Carlos Lima
Papers
1
Total Citations
2
H-Index
1
About
Carlos Lima is a researcher in robotics and autonomous systems, with a particular focus on intelligent navigation and control strategies for mobile robots. His work centers on the integration of fuzzy logic and potential field methods to enable real-time decision-making in dynamic environments. In his notable 2013 paper, "Velocity and direction planning in a sumo robot type using the method of potential field with fuzzy systems," Lima proposed a novel approach for autonomous navigation that allows a robot to simultaneously track a moving target while avoiding static obstacles. This work, which has garnered 2 citations, demonstrates his ability to address complex challenges in robot motion planning, particularly in competitive or constrained settings like sumo robotics. By combining fuzzy systems with potential field theory, Lima has contributed to more adaptive and robust control architectures, laying groundwork for further advances in autonomous vehicle and robotic competition applications. His research continues to inspire students and engineers interested in intelligent, real-time robotic behavior.
Research Focus
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Top Papers
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