Papers
2
Total Citations
4
H-Index
2
About
Yongzhen Guo is a researcher whose work bridges the critical intersection of robotics and gerontechnology. In robotics, Guo has made significant contributions to autonomous navigation, notably through a 2020 paper on robust model predictive control (MPC) for nonholonomic robots. This work introduced a novel algorithm that uses polyhedral over-approximations to reformulate moving obstacle avoidance constraints, enabling safer and more reliable robot motion in dynamic environments—a key challenge in autonomous systems. On the digital health front, Guo’s 2025 scoping review on digital health products for community-dwelling older adults synthesizes emerging evidence on technology-supported aging, addressing a growing societal need. While citation counts are modest (2 each), these works represent foundational contributions in their respective fields. Guo’s dual focus on robotic control and digital health demonstrates a unique ability to apply engineering solutions to real-world human challenges, positioning them as a versatile researcher with potential for high-impact work in assistive robotics and aging-in-place technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robust MPC for Nonholonomic Robots with Moving Obstacle Avoidance2 citations · 2020