10 papers
Learning to Trust: Bayesian Adaptation to Varying Suggester Reliability in Sequential Decision Making
Dylan M. Asmar, Mykel J. Kochenderfer
Autonomous agents operating in sequential decision-making tasks under uncertainty can benefit from external action suggestions, which provide valuable guidance but inherently vary…
Optimizing Task Completion Time Updates Using POMDPs
Duncan Eddy, Esen Yel, Emma Passmore +4
Managing announced task completion times is a fundamental control problem in project management. While extensive research exists on estimating task durations and task scheduling, t…
Efficient Multiagent Planning via Shared Action Suggestions
Dylan M. Asmar, Mykel J. Kochenderfer
Decentralized partially observable Markov decision processes with communication (Dec-POMDP-Com) provide a framework for multiagent decision making under uncertainty, but the NEXP-c…
Large-Scale Multi-Robot Assembly Planning for Autonomous Manufacturing
Kyle Brown, Dylan M. Asmar, Mac Schwager +1
Mobile autonomous robots have the potential to revolutionize manufacturing processes. However, employing large robot fleets in manufacturing requires addressing challenges includin…
Aircraft Collision Avoidance Systems: Technological Challenges and Solutions on the Path to Regulatory Acceptance
Sydney M. Katz, Robert J. Moss, Dylan M. Asmar +3
Aircraft collision avoidance systems is critical to modern aviation. These systems are designed to predict potential collisions between aircraft and recommend appropriate avoidance…
A Data-Based Architecture for Flight Test without Test Points
D. Isaiah Harp, Joshua Ott, John Alora +1
The justification for the "test point" derives from the test pilot's obligation to reproduce faithfully the pre-specified conditions of some model prediction. Pilot deviation from…