Tianhao Liang
Papers
1
Total Citations
4
H-Index
1
About
Tianhao Liang is a robotics researcher whose work centers on advancing human-robot interaction, particularly through autonomous navigation and person-following systems. His most-cited paper, "An Autonomous Robot for Collision-Free Person Following through Model Predictive Control" (2023, 4 citations), tackles a critical challenge in human-robot integration: enabling robots to track individuals safely in dynamic, obstacle-rich environments. Liang identifies the limitations of traditional global-local planning approaches and proposes a model predictive control framework that achieves smoother, more reliable person following while avoiding collisions. This contribution is foundational for applications in service robotics, healthcare, and collaborative manufacturing, where robots must operate seamlessly alongside humans. Though early in his career, Liang’s work demonstrates a clear focus on bridging the gap between theoretical control methods and practical robot autonomy. His research not only addresses real-world safety and efficiency concerns but also lays groundwork for more intuitive human-robot collaboration. As the demand for autonomous systems in crowded spaces grows, Liang’s innovations in collision-free navigation position him as a promising voice in the next generation of robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1