Code Releases

	[Code] Table-carrying-ai, a continuous state-action benchmark environment for human-robot cooperation.

Preprints

	[Paper] Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks. E. Ng, Z. Liu, M. Kennedy III. arXiv preprint, 2023. (Webpage coming soon!)
	[Webpage] [Paper] [Video] [Code] It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying. E. Ng, Z. Liu, M. Kennedy III. To appear in IEEE Int’l Conf. on Robotics and Automation (ICRA) 2023.

Publications

	[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.
	[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.