Papers
1
Total Citations
19
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1
About
Jie Tian is a researcher in robotics and autonomous systems, with a primary focus on the kinematic modeling and trajectory planning of heavy machinery used in underground construction and mining. Their most-cited work, "Kinematic models and simulations for trajectory planning in the cutting of Spatially-Arbitrary crosssections by a robotic roadheader" (2018, 19 citations), addresses a critical challenge in automating roadheader operations—machines that excavate tunnels and mine galleries. By developing kinematic models that enable these robotic systems to cut arbitrarily shaped cross-sections with precision, Tian has contributed foundational solutions to improving safety, efficiency, and accuracy in hazardous underground environments. This work bridges robotics, mechanical engineering, and computational simulation, offering practical pathways for autonomous excavation. While their citation count reflects a specialized but growing field, the impact of their research is evident in its application to real-world tunneling and mining scenarios, where human-robot collaboration and automation are increasingly vital. Tian’s contributions are particularly notable for their integration of theoretical kinematics with actionable simulation tools, making their work a key reference for engineers and researchers advancing robotic construction technologies.
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Top Papers
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