Papers
26
Total Citations
503
H-Index
14
About
Edoardo Lamon is a leading researcher in human-robot collaboration, focusing on developing intelligent, adaptive systems for industrial and manufacturing environments. His work centers on capability-aware role allocation, ergonomic task planning, and mobile manipulation, enabling seamless coordination between human workers and robotic agents. Lamon’s major contributions include frameworks that dynamically assign roles and plan tasks in mixed human-robot teams, as demonstrated in his highly cited 2019 paper on capability-aware role allocation for industrial assembly (72 citations) and his 2023 ergonomic role allocation framework (64 citations). He also pioneered the MOCA-MAN system, a mobile and reconfigurable collaborative robot assistant that combines mobile manipulators with supernumerary limbs, and developed unified control approaches for hybrid motion and loco-manipulation. His work on mixed-case palletizing and autonomous pallet jack transportation addresses real-world logistics challenges, while his augmented reality interface enhances human-robot interaction. With over 350 total citations across his top papers, Lamon’s research has significantly advanced the efficiency, safety, and adaptability of collaborative robotics in industry, earning him recognition as a key innovator in the field.
Research Focus
Key Achievements
Top Papers
- 1A Capability-Aware Role Allocation Approach to Industrial Assembly Tasks72 citations · 2019
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