Papers
26
Total Citations
726
H-Index
14
About
Mohammad Safeea is a prominent robotics researcher whose work sits at the intersection of human-robot interaction (HRI), collaborative robotics, and safe robot motion planning. With over 580 citations across his most influential publications, Safeea has made lasting contributions to making robots smarter, safer, and more intuitive partners in human environments. His early work on gesture recognition and human behavior classification laid the groundwork for more natural HRI frameworks, enabling robots to interpret human intent through vision systems and wearable sensors. This thread culminated in his highly cited 2018 paper on gesture-based interaction for manufacturing, which has garnered 161 citations and remains a touchstone in the field. Safeea has also tackled the critical challenge of collision avoidance in shared workspaces, developing real-time minimum distance calculation methods using laser scanners and IMUs, and adapting off-line robot paths dynamically to prevent dangerous contact. His theoretical contributions extend to inverse kinematics, where his modified damped least-squares scheme elegantly addresses redundancy in robotic manipulators. More recently, Safeea has expanded into collaborative additive manufacturing and advanced sensing, including a hybrid force-proximity sensor that broadens robots' awareness of their physical environment — underscoring his commitment to building truly collaborative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Gesture-based human-robot interaction for human assistance in manufacturing161 citations · 2018
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- 6Collision Avoidance of Redundant Robotic Manipulators Using Newton’s Method29 citations · 2020
- 7End-Effector Precise Hand-Guiding for Collaborative Robots27 citations · 2017
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- 10Minimum Distance Calculation for Safe Human Robot Interaction26 citations · 2017