Papers
7
Total Citations
293
H-Index
6
About
Paul Rad is a leading researcher at the intersection of artificial emotional intelligence, cloud robotics, and autonomous navigation. His pioneering work on "Toward Artificial Emotional Intelligence for Cooperative Social Human–Machine Interaction" (118 citations) established foundational frameworks for robots to recognize and respond to human emotions, advancing socially intelligent human-robot interaction. Rad also made transformative contributions to cloud robotics, developing a scalable software architecture for heterogeneous large-scale autonomous robots (36 citations) and demonstrating cloud-based realtime Visual SLAM (47 citations) that offloads intensive processing from local robots to cloud systems. His deep learning innovations include improved neural network object tracking for home robotics (43 citations) and pedestrian detection systems for smart communities (29 citations) using convolutional neural networks. Rad's deep vision landmark framework for robot navigation (18 citations) further advances autonomous navigation in complex environments. His recent work on adversarial attacks in behavioral cloning (2020) addresses critical security vulnerabilities in robot learning systems. With over 290 total citations across his most influential papers, Rad's research continues to shape the future of emotionally aware, cloud-connected, and secure autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Cloud-based realtime robotic Visual SLAM47 citations · 2015
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- 6A deep vision landmark framework for robot navigation18 citations · 2017
- 7Studying Adversarial Attacks on Behavioral Cloning Dynamics2 citations · 2020