My research interest lies in enabling robots to perform complex tasks in semi-structured environments by combining methods in model-based planning and model-free learning, leveraging both the performance guarantees of plans and the robustness to uncertainty of learned policies.
Before joining RI I interned at NVIDIA for the Isaac project and worked on using GPU-accelerated physics simulations for robot learning. Before that and during my time at UC Berkeley I did research in robot grasping and manipulation with Prof. Ken Goldberg.
2/4/2019 - Check out this in-depth article I’ve co-written on the impact of AI and automation on jobs! We’ve done a thorough review on recent studies and tried to give a balanced take on the subject:
Jacky Liang, Jeffrey Mahler, Michael Laskey, Pusong Li, Ken Goldberg. IEEE Conference on Automation Science and Engineering (CASE), Xi’an, China, August 2017. Finalist, Best Student Paper Award. [PDF] [Website]
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio Ojea, Ken Goldberg. Robotics: Science and Systems (RSS). MIT Cambridge, MA. July 2017. [PDF] [Website]
Menglong Guo, David V. Gealy, Jacky Liang, Jeffrey Mahler, Aimee Goncalves, Stephen McKinley, Ken Goldberg. 2017 IEEE International Conference on Robotics and Automation (ICRA). May 2017. [PDF]
* Equal Contribution.
Spring 2017 Discussion Teaching Assistant
Fall 2016, 2017 Discussion Teaching Assistant