Keru Wang
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
Top Papers
- 1
- 2Mixed Reality Collaboration for Complementary Working Styles5 citations · 2022