Manipulation and Perception Policies for Robot Mechanical Search
Michael Danielczuk [2022]
Safe Reinforcement Learning Using Learned Safe Sets
Brijen Thananjeyan [2022]
Scalable Supervision for Safe and Efficient Online Robot Learning
Ashwin Balakrishna [2022]
Accelerating Robot Learning and Deformable Manipulation Using Simulated Interactions, Architectural Priors, and Curricula
Daniel Seita [2021]
Efficient Policy Learning for Robust Robot Grasping
Jeffrey Mahler [2018]
Hierarchical Deep Reinforcement Learning For Robotics and Data Science
Sanjay Krishnan [2018]
On and Off-Policy Deep Imitation Learning for Robotics
Michael Laskey [2018]
High-Performance Systems for Crowdsourced Data Analysis
Daniel Haas [2017]
Structured Tracking for Safety, Security, and Privacy: Algorithms for Fusing Noisy Estimates from Sensor, Robot, and Camera Networks
Jeremy Ryan Schiff [2009]