Shokoofeh Pourmehr
Papers
7
Total Citations
98
H-Index
5
About
Shokoofeh Pourmehr is a leading researcher in human-robot interaction (HRI), specializing in multimodal systems that enable intuitive, natural communication between people and robots. Her work focuses on creating robust frameworks for selecting, commanding, and managing groups of robots—both ground and aerial—using a blend of voice commands, face engagement, gestures, and haptic feedback. One of her most cited contributions, “You two! Take off!” (44 citations), demonstrates a pioneering system that dynamically creates and commands robot groups through indirect speech and face engagement, extending prior work on individual robot selection. She also developed an integrated system for multiple humans and robots (21 citations) that combines sensing and signaling modalities, and a probabilistic sensor fusion framework (13 citations) that allows robots to reliably locate interaction partners in crowded, uncontrolled environments. Her notable achievements include enabling users to name robot groups via haptic stimuli and voice (e.g., “You are green”) and integrating multimodal interfaces for commanding UAV teams. With over 98 total citations, Pourmehr’s research advances the frontier of accessible, scalable robot control, making her work essential for students and researchers exploring natural, multi-robot interaction systems.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Robust sensor fusion for finding HRI partners in a crowd13 citations · 2017
- 4"You are green"9 citations · 2014
- 5Integrating multi-modal interfaces to command UAVs6 citations · 2014
- 6What Untrained People Do When Asked "Make The Robot Come To You"3 citations · 2016
- 7What untrained people do when asked “make the robot come to you”2 citations · 2016