Max Robotics — Global Service Robot Directory + US Certification

About

Ang Liu is a robotics researcher whose work spans multi-robot systems, autonomous navigation, and indoor localization. His most cited contribution, "A Review of Path-Planning Approaches for Multiple Mobile Robots" (2022, 145 citations), has become an essential reference in the field, systematically surveying path-planning algorithms and decision-making strategies across aerial, ground, and other robotic platforms. This work reflects his deep engagement with the computational challenges of coordinating multiple autonomous agents in complex environments. Liu has also made significant strides in bioinspired robotics, exploring how biological principles from animal perception can enhance service robot operation in indoor settings, as demonstrated in his 2023 review paper. Complementing this, his research on indoor localization has produced practical sensor fusion solutions that address the persistent challenge of non-line-of-sight errors in Ultra-wideband positioning systems. His development of both loosely and tightly coupled UWB/wheel odometry fusion frameworks — employing dynamic Unscented Kalman Filtering — showcases his ability to translate theoretical insight into centimetre-level accuracy for real-world robotic navigation. Together, these contributions position Liu as a versatile and impactful voice in modern autonomous systems research.