3 citations · 3 across the 2 of their papers we have counts for
6 papers
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems
Ali Baheri, Hao Ren, Benjamin Johnson +2
We present a safety verification framework for design-time and run-time assurance of learning-based components in aviation systems. Our proposed framework integrates two novel meth…
A Framework for Controlling Multi-Robot Systems Using Bayesian Optimization and Linear Combination of Vectors
Stephen Jacobs, R. Michael Butts, Yu Gu +2
We propose a general framework for creating parameterized control schemes for decentralized multi-robot systems. A variety of tasks can be seen in the decentralized multi-robot lit…
Safe Reinforcement Learning with Mixture Density Network: A Case Study in Autonomous Highway Driving
Ali Baheri
This paper presents a safe reinforcement learning system for automated driving that benefits from multimodal future trajectory predictions. We propose a safety system that consists…
Vision-Based Autonomous Driving: A Model Learning Approach
Ali Baheri, Ilya Kolmanovsky, Anouck Girard +2
We present an integrated approach for perception and control for an autonomous vehicle and demonstrate this approach in a high-fidelity urban driving simulator. Our approach first…
Deep Reinforcement Learning with Enhanced Safety for Autonomous Highway Driving
Ali Baheri, Subramanya Nageshrao, H. Eric Tseng +3
In this paper, we present a safe deep reinforcement learning system for automated driving. The proposed framework leverages merits of both rule-based and learning-based approaches…
Waypoint Optimization Using Bayesian Optimization: A Case Study in Airborne Wind Energy Systems
Ali Baheri, Chris Vermillion
We present a data-driven optimization framework that aims to address online adaptation of the flight path shape for an airborne wind energy system (AWE) that follows a repetitive p…