Eley Ng

I am currently a Research Scientist at Meta. I received my PhD studying robotics & AI in the Stanford ARMLab, where I was advised by Monroe Kennedy III. My doctoral research centered on improving collaboration in physical human-robot tasks. I was supported by the NSF Graduate Research Fellowship.

Previously, I was advised by Nanshu Lu as an undergraduate at UT Austin.

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Contact: [firstname][lastname]media[at]gmail[dot]com

Benchmarking Platforms

[GitHub] table-carrying-ai. An open-source Gym-style benchmark environment for human-robot cooperative table carrying, designed as a platform for training and evaluating collaborative algorithms.

Publications

	[Webpage] [Paper] [Video] [Code]Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks.E. Ng, Z. Liu, M. Kennedy III. IEEE Robotics and Automation Letters, 2023.
	[Webpage] [Paper] [Video] [Code]It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying.E. Ng, Z. Liu, M. Kennedy III. 2023 IEEE International Conference on Robotics and Automation (ICRA), 7526-7532, 2023.
	[Paper]Learning Action and State Sampling Distributions for Human-Robot Collaboration.E. Ng, Z. Liu, M. Kennedy III. Workshop on Learning from Diverse, Offline Data (L-DOD) at RSS 2022, 2022.
	[Paper]GPU accelerated prognostics.G. E. Gorospe Jr, M. J. Daigle, S. Sankararaman, C. S. Kulkarni, E. Ng. Annual Conference of the PHM Society, 2017.
	[Paper]Indium Tin Oxide (ITO) serpentine ribbons on soft substrates stretched beyond 100%.S. Yang, E. Ng, N. Lu. Extreme Mechanics Letters, 2015.

News

10/18/23 Our latest work, Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks, has been accepted to RA-L!
7/1/23 My thesis, titled “Long-horizon prediction for human-robot collaboration”, is now available online!
2/21/23 Excited to release the repository for the cooperative table-carrying task, a cooperative multi-agent continuous state-action gym environment! Feel free to check it out, and consider using it to benchmark your cooperative algorithms.
2/19/23 Code for the cooperative planner has been released.
1/16/23 My paper, “It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying”, has been accepted to ICRA 2023 in London, UK!
6/11/22 My work on “Learning Action and State Sampling Distributions for Human-Robot Collaboration”, has been accepted to the Workshop on Learning from Diverse, Offline Data (L-DOD) at RSS 2022.