Indoor robot gardening: design and implementation

被引:0
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作者
Nikolaus Correll
Nikos Arechiga
Adrienne Bolger
Mario Bollini
Ben Charrow
Adam Clayton
Felipe Dominguez
Kenneth Donahue
Samuel Dyar
Luke Johnson
Huan Liu
Alexander Patrikalakis
Timothy Robertson
Jeremy Smith
Daniel Soltero
Melissa Tanner
Lauren White
Daniela Rus
机构
[1] University of Colorado at Boulder,Department of Computer Science
[2] Massachusetts Institute of Technology,Computer Science and Artificial Intelligence Laboratory
来源
关键词
Robotic agriculture; Indoor gardening; Tomato detection;
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摘要
This paper describes the architecture and implementation of a distributed autonomous gardening system with applications in urban/indoor precision agriculture. The garden is a mesh network of robots and plants. The gardening robots are mobile manipulators with an eye-in-hand camera. They are capable of locating plants in the garden, watering them, and locating and grasping fruit. The plants are potted cherry tomatoes enhanced with sensors and computation to monitor their well-being (e.g. soil humidity, state of fruits) and with networking to communicate servicing requests to the robots. By embedding sensing, computation, and communication into the pots, task allocation in the system is de-centrally coordinated, which makes the system scalable and robust against the failure of a centralized agent. We describe the architecture of this system and present experimental results for navigation, object recognition, and manipulation as well as challenges that lie ahead toward autonomous precision agriculture with multi-robot teams.
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页码:219 / 232
页数:13
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