Hooman Khosravi

Papers

Total Citations

H-Index

About

Hooman Khosravi’s research lies at the intersection of robotics, computer vision, and human-robot interaction, with a strong focus on creating safer and more intelligent autonomous systems. His most cited work, “Safe collaboration of humans and SCARA robots” (2016, 6 citations), introduces a novel method using a Kinect sensor’s depth data to compute real-time distances between human operators and robotic arms, enabling safer industrial collaboration. This contribution addresses a critical challenge in human-robot coexistence, offering a low-cost, vision-based solution for dynamic workspaces. In a second influential paper, “Trackerbot: A robotic surveillance system based on stereo-vision and artificial neural networks” (2016, 3 citations), Khosravi proposes a fully automatic, master-slave camera system that leverages stereo vision and neural networks for robust target tracking in indoor or outdoor environments. The system’s independence from intrinsic and extrinsic camera parameters marks a notable achievement, enhancing flexibility in surveillance applications. Though his citation counts are modest, Khosravi’s work demonstrates a clear commitment to practical, real-world robotics—blending safety, autonomy, and intelligent perception. His contributions offer valuable insights for researchers exploring vision-guided robotic systems and collaborative human-robot workspaces.