Arturo Buscarino
Papers
9
Total Citations
192
H-Index
7
About
Arturo Buscarino is a leading figure in nonlinear dynamics and robotics, whose work bridges complex systems theory with practical engineering applications. His research focuses on distributed control, chaos-based motion planning, and human-machine interaction for medical robotics. Buscarino pioneered the use of dynamical network models for decentralized robot coordination, demonstrating how local interactions can achieve global control without central supervision—a concept that has garnered over 75 citations. He is also known for applying chaos to motion control, such as generating random-like trajectories for exploration robots and synchronizing teams via mirroring paradigms, with his 2007 paper on chaotic microrobot actuation receiving 40 citations. More recently, he has advanced teleoperated medical robotics, developing force-feedback systems for remote ultrasound scans to enhance physician precision and patient safety. His 2020 and 2022 works on this topic have collectively accumulated over 35 citations, reflecting growing interest in pandemic-driven telehealth solutions. Buscarino authored the influential textbook *Essentials of Nonlinear Circuit Dynamics with MATLAB® and Laboratory Experiments*, which has served as a key resource for students and researchers since 2005. With over 180 total citations across his most-cited works, his contributions continue to shape the fields of nonlinear circuits, swarm robotics, and medical automation.
Research Focus
Key Achievements
Top Papers
- 1Dynamical network interactions in distributed control of robots75 citations · 2006
- 2CHAOS DOES HELP MOTION CONTROL40 citations · 2007
- 3Force Feedback Assistance in Remote Ultrasound Scan Procedures19 citations · 2020
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- 6Chaotic mimic robots10 citations · 2010
- 7
- 8Microrobots in Micromachines7 citations · 2022
- 9Human Machine Models for Remote Control of Ultrasound Scan Equipment4 citations · 2020