Access the full text.
Sign up today, get DeepDyve free for 14 days.
T. Itoh, K. Kosuge, T. Fukuda (2000)
Human-machine cooperative telemanipulation with motion and force scaling using task-oriented virtual tool dynamicsIEEE Trans. Robotics Autom., 16
Y. Dobrusin, Y. Edan, J. Grinshpun, U. Peiper, A. Hetzroni (1992)
Real-time image processing for robotic melon harvesting
H. Sidenbladh, D. Kragic, H.I. Christensen
A person following behavior for a mobile robot
A. Bechar, Y. Edan, Joachim Meyer, M. Rotman, Lea Friedman (2000)
Human-machine collaboration for melons detection.
R. Ceres, J. Pons, A. Jiménez, J. Martín, L. Calderón (1998)
Design and implementation of an aided fruit‐harvesting robot (Agribot)Industrial Robot-an International Journal, 25
F. Sevila, P. Baylou (1991)
The principles of robotics in agriculture and horticulture
Y. Edan, G.E. Miles, T.I. Flash, J. Wolf, Y. Grinspun, U.M. Peiper
The robotic melon harvester
Y. Edan
Food and agricultural robots
K. Sivala, N. Bhole, R. Mukherjee (1991)
Effect of moisture on rice bran oil expressionJournal of Agricultural Engineering Research, 50
D. Khadraoui, C. Debain, R. Rouveure, P. Martinet, P. Bonton, J. Gallice (1998)
Vision-Based Control in Driving Assistance of Agricultural VehiclesThe International Journal of Robotics Research, 17
A. Kirlik, B. Plamondon, Lynn Lytton, R. Jagacinski, R. Miller (1993)
Supervisory control in a dynamic and uncertain environment: laboratory task and crew performanceIEEE Trans. Syst. Man Cybern., 23
M. Benady, G. Miles (1992)
Locating melons for robotic harvesting using structured light
T. Sheridan, W. Verplank (1978)
Human and Computer Control of Undersea Teleoperators
A. Bechar
Department of Industrial Engineering and Management
J. Yamashita, N. Kondo
“Agricultural robots (1): vision sensing systems”
Automatic target recognition in agricultural harvesting robots is characterized by low detection rates and high false alarm rates due to the unstructured nature of both the environment and the objects. To improve detection human‐robot collaboration levels were defined and implemented. The collaboration level is defined as the level of system autonomy or the level at which the human operator (HO) interacts with the system. Experimental results on images taken in the field indicate that collaboration of HO and robot increases detection and reduces the time required for detection.
Industrial Robot: An International Journal – Emerald Publishing
Published: Oct 1, 2003
Keywords: Farms; Robotics; Inspection; Man machine interface
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.