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Open-Source, Cost-Aware Kinematically Feasible Planning for Mobile and Surface Robotics

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arxiv 2401.13078 v2 pith:IVISVPSL submitted 2024-01-23 cs.RO

classification cs.RO
keywords planningcost-awareplannersmacacrossfeasibleframeworkkinematically
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We present Smac Planner, an openly available, search-based planning framework that addresses the critical need for kinematically feasible path planning across diverse robot platforms. Smac Planner provides high-performance implementations of Cost-Aware A*, Hybrid-A*, and State Lattice planners that can be deployed for Ackermann, legged, and other large non-circular robots. Our framework introduces novel "Cost-Aware" variations that significantly improve performance in complex environments common to mobile robotics while maintaining kinematic feasibility constraints. Integrated as the standard planning system within the popular ROS 2 Navigation stack, Nav2, Smac Planner now powers thousands of robots worldwide across academic research, commercial applications, and field deployments.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Holistic Construction Automation with Modular Robots: From High-Level Task Specification to Execution

    cs.RO 2024-12 conditional novelty 6.0 of 10

    A BIM-driven multiobjective optimizer selects task-specific modular robot arms, and the chosen configurations drilled sandstone bricks autonomously with roughly 1 cm repeatability.

  2. The First WARA Robotics Mobile Manipulation Challenge -- Lessons Learned

    cs.RO 2025-05 unverdicted novelty 2.0 of 10

    Four university teams developed mobile manipulation systems for lab glassware transport and dishwasher loading; the paper reports their approaches and lessons for future challenge editions.

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