuo Yang, George J. Pappas, Rahul Mangharam +1
We consider perception-based control using state estimates that are obtained from high-dimensional sensor measurements via learning-enabled perception maps. However, these percepti…
Differentiable Trajectory Generation for Car-like Robots with Interpolating Radial Basis Function Networks
Hongrui Zheng, Rahul Mangharam
The design of Autonomous Vehicle software has largely followed the Sense-Plan-Act model. Traditional modular AV stacks develop perception, planning, and control software separately…
Ensemble Gaussian Processes for Adaptive Autonomous Driving on Multi-friction Surfaces
Tomáš Nagy, Ahmad Amine, Truong X. Nghiem +3
Driving under varying road conditions is challenging, especially for autonomous vehicles that must adapt in real-time to changes in the environment, e.g., rain, snow, etc. It is di…
MEGA-DAgger: Imitation Learning with Multiple Imperfect Experts
Xiatao Sun, Shuo Yang, Mingyan Zhou +2
Imitation learning has been widely applied to various autonomous systems thanks to recent development in interactive algorithms that address covariate shift and compounding errors…
Drive Right: Promoting Autonomous Vehicle Education Through an Integrated Simulation Platform
Zhijie Qiao, Helen Loeb, Venkata Gurrla +3
Autonomous vehicles (AVs) are being rapidly introduced into our lives. However, public misunderstanding and mistrust have become prominent issues hindering the acceptance of these…
Physics Constrained Motion Prediction with Uncertainty Quantification
Renukanandan Tumu, Lars Lindemann, Truong Nghiem +1
Predicting the motion of dynamic agents is a critical task for guaranteeing the safety of autonomous systems. A particular challenge is that motion prediction algorithms should obe…