3 citations · 3 across the 5 of their papers we have counts for
5 papers
GPU-Accelerated Astrodynamics World Models for Spacecraft Rendezvous and Proximity Operations
Duncan Eddy, Isaac R. Ward, Grace Ra Kim +1
World models are an emerging paradigm in representation learning in which an agent jointly learns state-action dynamics and observation models from offline trajectory data, enablin…
Foundational World Models Accurately Detect Bimanual Manipulator Failures
Isaac R. Ward, Michelle Ho, Houjun Liu +7
Deploying visuomotor robots at scale is challenging due to the potential for anomalous failures to degrade performance, cause damage, or endanger human life. Bimanual manipulators…
World Model Failure Classification and Anomaly Detection for Autonomous Inspection
Michelle Ho, Muhammad Fadhil Ginting, Isaac R. Ward +4
Autonomous inspection robots for monitoring industrial sites can reduce costs and risks associated with human-led inspection. However, accurate readings can be challenging due to o…
Improving the Resilience of Quadrotors in Underground Environments by Combining Learning-based and Safety Controllers
Isaac Ronald Ward, Mark Paral, Kristopher Riordan +1
Autonomously controlling quadrotors in large-scale subterranean environments is applicable to many areas such as environmental surveying, mining operations, and search and rescue.…
Optimal Control of Mechanical Ventilators with Learned Respiratory Dynamics
Isaac Ronald Ward, Dylan M. Asmar, Mansur Arief +2
Deciding on appropriate mechanical ventilator management strategies significantly impacts the health outcomes for patients with respiratory diseases. Acute Respiratory Distress Syn…