Papers

11

Total Citations

172

H-Index

8

About

Gonzalo Garcia is a robotics and control systems researcher whose work spans mobile robot navigation, reinforcement learning-based control, and bioinspired underwater propulsion. He has made significant contributions to the field of nonholonomic mobile robots, developing novel closed-loop control strategies for point stabilization that manipulate linear and angular velocities to guide robots from arbitrary positions to target points — work that has garnered 41 citations since 2019. Garcia has been a pioneer in applying reinforcement learning to autonomous vehicle control, recognizing early its potential to overcome limitations of classical control systems, with related publications accumulating nearly 40 additional citations. His research extends to spherical robots, including both simulation environments like CoppeliaSim and real hardware implementations using pendulum-based internal mechanisms. Notably, Garcia has also explored bioinspired underwater propulsion, investigating thrust scaling and collision avoidance using elongated fin mechanisms modeled after fish locomotion. His commitment to education is evident in his development of an online virtual control laboratory for mobile robots. More recently, his work on multi-agent deep reinforcement learning for cooperative formation control reflects his expanding vision for intelligent, collaborative autonomous systems.

Research Focus

Key Achievements

8
H-Index
11
Papers
172
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Simulation and Experimental Results of a New Control Strategy For Point Stabilization of Nonholonomic Mobile Robots
41 citations · 2019
📈 Most Prolific Year: 2023 (3 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Florida Atlantic University, Pontificia Universidad Católica de Valparaíso, Virginia Commonwealth University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago