Brian H. Yang

According to our database, Brian H. Yang authored at least 8 papers between 2018 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors.

Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

CoRR, 2021

Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation.

Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Morphology-Agnostic Visual Robotic Control.

Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine

IEEE Robotics Autom. Lett., 2020

DIGIT: A Novel Design for a Low-Cost Compact High-Resolution Tactile Sensor With Application to In-Hand Manipulation.

Mike Lambeta, Po-Wei Chou, Stephen Tian, Brian H. Yang, Benjamin Maloon, Victoria Rose Most, Dave Stroud, Raymond Santos, Ahmad Byagowi, Gregg Kammerer, Dinesh Jayaraman, Roberto Calandra

IEEE Robotics Autom. Lett., 2020

2019

REPLAB: A Reproducible Low-Cost Arm Benchmark Platform for Robotic Learning.

Brian H. Yang, Jesse Zhang, Vitchyr Pong, Sergey Levine, Dinesh Jayaraman

CoRR, 2019

REPLAB: A Reproducible Low-Cost Arm Benchmark for Robotic Learning.

Brian H. Yang, Dinesh Jayaraman, Jesse Zhang, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Data-efficient Learning of Morphology and Controller for a Microrobot.

Thomas Liao, Grant Wang, Brian H. Yang, Rene Lee, Kristofer S. J. Pister, Sergey Levine, Roberto Calandra

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Learning Flexible and Reusable Locomotion Primitives for a Microrobot.

Brian H. Yang, Grant Wang, Roberto Calandra, Daniel Contreras, Sergey Levine, Kristofer S. J. Pister

IEEE Robotics Autom. Lett., 2018