About

Dayal R. Parhi is a prominent robotics researcher whose work has fundamentally advanced the field of autonomous mobile robot navigation and path planning. His research spans intelligent control systems, swarm intelligence, evolutionary algorithms, and fuzzy logic, with particular emphasis on enabling robots to navigate complex, obstacle-laden environments efficiently and autonomously. Parhi's most celebrated contribution is his comprehensive 2019 review of mobile robot path planning strategies, which has garnered an remarkable 884 citations, establishing itself as an essential reference for researchers entering the field. His work systematically explores both classical and reactive navigation approaches, bridging foundational theory with cutting-edge practice. Beyond survey work, he has pioneered the application of nature-inspired algorithms — including Firefly, Cuckoo Search, and Wind Driven Optimization — to solve real-world navigation challenges, with these studies collectively accumulating hundreds of citations. His research has progressively expanded from ground-based mobile robots to humanoid robotics, developing fuzzy logic and adaptive neuro-fuzzy inference systems for bipedal navigation in obstacle-prone environments. His PSO-aided PID gait controller for humanoid robots further demonstrates his versatility across robotic platforms. With a consistently cited body of work spanning over a decade, Parhi has made enduring contributions that continue to shape autonomous robotics research globally.

Research Focus

Key Achievements

39
H-Index
178
Papers
5,420
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
A review: On path planning strategies for navigation of mobile robot
884 citations · 2019
📈 Most Prolific Year: 2018 (22 Papers)
🤝 Key Collaborators: 83
🏛 Institutions: National Institute of Technology Rourkela, Cardiff University, Voluntary Health Association Of India

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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