Papers
8
Total Citations
129
H-Index
6
About
Hamal Marino’s research sits at the intersection of robotics, biomechanics, and control theory, with a focus on understanding and replicating human dexterity in machines. His major contributions include developing a data-driven kinematic model of the human hand using MRI data, which compensates for soft-tissue artifacts and enables accurate grasp synergy analysis—a foundational step for designing more natural robotic hands. In locomotion, Marino pioneered an efficient method for generating walking gaits in bipedal robots with elastic joints, using principal component analysis to reduce the computational burden of numerical optimization, directly addressing a key bottleneck in real-time robot control. His work on high-level planning for multi-object manipulation unifies diverse tasks like pick-and-place and object passing, advancing autonomous manufacturing systems. With over 130 citations across his most influential papers, Marino’s research has been recognized for bridging neuroscience and robotics, notably through his co-edited volume *Human and Robot Hands*. His achievements include contributions to controllability analysis for multi-robot formations and motion planning for constrained systems, demonstrating a rare ability to translate complex theoretical insights into practical robotic capabilities.
Research Focus
Key Achievements
Top Papers
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- 5Controllability analysis of a pair of 3D Dubins vehicles in formation9 citations · 2016
- 6Motion planning for two 3D-Dubins vehicles with distance constraint7 citations · 2012
- 7Multi-object handling for robotic manufacturing5 citations · 2016
- 8Data-driven human grasp movement analysis4 citations · 2016