Papers
2
Total Citations
34
H-Index
2
About
Luchao Pang is a robotics researcher whose work focuses on autonomous exploration and active simultaneous localization and mapping (SLAM) for mobile robots operating in unknown environments. His key contributions address the fundamental challenge of enabling robots to intelligently navigate and map large-scale spaces without relying on pre-existing maps or manual guidance. In his most-cited work, "Autonomous Exploration and Map Construction of a Mobile Robot Based on the TGHM Algorithm" (2020, 28 citations), Pang introduced a novel algorithm that significantly reduces the workload associated with constructing environment maps in new, large-scale settings. He further advanced the field with "Active SLAM Based on Geometry Rules and Forward Simulation in Exploration Space" (2018, 6 citations), where he tackled the computational complexity of frontier-based exploration algorithms in structured environments. By proposing geometry-based rules and forward simulation techniques, Pang’s work offers more efficient solutions for real-time robotic navigation. His research is particularly valuable for applications in search-and-rescue, autonomous inspection, and service robotics, where rapid and reliable map construction is critical.
Research Focus
Key Achievements
Top Papers
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