Angelo Marcelli
Papers
4
Total Citations
29
H-Index
4
About
Angelo Marcelli is a leading researcher at the intersection of robotics, neuroscience, and human movement science. His work primarily focuses on understanding and replicating the neural and cognitive mechanisms that enable humans to perform fine, adaptive movements—a field he advances through neurocomputational modeling and neurorobotics. Marcelli’s major contributions include pioneering an evolutionary approach to time-optimal control of robotic manipulators, which has garnered 12 citations and offers novel solutions for efficient robot motion planning. He has also made significant strides in human-robot collaboration, demonstrating through his 2023 study (7 citations) that humans can recognize natural, human-like movements in robots, a crucial factor for building trust and acceptance in shared workspaces. His comprehensive 2024 review (6 citations) synthesizes current knowledge on upper-limb movement understanding, bridging gaps between roboticists and neuroscientists. Additionally, Marcelli explores graphonomics for e-citizens, applying handwriting analysis to e-health, e-society, and e-education. His work is notable for its interdisciplinary impact, directly informing the design of more intuitive and accepted robotic systems for real-world collaboration.
Research Focus
Key Achievements
Top Papers
- 1An Evolutionary Approach to Time-Optimal Control of Robotic Manipulators12 citations · 2019
- 2Observation vs. interaction in the recognition of human-like movements7 citations · 2023
- 3
- 4Graphonomics for the e-citizens: e-health, e-society and e-education4 citations · 2018