Papers
4
Total Citations
41
H-Index
3
About
Qifeng Yang is a robotics researcher specializing in autonomous navigation, motion control, and environmental adaptation for mobile and legged robots in challenging, GPS-denied outdoor settings. His most cited work, "Mobile robot motion control and autonomous navigation in GPS-denied outdoor environments using 3D laser scanning" (2018, 22 citations), addresses the critical challenge of enabling robots to operate reliably without satellite positioning by leveraging 3D laser scanning for real-time path planning and control. Yang also contributed to legged locomotion with "A Stable Walking Strategy of Quadruped Robot Based on Foot Trajectory Planning" (2016, 11 citations), where he developed a low-impact foot trajectory method using kinematic modeling to ensure stable, impact-free movement on flat terrain. Additionally, his research on "Ground Moving Target Tracking for a Patrol Robot Based on Monocular Vision" (2017, 5 citations) tackles dynamic target tracking under monocular vision constraints, advancing real-time object detection for patrol applications. In "Mobile Robot Autonomous Navigation and Dynamic Environmental Adaptation in Large-Scale Outdoor Scenes" (2019, 3 citations), Yang further explores how robots can adapt to changing environments. With over 40 total citations, his work is foundational for field robotics, offering practical solutions for search-and-rescue, surveillance, and exploration in unstructured outdoor spaces.
Research Focus
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