Maulin Joshi

Sardar Vallabhbhai National Institute of Technology Surat

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About

Maulin Joshi is a distinguished researcher specializing in autonomous robotics, intelligent navigation systems, and human-like decision intelligence — fields at the intersection of artificial intelligence and mobile robotics. Over more than a decade of sustained contributions, Joshi has pioneered the application of fuzzy logic and neuro-fuzzy systems to solve complex real-world navigation challenges, enabling robots and autonomous vehicles to mimic human-like reasoning and expertise. His foundational work began with fuzzy-based autonomous robot navigation (2009), which established a framework for behavior-based control of mobile robots. Building on this, his neuro-fuzzy navigation systems (2010, 2016) demonstrated how machines could learn and apply human expertise to develop sophisticated autonomous strategies — work that collectively garnered nearly 40 citations and remains widely referenced in the robotics community. His most impactful contribution, a human-like decision intelligence framework for obstacle avoidance in autonomous vehicle parking (2021), has already accumulated 36 citations, reflecting its timeliness and relevance to the rapidly evolving autonomous vehicle industry. With over 86 cumulative citations across his key works, Joshi's research offers students and engineers alike a valuable roadmap for designing intelligent, adaptive autonomous systems grounded in human-inspired computational models.