Yanqiang Zhang
Papers
2
Total Citations
22
H-Index
2
About
Yanqiang Zhang is a robotics researcher focused on assistive technologies for individuals with mobility impairments, particularly through the development of wheelchair-mounted robotic arms (WMRAs). His key research areas include human-robot interaction, computer vision, and assistive grasping. Zhang’s major contribution lies in pioneering laser-point-based interaction methods that enable users to intuitively command robotic arms by simply pointing a laser at target objects. His most cited work, “Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms” (2019, 20 citations), demonstrates a practical system that allows unambiguous object selection and pickup, addressing critical usability challenges in home environments. In related work (2018, 2 citations), he improved target matching algorithms to enhance real-time performance and interaction reliability. Zhang’s research directly tackles the pressing needs of an aging population, offering a low-cost, intuitive interface that bridges the gap between human intent and robotic action. His achievements include developing robust laser-point detection methods that function effectively in cluttered, dynamic home settings, significantly advancing the practicality of assistive robotics for daily living tasks.
Research Focus
Key Achievements
Top Papers
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- 2