Keru Wang

New York University

Papers

2

Total Citations

16

H-Index

2

About

Keru Wang is a pioneering researcher in human-robot interaction and mixed reality collaboration, with a focus on making multi-robot systems accessible through intuitive, human-centric interfaces. Their most cited work, “Push-That-There” (2024, 11 citations), introduces a groundbreaking multimodal interaction method that allows users to issue object-level instructions—inspired by the classic “Put-That-There” paradigm—enabling a tabletop multi-robot system to autonomously and collectively manipulate objects without requiring users to command individual robots. This contribution significantly lowers the barrier to multi-robot control, advancing collaborative robotics in everyday settings. Wang’s earlier work, “Mixed Reality Collaboration for Complementary Working Styles” (2022, 5 citations), demonstrates their commitment to inclusive design by integrating immersive VR, multitouch AR, volumetric capture, motion capture, robotic tangible interfaces, and live coding into a unified platform that respects diverse working styles and talents. By blending cutting-edge technologies with human-centered principles, Wang is shaping a future where humans and robots collaborate seamlessly, making complex systems more natural and empowering for all users.

Research Focus

Key Achievements

2
H-Index
2
Papers
16
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
“Push-That-There”: Tabletop Multi-robot Object Manipulation via Multimodal 'Object-level Instruction'
11 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: New York University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago