SMART-3D: Three-Dimensional Self-Morphing Adaptive Replanning Tree
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Abstract (arXiv)
This paper presents SMART-3D, an extension of the SMART algorithm to 3D environments. SMART-3D is a tree-based adaptive replanning algorithm for dynamic environments with fast moving obstacles. SMART-3D morphs the underlying tree to find a new path in real-time whenever the current path is blocked by obstacles. SMART-3D removed the grid decomposition requirement of the SMART algorithm by replacing the concept of hot-spots with that of hot-nodes, thus making it computationally efficient and scalable to 3D environments. The hot-nodes are nodes which allow for efficient reconnections to morph the existing tree to find a new safe and reliable path. The performance of SMART-3D is evaluated by extensive simulations in 2D and 3D environments populated with randomly moving dynamic obstacles. The results show that SMART-3D achieves high success rates and low replanning times, thus highlighting its suitability for real-time onboard applications.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 8 of its 48 references that are in the map. First posted on arXiv 20 Sep 2025.
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References · 8
- 2019CARE: Cooperative Autonomy for Resilience and Efficiency of Robot Teams for Complete Coverage of Unknown Environments under Robot Failurescited by 4
- 2020ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehiclescited by 4
- 2020CT-CPP: Coverage Path Planning for 3D Terrain Reconstruction Using Dynamic Coverage Treescited by 4
- 2023SMART: Self-Morphing Adaptive Replanning Treecited by 4
- 2019Rapid Path Planning for Dubins Vehicles under Environmental Currentscited by 3
- 2024Generalized Multi-Speed Dubins Motion Modelcited by 3
- 2025C*: A Coverage Path Planning Algorithm for Unknown Environments using Rapidly Covering Graphscited by 3
- 2025SMART-OC: A Real-time Time-risk Optimal Replanning Algorithm for Dynamic Obstacles and Spatio-temporally Varying Currentscited by 1
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