Papers
18
Total Citations
250
H-Index
8
About
Mazin Hamad is a leading researcher in physical human-robot interaction (pHRI), dedicated to solving the fundamental challenge of enabling safe, close-proximity collaboration between humans and robots. His work centers on developing frameworks and metrics that quantify and mitigate collision risks, allowing robots to operate at higher speeds without compromising human safety. Hamad’s major contributions include the creation of the "Safety Map" (65 citations), a unified representation linking biomechanical injury data to a robot’s instantaneous dynamic properties, and the "Mean Reflected Mass" metric (10 citations), which provides a physically interpretable tool for safety assessment and posture optimization. He also pioneered the "Modularize-and-Conquer" framework (17 citations) for floating-base robots and the "ILIAD Safety Stack" (11 citations) for human-aware, infrastructure-free navigation of industrial mobile robots. With over 200 total citations, his work directly addresses the performance/safety trade-off in cobot systems, enabling faster, more efficient automation in factories and logistics. Notably, his 2024 overview of safety in pHRI and his surrogate study on edged-tool injuries demonstrate his ongoing commitment to expanding safety boundaries for real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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- 4Online Payload Identification for Tactile Robots Using the Momentum Observer16 citations · 2022
- 5The Role of Robot Payload in the Safety Map Framework13 citations · 2019
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- 8A Concise Overview of Safety Aspects in Human-Robot Interaction10 citations · 2024
- 9Functional Mode Switching for Safe and Efficient Human-Robot Interaction5 citations · 2022
- 10