Farm Workers of the Future Vision-Based Robotics for Broad-Acre Agriculture

被引:24
作者
Ball, David [1 ]
Ross, Patrick [1 ]
English, Andrew [1 ]
Milani, Peter [2 ]
Richards, Daniel [1 ]
Bate, Andrew [2 ]
Upcroft, Ben [1 ]
Wyeth, Gordon [1 ]
Corke, Peter [1 ]
机构
[1] Queensland Univ Technol, Sch Elect Engn & Comp Sci, Brisbane, Qld, Australia
[2] SwarmFarm Robot, Emerald, Australia
基金
澳大利亚研究理事会;
关键词
D O I
10.1109/MRA.2016.2616541
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Farmers are under growing pressure to intensify production to feed a growing population while managing environmental impact. Robotics has the potential to address these challenges by replacing large complex farm machinery with fleets of small autonomous robots. This article presents our research toward the goal of developing teams of autonomous robots that perform typical farm coverage operations. Making a large fleet of autonomous robots economical requires the use of inexpensive sensors, such as cameras for localization and obstacle avoidance. To this end, we describe a vision-based obstacle detection system that continually adapts to environmental and illumination variations and a visionassisted localization system that can guide a robot along crop rows with a complex appearance. Large fleets of robots will become time-consuming to monitor, control, and resupply. To reduce this burden, we describe a vision-based docking system for autonomously refilling liquid supplies and an interface for controlling multiple robots. © 1994-2011 IEEE.
引用
收藏
页码:97 / 107
页数:11
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