Papers
10
Total Citations
311
H-Index
9
About
Mukesh Singh is a prominent researcher specializing in autonomous mobile robotics, with particular expertise in intelligent navigation, path optimization, and AI-driven control systems. Over more than a decade of sustained scholarship, Singh has made foundational contributions to the field of mobile robot navigation by developing and refining intelligent controllers that enable robots to operate safely in complex, real-world dynamic environments. Singh's most celebrated work centers on applying artificial neural networks, adaptive neuro-fuzzy inference systems (ANFIS), and swarm intelligence to solve challenging obstacle avoidance and path-planning problems. His 2010 paper on neural network-based path optimization alone has garnered 76 citations, while his cluster of influential 2009 publications collectively demonstrates the breadth and productivity of his research vision. Together, his top papers have accumulated over 300 citations, reflecting substantial influence on the robotics research community. Beyond controller design, Singh has contributed valuable survey literature, reviewing navigational strategies and stability analysis for wheeled mobile robots across both static and dynamic environments. His 2024 work exploring generative artificial intelligence for path planning signals his continued engagement with emerging technologies. Singh's career arc — from pioneering neuro-fuzzy controllers to embracing generative AI — illustrates a researcher consistently at the forefront of intelligent autonomous systems research.
Research Focus
Key Achievements
Top Papers
- 1
- 2ANFIS Approach for Navigation of Mobile Robots46 citations · 2009
- 3Intelligent neuro-controller for navigation of mobile robot42 citations · 2009
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- 6Navigational strategies of mobile robots: a review29 citations · 2009
- 7Navigation of multiple mobile robots using swarm intelligence18 citations · 2009
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