Constructing Local Orbit for Self-Operating Robot in Agricultural Greenhouse Based on ROS

Received: 06-01-2023

Accepted: 05-10-2023

DOI:

Views

0

Downloads

0

Section:

KỸ THUẬT VÀ CÔNG NGHỆ

How to Cite:

Huong, P., & Duyen, N. (2024). Constructing Local Orbit for Self-Operating Robot in Agricultural Greenhouse Based on ROS. Vietnam Journal of Agricultural Sciences, 21(10), 1282–1293. http://testtapchi.vnua.edu.vn/index.php/vjasvn/article/view/1197

Constructing Local Orbit for Self-Operating Robot in Agricultural Greenhouse Based on ROS

Pham Thi Lan Huong (*) 1 , Nguyen Thi Duyen 1

  • 1 Khoa Cơ - Điện, Học viện Nông Nghiệp Việt Nam
  • Keywords

    Agricultural Robot, ROS, Timed Elastic Bands, Omni robot

    Abstract


    This paper proposed a local path planner coping with the collision-free navigation problem which considers both static and dynamic obstacles based on Timed Elastic Bands (TEB)aggregated with Simultaneously Localization and Mapping (SLAM) for self-operating/mobile robots working in thegreenhouse environment. Moreover, the proposed system is a four-wheel Omni robot constructed using Robot Operating System (ROS) platform and implemented in a high-performance embedded computer Jetson-TX2 connected with a 3D camera and lidar to collect environmental data. The simulation results based on Gazebo and Rviz software show the effectiveness of using the ROS operating system, with the TEB algorithm in controlling and monitoring autonomous moving robots, avoiding obstacles in the greenhouse This is a research direction with great potential in high-tech agricultural applications.

    References

    Bechar A. & Vigneault C. (2016). Agricultural robots for field operations: Concepts and components. Biosystems Engineering. 149: 94-111.

    Chen Y., Wang X., Hong S., Zhong X. & Zou C. (2017). Motion planning implemented in ROS for mobile robot. 29th Chinese Control And Decision Conference (CCDC), Chongqing. pp. 7149-7154.

    Da Silva B.M., Xavier R.S. & Gonçalves L.M. (2019). Mapping and Navigation for IndoorRobots under ROS. An Experimental Analysis, Creative Commons CC BY license.

    De Baerdemaeker J., Munack A., Ramon H. & Speckmann H. (2001). Mechatronic systems, communication, and control in precision agriculture. IEEE Control Syst. 21(5): 48-70.

    Durmus H., Gunes E.O. & Kirci M. (2016). Data acquisition from greenhouses by using autonomous mobile robot. In Proceedings of the 5thInternational Conference on Agro-Geoinformatics, Tianjin, China, 18-20 July 2016. pp. 5–9.

    Flavio B.P. Malavazi, Remy Guyonneau, Jean-Baptiste Fasquel, Sebastien Lagrange & Franck Mercier (2018). LiDAR-only based navigation algorithm for an autonomous agricultural robot. Computers and Electronics in Agriculture. 154: 71-79.

    Gonzalez-de-Soto M., Emmi L., Perez-Ruiz M., Aguera J. & Gonzalez-de-Santos P. (2016). .Autonomous systems for precise spraying - Evaluation of a robotised patch sprayer. Biosyst, Eng. 146: 165-182.

    Habibie N., Nugraha A.M., Anshori A.Z., Masum M.A. & Jatmiko W. (2018). Fruit mapping mobile robot on simulated agricultural area in Gazebo simulator using simultaneous localization and mapping (SLAM). In Proceedings of the 2017 International Symposium on Micro-NanoMechatronics and Human Science (MHS), Nagoya, Japan, -6 December. pp. 1-7.

    Park S. & Lee G. (2017). Mapping and localization of cooperative robots by ROS and SLAM in unknown working area. In 2017 56thAnnual Conference of the Society of Instrument and Control Engineers of Japan (SICE). pp. 858-861: IEEE.

    Priyandoko G., Ming T. & Achmad M. (2017). Mapping of unknown industrial plant using ROS-based navigation mobile robot. In IOP Conference Series: Materials Science and Engineering. 257(1): 012088. IOP Publishing.

    Rösmann C.F.H.a.T.B. (2017). Online trajectory planning in ROS under kinodynamic constraints with timed-elasticbands. Robot Operating System (ROS). Springer, Cham. pp. 231-261.

    Shamshiri R.R., Weltzien C., Hameed I.A., Yule I.J., Grift T.E., Balasundram S.K., Pitonakova L., Ahmad D. & Chowdhary G. (2018).Research and development in agricultural robotics: A perspective of digital farming. Int J Agric & Biol Eng.11(4): 1-11.

    Shamshiri R.R., Kalantari F., Ting K.C., Thorp K.R., Hameed I.A., Weltzien C., Ahmad D. & Shad Z.M.(2018). Advances in greenhouse automation and controlled environment agriculture: A transition to plantfactories and urban agriculture. Int J Agric & Biol Eng.11(1): 1-22.

    Zhang C., Gao H., Zhou J., Cousins A., Pumphrey M.O. & Sankaran S. (2016). 3D robotic system development for high-throughput crop phenotyping. IFAC-PapersOnLine. 49(16): 242-247.

    Zhi L. & Xuesong M. (2018). Navigation and Control System of Mobile Robot Based on ROS in 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). pp. 368-372: IEEE.