C. Puneeth

Papers

Total Citations

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About

C. Puneeth is a researcher specializing in robotics, artificial intelligence, and autonomous navigation systems. Their most cited work, "Navigation of non-holonomic mobile robot using neuro-fuzzy logic with integrated safe boundary algorithm" (2017, 31 citations), introduces a novel hybrid approach that combines neuro-fuzzy logic with a safe boundary algorithm to enhance the path planning and obstacle avoidance capabilities of non-holonomic mobile robots. This contribution addresses critical challenges in real-time robot navigation, balancing efficiency and safety in dynamic environments. Puneeth's research integrates computational intelligence techniques with practical robotic systems, offering robust solutions for autonomous mobility. The paper's citation count reflects its relevance and utility in advancing mobile robot control, particularly in applications requiring adaptive decision-making under uncertainty. By merging fuzzy logic's interpretability with neural networks' learning capacity, Puneeth has provided a foundational framework that continues to influence studies in intelligent robotics and control systems. Their work underscores a commitment to bridging theoretical algorithms and real-world robotic performance, making it a valuable reference for students and researchers exploring autonomous navigation and soft computing methods.