Autonomous navigation with open software platform for field robots
Post, Mark A. and Bianco, Alessandro and Yan, Xiu T.; (2017) Autonomous navigation with open software platform for field robots. In: Lecture Notes in Electrical Engineering. Springer, Berlin. (In Press)
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Abstract
Autonomous monitoring of agricultural farms fields has recently become feasible due to continuing development in robotics technology, but many notable challenges remain. In this chapter, we describe the state of ongoing work to create a fully autonomous agriculture robot platform for automated monitoring and intervention tasks on modern farms that is built using with low cost and off the shelf hardware and open source software so as to be affordable to farmers. The hardware and software architectures used in this robot are described along with challenges and solutions in odometry and localization, object recognition and mapping, and path planning algorithms under the constraints of the current hardware. Results obtained from laboratory and field testing show both the challenges to be overcome, and the current successes in applying a low-cost robot platform to the task of autonomously navigating and planning the outdoor farming environment.
ORCID iDs
Post, Mark A.


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Item type: Book Section ID code: 62953 Dates: DateEvent14 December 2017Published14 December 2017AcceptedKeywords: field robotics, sensor fusion, navigation, agriculture, ROS, robot operating system, Electronic computers. Computer science, Electrical Engineering. Electronics Nuclear Engineering, Artificial Intelligence, Industrial and Manufacturing Engineering Subjects: Science > Mathematics > Electronic computers. Computer science
Technology > Electrical engineering. Electronics Nuclear engineeringDepartment: Faculty of Engineering > Design, Manufacture and Engineering Management Depositing user: Pure Administrator Date deposited: 19 Jan 2018 14:56 Last modified: 23 Nov 2023 01:59 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/62953