Matteo-Claudio Palpacelli
Papers
49
Total Citations
759
H-Index
16
About
Matteo-Claudio Palpacelli is an Italian robotics researcher whose work spans parallel kinematics machines, reconfigurable manipulators, bio-inspired underwater robotics, and human-robot collaboration. Based at the Università Politecnica delle Marche, his research has made significant contributions to the design and analysis of innovative robotic systems, accumulating over 440 citations across his most influential publications. Palpacelli's most recognized contributions lie in the field of reconfigurable parallel kinematic machines, with his 2014 papers garnering 120 and 68 citations respectively. These works introduced novel mechanisms capable of switching between translational and rotational mobility modes, offering remarkable flexibility for multimodal industrial tasks. His earlier foundational work on translating parallel robots and the 3-CPU parallel manipulator established key kinematic principles that underpin much of this later research. Beyond manipulation, Palpacelli has demonstrated a broader vision for robotics, developing bio-inspired autonomous underwater vehicles that emulate carangiform fish locomotion — work that has attracted growing attention since 2017. His 2021 research on adaptive obstacle avoidance reflects a forward-looking commitment to safe human-robot collaboration. Together, these contributions position him as a versatile and impactful figure in both theoretical and applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1A new class of reconfigurable parallel kinematic machines120 citations · 2014
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- 3Design of a Bio-Inspired Autonomous Underwater Robot52 citations · 2017
- 4Adaptive Obstacle Avoidance for a Class of Collaborative Robots37 citations · 2021
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- 6Details on the Design of a Lockable Spherical Joint for Robotic Applications30 citations · 2015
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- 8Prototype design of a translating parallel robot25 citations · 2008
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