Matthew Glisson
Papers
2
Total Citations
86
H-Index
2
About
Matthew Glisson is a leading researcher in human-robot interaction, with a focus on entertainment robotics and motion imitation. His work bridges the gap between safe physical engagement and expressive robotic behavior, particularly in theme park and public environments. His most-cited paper, "Playing catch and juggling with a humanoid robot" (2012, 69 citations), introduced a novel approach to physical interaction that maintains a safe distance while enabling dynamic, engaging activities like catching and throwing objects—a breakthrough for guest-facing robots. In his subsequent work, "Extraction of person-specific motion style based on a task model and imitation by humanoid robot" (2014, 17 citations), Glisson pioneered methods for robots to extract and replicate individual human motion styles, enabling more natural and personalized interactions. This research is critical for creating robots that can adapt their movements to specific scenarios, enhancing their appeal in entertainment and service roles. Glisson’s contributions have been instrumental in advancing the field of socially interactive robotics, demonstrating how robots can safely and effectively engage with humans through physical play and stylistic imitation.
Research Focus
Key Achievements
Top Papers
- 1Playing catch and juggling with a humanoid robot69 citations · 2012
- 2