Robotics · 2021 · 12 citations · 17 references
EngineeringPrecision AgricultureRobotics EngineeringRobot DesignRobot KinematicsRoboticsLocomotion DesignMobile Robot LocomotionSuspension KinematicsSuspension SystemsTerrain TraversalWheeled LocomotionKinematic Synthesis Of RoboticsLocomotionPrecision Agriculture ApplicationsTorqueUneven Terrain LocomotionUneven Terrain TraversalUnmanned Ground VehiclesWheeled Robot Locomotion
The Agri_q is an electric unmanned ground vehicle specifically designed for precision agriculture applications. Since it is expected to traverse on unstructured terrain, especially uneven terrain, or to climb obstacles or slopes, an eight-wheeled locomotion layout, with each pair of wheels supported by a bogie, has been chosen. The wide contact surface between the vehicle and the ground ensures a convenient weight distribution; furthermore, the bogie acts like a filter with respect to ground irregularities, reducing the transmissibility of the oscillations. Nevertheless, this locomotion layout entails a substantial lateral slithering along curved trajectories, which results in an increase of the needed driving torque. Therefore, reducing the number of ground contact points to compare the torque adsorption in different configurations, namely four, six, or eight wheels, could be of interest. This paper presents a reconfiguration mechanism able to modify the Agri_q locomotion layout by lifting one of the two wheels carried by the bogie and to activate, at the same time, a suspension device. The kinematic synthesis of the mechanism and the dynamic characteristics of the Agri_q suspended front module are presented.
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The Thorvald II Agricultural Robotic System
Lars Grimstad, Pål Johan From · Robotics · 2017 · 163 citations · Full text
Engineering, Agricultural Engineering, Robotics Engineering +10
Robotic in-row weed control in vegetables
Trygve Utstumo, Frode Urdal, Anders Brevik et al. · Computers and Electronics in Agriculture · 2018 · 162 citations · Full text
Vinobot and Vinoculer: Two Robotic Platforms for High-Throughput Field Phenotyping
Ali Shafiekhani, Suhas Kadam, Felix Fritschi et al. · Sensors · 2017 · 144 citations · Full text