Motion planning for mobile robots using a laser range finder

2009 ◽  
Vol 14 (2) ◽  
pp. 257-261 ◽  
Author(s):  
Jr-Hung Guo ◽  
Kuo-Lan Su ◽  
Chia-Ju Wu ◽  
Sheng-Ven Shiau
2008 ◽  
Vol 20 (2) ◽  
pp. 213-220 ◽  
Author(s):  
Kimitoshi Yamazaki ◽  
◽  
Takashi Tsubouchi ◽  
Masahiro Tomono ◽  
◽  
...  

In this paper, a modeling method to handle furniture is proposed. Real-life environments are crowded with objects such as drawers and cabinets that, while easily dealt with by people, present mobile robots with problems. While it is to be hoped that robots will assist in multiple daily tasks such as putting objects in into drawers, the major problems lies in providing robots with knowledge about the environment efficiently and, if possible, autonomously.If mobile robots can handle these furniture autonomously, it is expected that multiple daily jobs, for example, storing a small object in a drawer, can be performed by the robots. However, it is a perplexing process to give several pieces of knowledge about the furniture to the robots manually. In our approach, by utilizing sensor data from a camera and a laser range finder which are combined with direct teaching, a handling model can be created not only how to handle the furniture but also an appearance and 3D shape. Experimental results show the effectiveness of our methods.


2010 ◽  
Vol 22 (6) ◽  
pp. 708-717 ◽  
Author(s):  
Aneesh Chand ◽  
◽  
Shin‘ichi Yuta

Notably, a salient shortfall of most outdoor mobile robots is their lack of ability to autonomously cross roads while traveling along pedestrian sidewalks in an urban outdoor environment. If it has the ability to intuitively cross a road, the robot could then travel longer distances and more complex routes than originally possible. To this effect, the authors have been developing technologies that attempt to endow such a road-crossing function to outdoor mobile robots. In this paper, a system for road-crossing landmarks detection and localization for outdoor mobile robots is presented. We show how a robot equipped with a single monocular camera and laser range finder sensor can accurately detect, identify and localize roadcrossing landmarks such as pedestrian push button boxes, zebra crossings and pedestrian lights that the robots needs to be aware of and use in order to autonomously cross roads. In addition, experimental results and future plans are discussed.


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