Center-articulated hydrostatic cotton harvesting Rover using visual-servoing control and a finite state machine
Loading...
Date
2020-07-30
Journal Title
Journal ISSN
Volume Title
Publisher
MDPI
Abstract
Multiple small rovers can repeatedly pick cotton as bolls begin to open until the end
of the season. Several of these rovers can move between rows of cotton, and when bolls are
detected, use a manipulator to pick the bolls. To develop such a multi-agent cotton-harvesting
system, each cotton-harvesting rover would need to accomplish three motions: the rover must move
forward/backward, turn left/right, and the robotic manipulator must move to harvest cotton bolls.
Controlling these actions can involve several complex states and transitions. However, using the
robot operating system (ROS)-independent finite state machine (SMACH), adaptive and optimal
control can be achieved. SMACH provides task level capability for deploying multiple tasks to the
rover and manipulator. In this study, a center-articulated hydrostatic cotton-harvesting rover, using a
stereo camera to locate end-effector and pick cotton bolls, was developed. The robot harvested the
bolls by using a 2D manipulator that moves linearly horizontally and vertically perpendicular to the
direction of the rover’s movement. We demonstrate preliminary results in an environment simulating
direct sunlight, as well as in an actual cotton field. This study contributes to cotton engineering by
presenting a robotic system that operates in the real field. The designed robot demonstrates that it
is possible to use a Cartesian manipulator for the robotic harvesting of cotton; however, to reach
commercial viability, the speed of harvest and successful removal of bolls (Action Success Ratio
(ASR)) must be improved.
Description
Journal Article
Keywords
3D position estimation, GNSS, ROS, Robotics, Machine vision, Cotton harvesting, Cotton