Papers
5
Total Citations
162
H-Index
5
About
Afzal Sikander is a leading researcher in mobile robotics, specializing in path planning, control systems, and optimization algorithms. His work addresses critical challenges in autonomous navigation, particularly in complex and industrial environments. Sikander's major contributions include the development of novel hybrid frameworks that integrate artificial bee colony algorithms with evolutionary programming, achieving significantly more efficient and collision-free paths for single and multi-robot systems. His modified probabilistic roadmap algorithm, which introduces a node-reduction strategy, directly tackles the common issues of long paths and high collision risk, earning 42 citations. With over 160 total citations across his top works, his impact is evident. Notable achievements include his 2017 work on reduced-order modeling for two-wheeled mobile robot control, which bridges theoretical control design with practical implementation. His 2022 studies on intelligent path planners in complex terrains further solidify his reputation as an innovator in making autonomous robots safer and more efficient for real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Reduced order modelling based control of two wheeled mobile robot36 citations · 2017
- 4
- 5