物流自动化中的服务机器人:ROBOLIFT:基于视觉的传统叉车自主导航,用于托盘处理

G. Garibotto, S. Masciangelo, Marco Ilic, P. Bassino
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引用次数: 16

摘要

本文描述了一种集成的移动机器人,该机器人是在传统的叉车载体上设计和实现的,可以执行自主任务,并将所有传统的驱动执行器保留给人类驾驶员。该项目最具挑战性的目标是在不改变传统驾驶控制(如油门踏板控制(前进和后退)、紧急刹车、直接方向盘控制)的情况下,为车辆提供人类驾驶员特有的感知能力和局部智能。计算机视觉被证明是自主导航和托盘识别的主要感官系统。ROBOLIFT是Elsag Bailey telerobobot和Fiat OM Carrelli Elevatori SpA联合合作的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Service robotics in logistic automation: ROBOLIFT: vision based autonomous navigation of a conventional fork-lift for pallet handling
The paper describes an integrated mobile robot which has been designed and realised on top of a conventional fork lift carrier, to perform autonomous missions as well as to keep all the conventional drive actuators for the human driver. The most challenging goal of the project has been to provide the vehicle with the sensory capability and local intelligence, which is typical of the human driver, without altering the conventional driving control, such as the pedal control of the accelerator (forward and backward), the emergency brake, the direct steering wheel control. Computer vision is proved to be the main sensory system for both autonomous navigation and pallet recognition. ROBOLIFT is the result of a joint co-operation between Elsag Bailey Telerobot and Fiat OM Carrelli Elevatori SpA.
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