Max Robotics — Global Service Robot Directory + US Certification

About

Tang Howe Hing is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, path planning, and intelligent control systems. With a career spanning over a decade, Tang has made meaningful contributions to the fields of autonomous navigation and robot sensing, particularly in complex environments. His most-cited work (2012, 10 citations) introduced a novel algorithm combining laser range finder (LRF) and vision systems to enable mobile robots to navigate road roundabout intersections autonomously — a practically significant challenge in real-world robotics deployment. This line of inquiry was extended in a 2013 study refining roundabout detection algorithms for collision-free path estimation. Tang's research portfolio also reflects a strong interest in Simultaneous Localization and Mapping (SLAM), with a 2015 review synthesizing key algorithmic approaches and a companion study on 2D occupancy grid mapping using inverse range sensor models. More recently, his 2021 work on a voice-coil actuated in-pipe mini crawler demonstrated his expanding focus toward precision actuation and disturbance rejection via iterative learning control — earning 9 citations. Early contributions include a virtual reality-based simulator for nonholonomic wheeled mobile robots, underscoring a sustained commitment to bridging simulation and real-world robotic applications.