103 citations · 110 across the 9 of their papers we have counts for
3 papers · 1 filter
Open X-Embodiment: Robotic Learning Datasets and RT-X Models
Embodiment Collaboration, Abby O'Neill, Abdul Rehman +291
Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, thi…
Certifiably-correct Control Policies for Safe Learning and Adaptation in Assistive Robotics
Keyvan Majd, Geoffrey Clark, Tanmay Khandait +4
Guaranteeing safety in human-centric applications is critical in robot learning as the learned policies may demonstrate unsafe behaviors in formerly unseen scenarios. We present a…
Safe Robot Learning in Assistive Devices through Neural Network Repair
Keyvan Majd, Geoffrey Clark, Tanmay Khandait +4
Assistive robotic devices are a particularly promising field of application for neural networks (NN) due to the need for personalization and hard-to-model human-machine interaction…