Tangle Peng

Hunan University of Science and Technology

Papers

Total Citations

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About

Tangle Peng is a researcher in autonomous systems and robotics, with a primary focus on path planning and motion control for unmanned aerial vehicles (UAVs). Their most-cited work, "A RRT path planning algorithm based on A* for UAV" (2022), addresses critical limitations in the classic Rapid-exploration Random Tree (RRT) algorithm, which is widely used for navigating non-convex, high-dimensional spaces. By integrating A* heuristics, Peng’s approach improves the efficiency and optimality of path generation for UAVs in complex environments. This contribution has garnered 4 citations, reflecting its relevance to ongoing advances in autonomous navigation. Beyond this paper, Peng’s research spans optimization techniques for real-time decision-making in robotics, aiming to enhance safety and reliability in dynamic settings. Their work is particularly valuable for students and researchers exploring hybrid algorithms that combine sampling-based planning with heuristic search. Peng’s dedication to refining foundational methods in autonomous systems underscores their role in pushing the boundaries of UAV autonomy and intelligent robotics.