多目的ブラックボックス最適化に基づく日常支援モジュール型ロボットの設計
Daily Assistive Modular Robot Design Based on Multi-Objective Black-Box Optimization
再構成可能なアクチュエータモジュールとブラックボックス最適化を用いて、ユーザーやタスクに合わせた日常支援ロボットを自動設計する手法を提案した。
著者: Kento Kawaharazuka, Tasuku Makabe, Kei Okada, Masayuki Inaba
分類: cs.RO
原文アブストラクト
The range of robot activities is expanding from industries with fixed environments to diverse and changing environments, such as nursing care support and daily life support. In particular, autonomous construction of robots that are personalized for each user and task is required. Therefore, we develop an actuator module that can be reconfigured to various link configurations, can carry heavy objects using a locking mechanism, and can be easily operated by human teaching using a releasing mechanism. Given multiple target coordinates, a modular robot configuration that satisfies these coordinates and minimizes the required torque is automatically generated by Tree-structured Parzen Estimator (TPE), a type of black-box optimization. Based on the obtained results, we show that the robot can be reconfigured to perform various functions such as moving monitors and lights, serving food, and so on.
