CobotGear: ウェアラブル光学式モーションキャプチャによる協働ロボットとのインタラクション
CobotGear: Interaction with Collaborative Robots using Wearable Optical Motion Capturing Systems
低コストのウェアラブル光学式モーションキャプチャと人工ポテンシャル場に基づく改良型衝突回避アルゴリズムを統合し、人間と協働ロボットの安全な協働を実現するシステムを提案・評価した。
著者: Juan Heredia, Miguel Altamirano Cabrera, Jonathan Tirado, Vladislav Panov, Dzmitry Tsetserukou
分類: cs.RO
原文アブストラクト
In industrial applications, complex tasks require human collaboration since the robot doesn't have enough dexterity. However, the robots are still implemented as tools and not as collaborative intelligent systems. To ensure safety in the human-robot collaboration, we introduce a system that presents a new method that integrates low-cost wearable mocap, and an improved collision avoidance algorithm based on the artificial potential fields. Wearable optical motion capturing allows to track the human hand position with high accuracy and low latency on large working areas. To increase the efficiency of the proposed algorithm, two obstacle types are discriminated according to their collision probability. A preliminary experiment was performed to analyze the algorithm behavior and to select the best values for the obstacle's threshold angle $\theta_{OBS}$, and for the avoidance threshold distance $d_{AT}$. The second experiment was carried out to evaluate the system performance with $d_{AT}$ = 0.2 m and $\theta_{OBS}$ = 45 degrees. The third experiment evaluated the system in a real collaborative task. The results demonstrate the robust performance of the robotic arm generating smooth collision-free trajectories. The proposed technology will allow consumer robots to safely collaborate with humans in cluttered environments, e.g., factories, kitchens, living rooms, and restaurants.
