mlsanityData to 7 Oct 2026

Safe Interval Path Planning With Kinodynamic Constraints

arXiv 2302.00776 ↗First posted 1 Feb 2023cs.AI cs.ROcited by 3

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Abstract (arXiv)

Safe Interval Path Planning (SIPP) is a powerful algorithm for solving single-agent pathfinding problem when the agent is confined to a graph and certain vertices/edges of this graph are blocked at certain time intervals due to dynamic obstacles that populate the environment. Original SIPP algorithm relies on the assumption that the agent is able to stop instantaneously. However, this assumption often does not hold in practice, e.g. a mobile robot moving with a cruising speed is not able to stop immediately but rather requires gradual deceleration to a full stop that takes time. In other words, the robot is subject to kinodynamic constraints. Unfortunately, as we show in this work, in such a case original SIPP is incomplete. To this end, we introduce a novel variant of SIPP that is provably complete and optimal for planning with acceleration/deceleration. In the experimental evaluation we show that the key property of the original SIPP still holds for the modified version -- it performs much less expansions compared to A* and, as a result, is notably faster.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 5 of its 12 references that are in the map. First posted on arXiv 1 Feb 2023.

Builds on

5 of 12 references.

References · 5

  1. 2018Lifelong Path Planning with Kinematic Constraints for Multi-Agent Pickup and Deliverycited by 26
  2. 2019Prioritized Multi-agent Path Finding for Differential Drive Robotscited by 6
  3. 2021Towards Time-Optimal Any-Angle Path Planning With Dynamic Obstaclescited by 4
  4. 2020Revisiting Bounded-Suboptimal Safe Interval Path Planningcited by 3
  5. 2021Prioritized SIPP for Multi-Agent Path Finding With Kinematic Constraintscited by 2

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Cited by year

Citing papers per year: 2023: 1; 2024: 1; 2025: 1.

3 papers.