Papers
4
Total Citations
23
H-Index
3
About
B. Kimiaghalam is a robotics researcher whose work focuses on intelligent control systems for autonomous navigation and bipedal locomotion. His research spans two primary domains: biologically inspired robot navigation and humanoid walking control. In mobile robotics, Kimiaghalam developed reactive, real-time behaviors that allow robots to navigate unknown environments without prior maps, using fuzzy logic controllers to emulate stimulus-response mechanisms. His multi-layered multi-fuzzy inference system enabled miniature robots like Khepera to successfully traverse cluttered spaces and narrow hallways. Notably, his work on goal-seeking with obstacle avoidance provided practical implementations combining MATLAB and Visual C++ for the Pioneer DX robot platform. In humanoid robotics, Kimiaghalam introduced an innovative approach combining Truncated Fourier Series with genetic algorithms for biped locomotion control—an alternative to traditional Zero Moment Point methods that require precise modeling and high-gain actuation. This work, his most cited with 11 citations, addresses fundamental challenges in achieving stable, natural walking in humanoid robots. His cumulative body of work, totaling over 20 citations, demonstrates a consistent focus on creating adaptive, computationally efficient control strategies that enable robots to operate autonomously in real-world environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Reactive real time behavior for mobile robots in unknown environments6 citations · 2004
- 3
- 4Goal seeking with obstacle avoidance behavior for mobile robots3 citations · 2006