Nicola Piccinelli
Papers
19
Total Citations
200
H-Index
8
About
Nicola Piccinelli is a robotics researcher whose work spans bilateral teleoperation, surgical robotics, and autonomous motion planning — fields where precision, safety, and real-time control are paramount. His most significant contributions center on the development of energy-based passivity frameworks for teleoperation systems, most notably the two-layer architecture extended to multi-master-multi-slave configurations using shared energy tanks. This line of work, which addresses critical challenges such as communication delay and system stability, has garnered over 50 citations across multiple publications and represents a meaningful advancement over single-master-single-slave paradigms. Piccinelli has also made notable strides in semi-autonomous surgical robotics, proposing cognitive architectures and statechart-based procedure modeling that intelligently blend data-driven and top-down approaches for operating room applications. His adoption of nonlinear and linear Model Predictive Control in both teleoperation and mobile robot motion planning further demonstrates his versatility across control methodologies. Additional work on cloud-edge orchestration of ROS-based robotic applications highlights his interest in scalable deployment infrastructure. With over 150 total citations and research touching on some of the most demanding application domains in robotics, Piccinelli's profile reflects a productive and technically rigorous research trajectory with strong real-world relevance.
Research Focus
Key Achievements
Top Papers
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- 4Two-Layer-Based Multiarms Bilateral Teleoperation Architecture17 citations · 2022
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- 10Velocity obstacle-based trajectory planner for anthropomorphic arms7 citations · 2023