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Dijkstra's algorithm adapted for robot navigation with provable guarantees

Researchers have developed a novel approach to online stochastic shortest path navigation for mobile robots, leveraging Dijkstra's algorithm under specific conditions. The proposed DORA (Dijkstra Oracle Reduced-cost Algorithm) learner utilizes a shortest path oracle a fixed number of times per episode, avoiding the need to estimate transition kernels. Numerical experiments demonstrated that DORA matches optimistic value iteration in performance across various benchmarks while significantly reducing computational work and minimizing contacts with dynamic obstacles. AI

IMPACT This research could lead to more efficient and safer navigation systems for autonomous robots in complex environments.

RANK_REASON The cluster contains an academic paper detailing a new algorithm and its experimental validation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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Dijkstra's algorithm adapted for robot navigation with provable guarantees

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The cluster contains an academic paper detailing a new algorithm and its experimental validation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Mansur M. Arief, Ali Akarma, Ahmad Alfan Alfian Irfan ·

    Dijkstra as an Oracle for Online Stochastic Shortest Path Navigation with Provable Guarantees

    arXiv:2608.17703v1 Announce Type: cross Abstract: Mobile robots that operate in side by side with humans and critical facilities must reach their goals at low cost, despite often unknown true traversal costs of the map apriori and imperfect actuation. Planners that solve the unde…