Michele Gabrio Antonelli
Papers
20
Total Citations
246
H-Index
9
About
Michele Gabrio Antonelli is an innovative robotics researcher whose work spans collaborative robotics, soft robotics, and human–robot interaction, with a particular focus on developing safer, more adaptive robotic systems for industrial and medical applications. His most-cited contribution — an autonomous photovoltaic panel-cleaning robot for desert environments (68 citations) — demonstrates his practical engineering vision, addressing real-world energy infrastructure challenges. Antonelli has made significant strides in soft robotics, pioneering pneumatic actuator designs inspired by biological structures such as the seahorse tail, and developing the groundbreaking SofToss system, which uses deep reinforcement learning to enable soft robots to throw life-size objects with precision (20 citations). His research into emotional intelligence for trajectory planning in collaborative robotics (28 citations) reflects a forward-thinking approach to human–robot coexistence, prioritizing operator safety through behavioral adaptation. Beyond industrial applications, his work extends into medical robotics, including a variable-stiffness grasper for minimally invasive NOTES surgery. Antonelli further contributes to the field through EMG-based robot control interfaces and neural-network-driven mechanical design methodologies, collectively establishing him as a versatile researcher shaping the future of intelligent, human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Autonomous robot for cleaning photovoltaic panels in desert zones68 citations · 2020
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- 3SofToss: Learning to Throw Objects With a Soft Robot20 citations · 2023
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