Papers
25
Total Citations
418
H-Index
12
About
Saroj Kumar is a prominent robotics researcher whose work sits at the intersection of intelligent control systems, autonomous navigation, and humanoid robotics. His research has made significant contributions to mobile robot path planning and navigation, developing sophisticated hybrid optimization frameworks that combine nature-inspired algorithms with intelligent controllers. Kumar's landmark 2016 paper on ANFIS-based mobile robot navigation in unknown static environments, which has garnered 75 citations, established him as an authority in adaptive neuro-fuzzy control for obstacle avoidance. He has since pioneered multiple hybridized approaches, including combinations of sine-cosine algorithms with ant colony optimization, fuzzy logic with whale optimization, and intelligent water drop algorithms with genetic programming, each advancing the field of multi-robot coordination in complex environments. Beyond mobile robotics, Kumar has made notable strides in humanoid robotics, addressing the formidable challenge of dynamic stabilization and motion planning for NAO robots using whole-body control strategies and simulated annealing. His 2022 work on fuzzy-embedded neural networks for humanoid motion further demonstrates his commitment to integrating machine learning with classical control theory. With over 300 cumulative citations across his most recognized publications, Kumar's research consistently bridges theoretical optimization with practical robotic implementation, making his work invaluable to graduate students and researchers advancing autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10