Max Robotics — Global Service Robot Directory + US Certification

About

Haigang Deng is a robotics researcher whose work centers on autonomous navigation and path planning for mobile robots. His primary contributions lie in developing intelligent, energy-efficient algorithms that enable robots to navigate complex environments safely and smoothly. Deng's most influential paper, "Improved Dynamic Windows Approach Based on Energy Consumption Management and Fuzzy Logic Control for Local Path Planning of Mobile Robots" (2023), has garnered 63 citations, highlighting its impact on practical, real-time obstacle avoidance. He further advanced the field with a global path planning method using an improved BSGA* algorithm, which addresses critical limitations of the classic A* algorithm—such as long computation times and poor path smoothness—specifically for differential drive mobile robots. Most recently, Deng proposed a dynamically hybrid approach that integrates enhanced A-star with the dynamic windows approach, achieving seamless global-to-local navigation. His work is notable for its focus on energy consumption management, a key factor for autonomous systems. Deng's research is essential reading for students and engineers working on mobile robotics, offering practical solutions for efficient and robust robot navigation.