Enabling Efficient and Reliable Robot Manipulation Through Optimization, Interactive Perception and Self-Supervised Learning
Yahav Avigal [2024]

Scalable Lifelong Imitation Learning for Robot Fleets
Ryan Hoque [2024]

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]