日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

経路計画arXiv:1009.4787

C-PRM経路のハイブリッド化による非ホロノミック運動の品質向上

Improving the Quality of Non-Holonomic Motion by Hybridizing C-PRM Paths

シェア:XThreadsFacebookLINEはてブBluesky

C-PRMと経路ハイブリッド化を組み合わせ、経路長・滑らかさ・クリアランス・後退回数などの品質指標を考慮した高品質な非ホロノミック(車両型)運動経路を生成する手法を提案した。

著者: Itamar Berger, Bosmat Eldar, Gal Zohar, Barak Raveh, Dan Halperin

分類: cs.RO

原文アブストラクト

Sampling-based motion planners are an effective means for generating collision-free motion paths. However, the quality of these motion paths, with respect to different quality measures such as path length, clearance, smoothness or energy, is often notoriously low. This problem is accentuated in the case of non-holonomic sampling-based motion planning, in which the space of feasible motion trajectories is restricted. In this study, we combine the C-PRM algorithm by Song and Amato with our recently introduced path-hybridization approach, for creating high quality non-holonomic motion paths, with combinations of several different quality measures such as path length, smoothness or clearance, as well as the number of reverse car motions. Our implementation includes a variety of code optimizations that result in nearly real-time performance, and which we believe can be extended with further optimizations to a real-time tool for the planning of high-quality car-like motion.

関連論文

  1. 1Boston Dynamics、車輪付きAtlasの研究試作機を紹介研究・技術
  2. 2GXOとApptronik、Apolloの物流現場試験を拡大 最大1,000台の展開を構想量産・展開
  3. 3newmoとKDDIが資本業務提携 2028年に堺市で自動運転タクシー商用化目指す提携・買収
  4. 4NVIDIA、CoRLでGR00T 2とIsaac Lab 3.0を発表新製品・発表
  5. 5UC BerkeleyとNVIDIAの研究者、AIエージェントでロボット制御コードを仮想環境で改善研究・技術

PR・アフィリエイト広告

FRONTIER(GPU搭載BTOパソコン)

FRONTIER(GPU搭載BTOパソコン)の公式広告バナーFRONTIERでGPU搭載PCを見る ↗
PR本紙発行元 EmplifAI