Invisible Leash : Object-Following Robot

• Autorzy: Frink E. , Flippo D. , Sharda A.

Identyfikatory

DOI

10.14313/JAMRIS_1-2016/1

• Języki publikacji: EN

Abstrakty

EN

This study looked at developing a simple concept for an object-following robot, meant to follow a person in an agricultural seting. A KIPR Link was used as the framework, and simple mathematical relationships were derived to control the motion of the robot. The work described is meant as a proof-of-concept, not as a full-scale development. Reasonable results were obtained, indicating that the robot could successfully follow the object.

Słowa kluczowe

EN

object-following; agriculture; KIPR Link; unmaned robot

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2016
• Tom: Vol. 10, No. 1
• Strony: 3--7
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Frink E.

• Kansas State University, Manhattan, KS

autor

Flippo D.

• Kansas State University, Manhattan, KS, www: http://www.bae.ksu.edu/people/faculty/filippo/ index.html.

autor

Sharda A.

• Kansas State University, Manhattan, KS, www: http://www.bae.ksu.edu/people/faculty/sharda/ index.html

Bibliografia

• [1] R. Araujo and A. de Ameida, “Mobile robot pathlearning to separate goals on an unknown world”. In: Intelligent Engineering Systems Proceedings, Budapest, 1997.
• [2] N. S. Foundation. “National robotics initiative”, 2014.
• [3] C. Gao, X. Piao, and W. Tong, “Optimal motion control for ibvs of robot”. In: Proceedings of the 10th World Congress on Intelligent Control and Automation, Bejing, China, 2012.
• [4] C.-H. Hu, X.-D. Ma, and X.-Z. Dai, “Reliable person following approach for mobile robot in indoor environment”. In: Proceedings of the 9th International Conference on MAchine LEarning and Cybernetics, Boading, 2009.
• [5] KISS. “Kiss hardware/software”, 2014.
• [6] H. J. Min, N. Papanikolopoulos, C. Smith, and V. Morellas, “Feature-based covariance matching for a moving target in multi-robot following”. In: 19th Mediterranean Conference on Control and Automation, Corfu, Greece, 2011.
• [7] L. O’Sullivan, P. Corke, and R. Mahony, “Imagebased visual navigation for mobile robots”. In: 2013 IEEE International Conference on Robotics and Automation, Karlsruhe, Germany, 2013.
• [8] L. Pari, J. Sebastian, A. Traslosheros, and L. Angel, “Image based visual servoing: Estimated image jacobian by using fundametal matrix vs analytic jacobian”, Image Analysis and Recognition, vol. 5112, 2008, 706–717.
• [9] F. Wen, K. Yuan, W. Zou, X. Chai, and R. Zheng, “Visual navigation of an indoor mobile robot based on a novel artificial landmark system”. In: Proceedings of the 2009 IEEE International Conference on Mechantronics and Automation, Changchun, China, 2009.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.