Papers
23
Total Citations
279
H-Index
11
About
Michele Rucci is a pioneering researcher at the intersection of robotics, neuroscience, and sensorimotor systems, whose work has significantly advanced our understanding of how biological principles can inform the design of autonomous machines. His research spans biologically inspired robotics, active vision, multisensory integration, and adaptive sensorimotor coordination, drawing inspiration from natural systems — most notably the barn owl — to engineer more capable and flexible robotic platforms. Rucci's most influential contributions include developing robotic systems that replicate human and animal eye movement strategies for active distance estimation and target localization, demonstrating how coordinated head and eye movements yield rich three-dimensional environmental information. His collaborative work bridging robotics and neuroscience established a compelling bidirectional framework: biological systems inspire robotic design, while robotic models serve as testbeds for neuroscientific hypotheses. His research on disassembly automation also addressed pressing ecological concerns around product lifecycle management, an often-overlooked frontier in industrial robotics. With his most cited work accumulating tens to hundreds of citations across diverse venues, Rucci's scholarship has proven foundational for students and researchers working in autonomous systems, computational neuroscience, and human-robot interaction. His career exemplifies how cross-disciplinary thinking can yield insights that neither robotics nor biology could achieve independently.
Research Focus
Key Achievements
Top Papers
- 1Adaptation of orienting behavior: from the barn owl to a robotic system34 citations · 1999
- 2An approach to disassembly problems in robotics25 citations · 2002
- 3
- 4Integrating robotics and neuroscience: brains for robots, bodies for brains21 citations · 2007
- 5Robust localization of auditory and visual targets in a robotic barn owl21 citations · 2000
- 6Active Vision During Coordinated Head/Eye Movements in a Humanoid Robot20 citations · 2012
- 7An investigation on a robot system for disassembly automation19 citations · 2002
- 8Integrating Selective Attention and Space-Variant Sensing in Machine Vision16 citations · 1996
- 9Autonomous learning of tactile-motor coordination in robotics12 citations · 2002
- 10Learning visuo-tactile coordination in robotic systems11 citations · 2002