Leandro dos Santos Coelho
Pontifícia Universidade Católica do Paraná, Universidade Federal do Paraná, Universidade de Brasília
Papers
25
Total Citations
620
H-Index
13
About
Leandro dos Santos Coelho is a prominent researcher whose work sits at the crossroads of computational intelligence, robotics, and control systems optimization. His research consistently explores how nature-inspired and metaheuristic algorithms — including genetic algorithms, particle swarm optimization (PSO), and differential evolution — can solve complex engineering challenges that traditional mathematical methods struggle to address effectively. Coelho's most celebrated contribution is his 2012 work on multiobjective genetic algorithm-based PID controller tuning for robotic manipulators, which has garnered over 220 citations and established him as an authority in intelligent control design. His broader portfolio spans mobile robot path planning — notably the innovative K-Bug algorithm — humanoid robot force optimization, and nonlinear black-box system identification using neural networks, including cutting-edge applications in piezoelectric micromanipulation. His 2008 educational software tool for teaching PSO fundamentals reflects a commitment to making advanced optimization concepts accessible to students and practitioners alike. With contributions ranging from parallel manipulator optimization to hardware-implemented opposition-based PSO for robot controllers, Coelho's work has meaningfully advanced autonomous robotics and intelligent control. His collectively well-cited body of research demonstrates lasting influence across both theoretical algorithm development and practical robotic engineering applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2A software tool for teaching of particle swarm optimization fundamentals48 citations · 2008
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- 4K-Bug, A New Bug Approach for Mobile Robot's Path Planning32 citations · 2007
- 5Comparative study of SQP and metaheuristics for robotic manipulator design29 citations · 2007
- 6Hardware opposition-based PSO applied to mobile robot controllers29 citations · 2013
- 7Robust Control Systems with Genetic Algorithms27 citations · 2018
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