Jiahao Hu

East China University of Science and Technology, Tongji University

Papers

Total Citations

H-Index

About

Jiahao Hu is a researcher specializing in autonomous robotics and industrial robot precision. His work addresses two critical challenges in modern robotics: enabling mobile robots to navigate unknown environments without human guidance, and improving the stiffness accuracy of industrial serial robots. Hu's most influential paper, "Autonomous Exploration and Map Construction of a Mobile Robot Based on the TGHM Algorithm" (2020, 28 citations), introduces an algorithm that allows mobile robots to autonomously explore and map large-scale environments—eliminating the need for manual guidance or a priori maps. This contribution is vital for applications in search-and-rescue, warehouse logistics, and planetary exploration. In complementary work, "Joint stiffness identification of industrial serial robots using 3D digital image correlation techniques" (2021, 14 citations) presents a novel method for measuring joint stiffness, a critical factor limiting the precision of industrial robots in manufacturing. By enabling accurate stiffness identification, Hu's research supports posture adjustment and compensation strategies that enhance robotic accuracy. Together, these contributions position Hu as a promising voice in both autonomous navigation and robotic precision engineering.