Papers
18
Total Citations
227
H-Index
8
About
Edgar Alfredo Portilla-Flores is a prominent researcher specializing in mechatronic systems design, evolutionary optimization, and robotics. His work is particularly distinguished by its integration of advanced metaheuristic algorithms — including differential evolution and particle swarm optimization — with structural and control design challenges in complex robotic and mechatronic systems. Portilla-Flores has made foundational contributions to the field of concurrent mechatronic design, developing robust methodologies that simultaneously optimize mechanical structure and control parameters. His 2012 paper on robust structure-control design for mechatronic systems (44 citations) and his 2010 work on differential evolution for a five-bar parallel robot (32 citations) are cornerstones in this area, demonstrating how nonlinear dynamic optimization problems can be effectively solved using evolutionary approaches. Beyond structural design, his research extends into human-machine interfaces, inverse kinematics, and rehabilitation robotics. His 2020 EOG-based neural network interface for manipulator trajectory tracking (25 citations) highlights his commitment to assistive technologies for people with disabilities. Earlier contributions include an anthropomorphic robotic jaw design and omnidirectional mobile robot optimization, reflecting impressive breadth across robotics subfields. With a body of work spanning over 15 years and accumulating nearly 200 citations, Portilla-Flores represents a rigorous and innovative voice in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1Robust Structure-Control Design Approach for Mechatronic Systems44 citations · 2012
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- 8Chew on this: Design of a 6DOF anthropomorphic robotic jaw10 citations · 2007
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