Eley Ng
Papers
2
Total Citations
36
H-Index
2
About
Eley Ng is a rising researcher in human-robot interaction, focusing on enabling seamless collaboration between humans and autonomous systems. Their work centers on the critical challenge of modeling multimodal human behavior to achieve truly synergistic teamwork. Ng’s most cited paper, “Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks” (2023, 21 citations), introduces a novel diffusion-based co-policy that captures the inherent multimodality of human actions, allowing robots to anticipate and adapt to diverse human strategies in real-time. This breakthrough addresses a long-standing barrier to fluid human-robot collaboration. In another highly regarded work, “It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying” (2023, 15 citations), Ng tackles the complex, continuous dynamics of cooperative table-carrying. By developing a method that predicts realistic motion plans requiring instantaneous adaptation, Ng demonstrates how robots can learn to coordinate with human partners on physically demanding tasks. Together, these contributions lay the groundwork for more intuitive, responsive robotic assistants, with Ng’s research already influencing the next generation of collaborative systems.
Research Focus
Key Achievements
Top Papers
- 1Diffusion Co-Policy for Synergistic Human-Robot Collaborative Tasks21 citations · 2023
- 2It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying15 citations · 2023