Theodric Feng
Papers
1
Total Citations
6
H-Index
1
About
Theodric Feng is a pioneering researcher in human-robot interaction, with a focus on soldier-robot teaming and multimodal communication systems. His most cited work, "Soldier-Robot Teaming: Effects of Multimodal Collaboration on Team Communication for Robot Reconnaissance" (2010, 6 citations), investigates how different communication modalities—radio, chat, and tactile belts—affect team performance during small unmanned ground vehicle (SUGV) target identification tasks. This study, which required a commander with knowledge of target locations and access to various communication channels, demonstrates Feng’s commitment to enhancing real-world military operations through intuitive, efficient human-robot interfaces. By systematically evaluating the impact of these modalities on team communication and reconnaissance outcomes, he has contributed foundational insights into designing collaborative systems that reduce cognitive load and improve mission effectiveness. Though his citation count is modest, Feng’s work is notable for its practical relevance to defense applications, bridging robotics, cognitive science, and human factors engineering. His research remains a valuable reference for scholars exploring multimodal interaction in high-stakes environments, highlighting the critical role of adaptive communication in future human-robot teams.
Research Focus
Key Achievements
Top Papers
- 1