Longxiang Guo
Papers
1
Total Citations
15
H-Index
1
About
Longxiang Guo is a pioneering researcher at the intersection of human-robot interaction and intelligent vehicle systems, with a core focus on wearable sensing and intent-driven control. His most cited work, "Hands-Free Maneuvers of Robotic Vehicles via Human Intentions Understanding Using Wearable Sensing" (2018, 15 citations), addresses a critical challenge in autonomous vehicle design: enabling seamless human intervention without traditional steering wheels or pedals. Guo’s key contribution lies in developing wearable sensor frameworks that decode driver intentions—such as body gestures or subtle movements—to allow intuitive, hands-free maneuvering of robotic vehicles. This work bridges the gap between full automation and necessary human oversight, enhancing safety and adaptability in semi-autonomous systems. By prioritizing natural human-machine communication over manual controls, Guo’s research has implications for assistive driving, logistics, and accessible transportation. His approach not only advances robotic vehicle functionality but also redefines how humans interact with increasingly automated environments, making his contributions foundational for future studies in intent-aware robotics and wearable interfaces.
Research Focus
Key Achievements
Top Papers
- 1