Saroj Kumar Pradhan

About

Saroj Kumar Pradhan is a distinguished researcher whose work centers on mobile robotics, autonomous navigation, and computational intelligence. With a career spanning over a decade of influential contributions, Pradhan has established himself as a leading authority in multi-robot path planning and motion control systems. His foundational research introduced fuzzy logic and neuro-fuzzy techniques for robot navigation, with his 2008 paper on fuzzy logic techniques for mobile robots accumulating 153 citations — a testament to its lasting influence on the field. His pioneering 2006 work on potential field methods laid critical groundwork for multi-robot coordination strategies still referenced today. Pradhan's research evolution reflects a sophisticated embrace of bio-inspired and swarm intelligence algorithms. His hybrid PSO-DV algorithm for multi-robot path planning in cluttered environments (136 citations) demonstrated significant advances in solving complex navigation challenges. Later work hybridizing Invasive Weed Optimization with Firefly algorithms and incorporating oppositional-based learning further showcased his commitment to developing increasingly robust, adaptive solutions for dynamic environments. Across his portfolio, Pradhan has consistently addressed the fundamental challenge of coordinating multiple autonomous agents efficiently and safely — a problem of growing importance as robotics applications expand into real-world, unpredictable settings. His cumulative citation record underscores his meaningful and enduring impact on autonomous systems research.

Research Focus

Key Achievements

Top Papers

1. 1
   Fuzzy logic techniques for navigation of several mobile robots

   153 citations · 2008
2. 2
   A hybrid improved PSO-DV algorithm for multi-robot path planning in a clutter environment

   136 citations · 2016
3. 3
   Potential field method to navigate several mobile robots

   44 citations · 2006
4. 4
   Neuro-fuzzy technique for navigation of multiple mobile robots

   41 citations · 2006
5. 5
   The stable and precise motion control for multiple mobile robots

   40 citations · 2008
6. 6
   Hybridizing Invasive Weed Optimization with Firefly Algorithm for Multi-Robot Motion Planning

   39 citations · 2017
7. 7
   Artificial Immune System Based Path Planning of Mobile Robot

   30 citations · 2012
8. 8
   Navigation Of Multiple Mobile Robots Using Rule-Based-Neuro-Fuzzy Technique

   29 citations · 2007
9. 9
   Hybridization of IWO and IPSO for mobile robots navigation in a dynamic environment

   27 citations · 2017
10. 10
    Optimal path planning for mobile robots using oppositional invasive weed optimization

    22 citations · 2018

Key Collaborators

Contact & Links