Max Robotics — Global Service Robot Directory + US Certification

About

Soonhac Hong is a leading researcher in assistive robotics and autonomous navigation, with a primary focus on developing intelligent mobility aids for the visually impaired. His most impactful contribution is the **Co-Robotic Cane (CRC)** , a novel robotic navigation aid that integrates a 3D camera for real-time pose estimation and object recognition in unknown indoor environments. This work, published in 2016, has garnered 76 citations and represents a significant leap in human-robot interaction for accessibility. Hong’s technical expertise is further demonstrated in his 2015 paper on 6-DOF pose estimation, which achieved 40 citations by enabling accurate wayfinding through visual and geometric feature tracking. He has also advanced visual SLAM algorithms, including a pose graph-based method using fast ICP for robust robot localization in feature-sparse settings. Extending his work to outdoor applications, Hong developed a low-cost autonomous navigation system combining stereo vision and GPS, showcasing his commitment to scalable, real-world solutions. Through these innovations, Hong has established himself as a key figure in co-robotic systems, blending computer vision, SLAM, and human-centered design to create transformative technologies that enhance independence for individuals with visual impairments.