Akash Kumar

Papers

Total Citations

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About

Akash Kumar is a researcher specializing in robotics and optimization algorithms, with a particular focus on path planning for autonomous mobile robots. His most cited work, "Path Planning of Mobile Robot Using Adaptive Particle Swarm Optimization" (2022), introduces an innovative approach that enhances the efficiency and adaptability of swarm intelligence techniques for navigation in dynamic environments. By refining the particle swarm optimization algorithm to adjust parameters in real time, Kumar’s method significantly improves obstacle avoidance and energy efficiency, offering a practical solution for real-world robotic applications. Though early in his career, his contributions have already garnered attention, with the paper accumulating 3 citations—a promising start that underscores its relevance to the field. Kumar’s research bridges theoretical optimization and practical robotics, addressing critical challenges in autonomous systems. His work is particularly valuable for students and researchers exploring adaptive algorithms in robotics, as it demonstrates how evolutionary computation can be tailored to solve complex, real-time navigation problems. As he continues to develop novel techniques, Akash Kumar is poised to make further strides in intelligent robotics and optimization.