日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

認知アーキテクチャarXiv:cs/0601004

皮質-基底核-視床-皮質ループの計算モデルによるナビゲーションと行動選択の統合

Integration of navigation and action selection functionalities in a computational model of cortico-basal ganglia-thalamo-cortical loops

シェア:XThreadsFacebookLINEはてブBluesky

脊椎動物の大脳基底核を模した2つの皮質-基底核-視床-皮質ループを用い、人工代謝の生存制約下で行動選択と複数のナビゲーション戦略を両立させる生物模倣制御アーキテクチャを構築し、シミュレーションで評価した。

著者: Benoît Girard, David Filliat, Jean-Arcady Meyer, Alain Berthoz, Agnès Guillot

分類: cs.AI, cs.RO

原文アブストラクト

This article describes a biomimetic control architecture affording an animat both action selection and navigation functionalities. It satisfies the survival constraint of an artificial metabolism and supports several complementary navigation strategies. It builds upon an action selection model based on the basal ganglia of the vertebrate brain, using two interconnected cortico-basal ganglia-thalamo-cortical loops: a ventral one concerned with appetitive actions and a dorsal one dedicated to consummatory actions. The performances of the resulting model are evaluated in simulation. The experiments assess the prolonged survival permitted by the use of high level navigation strategies and the complementarity of navigation strategies in dynamic environments. The correctness of the behavioral choices in situations of antagonistic or synergetic internal states are also tested. Finally, the modelling choices are discussed with regard to their biomimetic plausibility, while the experimental results are estimated in terms of animat adaptivity.

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