Human-Machine Collaboration for Melons Detection

Avital Bechar, Yael Edan, Joachim Meyer, Masha Rotman, Lea Friedman

Research output: Contribution to conferencePaperpeer-review

Abstract

Integrating a human-operator (HO) into a robotic system can help improve performance and reduce system complexity. This work proposes and evaluates four different strategies for human-robot collaboration in a melon identification task.. Experiments were conducted to compare the performance of each strategy. Results indicated that incorporation of a HO reduces detection time by 20%, the number of operations and net operations by 40% and 67% correspondingly. Collaboration of HO and robot increases detection.

Original languageEnglish
Pages963-969
Number of pages7
StatePublished - 2000
Externally publishedYes
Event2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century - Milwaukee, WI, United States
Duration: 9 Jul 200012 Jul 2000

Conference

Conference2000 ASAE Annual International Meeting, Technical Papers: Engineering Solutions for a New Century
Country/TerritoryUnited States
CityMilwaukee, WI
Period9/07/0012/07/00

Keywords

  • Human operator
  • Human-machine interface
  • Human-robot collaboration
  • Identification
  • Melons
  • Robotics

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