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      TrimBot2020: an outdoor robot for automatic gardening

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          Abstract

          Robots are increasingly present in modern industry and also in everyday life. Their applications range from health-related situations, for assistance to elderly people or in surgical operations, to automatic and driver-less vehicles (on wheels or flying) or for driving assistance. Recently, an interest towards robotics applied in agriculture and gardening has arisen, with applications to automatic seeding and cropping or to plant disease control, etc. Autonomous lawn mowers are succesful market applications of gardening robotics. In this paper, we present a novel robot that is developed within the TrimBot2020 project, funded by the EU H2020 program. The project aims at prototyping the first outdoor robot for automatic bush trimming and rose pruning.

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          Harvesting Robots for High-value Crops: State-of-the-art Review and Challenges Ahead

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            Computational color constancy: survey and experiments.

            Computational color constancy is a fundamental prerequisite for many computer vision applications. This paper presents a survey of many recent developments and state-of-the-art methods. Several criteria are proposed that are used to assess the approaches. A taxonomy of existing algorithms is proposed and methods are separated in three groups: static methods, gamut-based methods, and learning-based methods. Further, the experimental setup is discussed including an overview of publicly available datasets. Finally, various freely available methods, of which some are considered to be state of the art, are evaluated on two datasets.
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              Performance Evaluation of a Harvesting Robot for Sweet Pepper

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                Author and article information

                Journal
                05 April 2018
                Article
                1804.01792
                3643b6d2-fa63-49a2-92d5-66c6853a5e63

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Accepted for publication at International Sympsium on Robotics 2018
                cs.RO

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