Tiantian Yang

China Academy Of Machinery Science & Technology (China), China South Industries Group (China)

Papers

Total Citations

H-Index

About

Tiantian Yang is a robotics researcher whose work centers on autonomous mobile systems, with a particular focus on energy-efficient motion planning and robotic navigation. Yang's most significant contribution to the field is a comprehensive survey of energy-efficient motion planning for wheeled mobile robots, published in 2020 and accumulating 35 citations — a testament to its value as a foundational reference for researchers tackling the challenge of extending robot operational endurance in outdoor environments. This work systematically maps the state-of-the-art in minimizing energy consumption, a critical concern as mobile robots are deployed in increasingly demanding real-world missions with limited power supplies. Building on this foundation, Yang also contributed to the development of a simulation framework integrating CoppeliaSim and ROS, providing researchers and developers with a robust testing environment for autonomous navigation algorithms before real-world deployment — work that has garnered 11 citations since its 2021 publication. Together, these contributions position Yang as a thoughtful contributor to practical robotics research, bridging theoretical planning approaches with the simulation infrastructure needed to validate and advance autonomous robotic systems safely and efficiently.