Abhinav Saxena

Institute of Technical Education, Medi-Caps University, Rajiv Gandhi Technical University

Papers

Total Citations

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About

Abhinav Saxena is a robotics researcher whose work focuses on autonomous systems, swarm intelligence, and human-robot interaction. His most influential contribution is the "Human Following Robot" (2021), which addresses key challenges in robot control algorithms, human target detection, and obstacle avoidance—technologies vital for applications in manufacturing, logistics, and everyday assistance. This paper has earned 13 citations, reflecting its relevance to the growing field of collaborative robotics. Earlier, Saxena explored collective robotics in "Collective collaboration for optimal path formation and goal hunting through swarm robot" (2014), where he proposed a master-slave swarm architecture inspired by biological systems to achieve efficient path planning and object hunting, garnering 6 citations. His foundational work, "A new generation grid solver Robot system for object picking using shortest path" (2012), tackled industrial automation by designing a cost-effective robotic system for repetitive tasks, reducing human fatigue and operational expenses. Across his career, Saxena has demonstrated a commitment to solving real-world problems through scalable, bio-inspired robotic solutions, making him a notable contributor to the advancement of autonomous and swarm robotic systems.