Azhar Baharuddin
Papers
1
Total Citations
8
H-Index
1
About
Azhar Baharuddin is a robotics researcher whose work centers on human-robot interaction and autonomous navigation systems. His most influential contribution, "Real-Time Obstacle Avoidance for Humanoid-Controlled Mobile Platform Navigation" (2017, 8 citations), pioneers a novel approach to integrating humanoid robots with mobile platforms for dynamic environment traversal. By leveraging the NAO robot’s versatile movement capabilities, Baharuddin developed a simple yet effective programming algorithm that enables real-time steering and obstacle avoidance—a key advancement in assistive robotics and autonomous mobility. This work demonstrates his focus on practical, low-complexity solutions for humanoid control, bridging the gap between theoretical robotics and real-world deployment. While his citation count reflects a niche but growing impact, Baharuddin’s research holds promise for applications in rehabilitation, service robotics, and human-robot collaboration. His approach to using accessible platforms like NAO underscores a commitment to scalable, cost-effective innovation. For students and researchers exploring humanoid navigation, Baharuddin’s work offers a foundational example of how minimal computational overhead can achieve robust, real-time performance in constrained environments.
Research Focus
Key Achievements
Top Papers
- 1