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工業技術研究院

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技術名稱: 機器人自主學習技術

技術簡介

基於深度增強式學習技術,讓機器人自主嘗試學習夾取新工件方法。目前對於任意姿態、隨機擺放的硬質工件,於實體環境中,夾取成功率可達到90%以上。

Abstract

Based on deep reinforcement learning technology, a self-learnimng robot is able to learn the picking and placingn skills for workpieces by itself. In the real world environment, our technology is tested to achieve more than 90% success rate for robot picking randomly placed rigid workpieces.

技術規格

.結合最新深度增強式學習技術與模擬軟體,使用者能夠大幅減少換線/工件所耗時間,實現精準隨機工件上下料。 .提供精準3D攝影機與機器手臂之手眼校正機制。 .支援Windows/Linux作業系統

Technical Specification

.Combining with the latest deep reinforcement learning technology and simulator, users are able to greatly shorten the time for changing A new type of workpiece in A production line , and realize an accurate load/unload process. .Provide accurate hand-eye calibration mechanism. .Support Windows/Linux operating system.

技術特色

.機器人自主嘗試學習,減少人為介入,讓產線換線能夠加快速、有彈性 .以DRL (Deep Reinforcement Learning)技術提供更快速、更穩定、更精確的訓練機制 .結合機器人模擬軟體,大幅減少實際嘗試的次數與整體學習時間

應用範圍

應用領域主要以機器人來提升產線自動化之金屬加工產業包含水五金、手工具、自行車零組件等產業;另可擴充到製造業組裝之整列與備料應用、及製鞋業加工等應用。

接受技術者具備基礎建議(設備)

作業系統:Windows/Ubuntu 16.04 軟體:V-REP、Tensorflow。 硬體:RAM: 64GB/CPU: Intel(R) Core(TM) i7-7820X / GPU: GTX1080Ti *4 / SSD: 500GB HDD: 4TB *3 / Robot: Universal Robot 5 (UR5) / Gripper: Robotiq 85mm / 3D Camera: Ensenso N35。

接受技術者具備基礎建議(專業)

軟硬體系統整合、機器手臂操作、機器學習。

技術分類 製造系統智慧化

聯絡資訊

聯絡人:李莉俁 執行長室

電話:+886-3-5916119 或 Email:villian.lee@itri.org.tw

客服專線:+886-800-45-8899

傳真:+886-3-5910257

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