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SMART-3D: Three-Dimensional Self-Morphing Adaptive Replanning Tree

arXiv 2509.16812 ↗First posted 20 Sep 2025cs.RO cs.AI cs.SYcited by 0

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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

  1. 2019CARE: Cooperative Autonomy for Resilience and Efficiency of Robot Teams for Complete Coverage of Unknown Environments under Robot Failurescited by 4
  2. 2020ε^*+: An Online Coverage Path Planning Algorithm for Energy-constrained Autonomous Vehiclescited by 4
  3. 2020CT-CPP: Coverage Path Planning for 3D Terrain Reconstruction Using Dynamic Coverage Treescited by 4
  4. 2023SMART: Self-Morphing Adaptive Replanning Treecited by 4
  5. 2019Rapid Path Planning for Dubins Vehicles under Environmental Currentscited by 3
  6. 2024Generalized Multi-Speed Dubins Motion Modelcited by 3
  7. 2025C*: A Coverage Path Planning Algorithm for Unknown Environments using Rapidly Covering Graphscited by 3
  8. 2025SMART-OC: A Real-time Time-risk Optimal Replanning Algorithm for Dynamic Obstacles and Spatio-temporally Varying Currentscited by 1

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