Max Robotics — Global Service Robot Directory + US Certification

About

Aphilak Lonklang is a robotics researcher whose work centers on advancing mobile robot path planning and manipulator control. His primary contributions lie in improving the Rapidly Exploring Random Tree (RRT*) algorithm, a cornerstone of collision-free navigation. In his most cited work (21 citations), he introduced an "Improved RRT*" that incorporates bacterial mutation and node deletion, significantly enhancing offline path optimization. He further extended this to handle unknown static obstacles, a critical challenge for real-world autonomous navigation, and developed a variant that reduces random map size for greater computational efficiency. Beyond path planning, Lonklang has hands-on experience in robotic hardware, demonstrated by his prototyping of a 2-DOF robot arm with a feedback control system using DC motors and encoders. His research bridges theoretical algorithm design with practical implementation, addressing both global path planning and dynamic obstacle avoidance. With a growing citation record and a clear focus on making RRT-based algorithms more robust and efficient, Lonklang is contributing to the foundational tools that enable mobile robots to operate safely and autonomously in complex, unpredictable environments.