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Learning from Demonstration with State Based Obstacle Avoidance for Mobile Service Robots

机译:从避免的移动服务机器人避免避免演示

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Learning from Demonstration (LfD) is a technique for teaching a system through demonstration. In areas like service robotics the robot should be user friendly in terms of coding, so LfD techniques will be of greater advantage in this domain. In this paper two novel approaches, counter based technique and encoder based technique is proposed for teaching a mobile service robot to navigate from one point to another with a novel state based obstacle avoidance technique. The main aim of the work is to develop an LfD Algorithm which is less complex in terms of hardware and software. Both the proposed methods along with obstacle avoidance have been implemented and tested using Player/Stage robotics simulator.
机译:从示范(LFD)学习是一种通过演示教授系统的技术。在服务机器人等领域,机器人应该在编码方面是用户友好的,因此LFD技术在该域中将具有更大的优势。本文提出了两种新方法,基于计数的技术和基于编码器的技术,用于教导移动服务机器人以一种基于新的基于状态的障碍避免技术从一个点导航到另一个点。该工作的主要目的是开发一种LFD算法,在硬件和软件方面不太复杂。通过播放器/级机器人模拟器已经实现和测试了所提出的方法以及避免障碍物。

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