One of the fundamental fields of research is motion planning. Mobile manipulators present a
unique set of challenges for the planning algorithms, as they are usually kinematically …

The excessive consumption of herbicides has gradually led to the herbicide resistance weed
phenomenon. Managing herbicide resistance weeds can only be explicated by applying …

Highlights•A novel solution to the automatic weed control problem was presented.•A vision-
based robotic weed-knife control system was developed for weed control.•The system can …

In this study, the solution of inverse kinematics, which is the most fundamental problem in
the field of robotics, is handled with the grey wolf optimization algorithm. Grey wolves belong …

This paper shows the feasibility of applying a mobile manipulator powered by solar energy
as a harvesting robot in agriculture. The designs are started by designing the robot's …

Weed control is a significant cost for speciality crop producers, especially on organic farms.
Agricultural operations are still largely dependent on hand weeding that is labour intensive …

Highlights•Proposed a real-time in-row crop detection and classification algorithm.•Novel
crop signalling technique to help in distinguishing crops from in-row weeds.•Computer …

This paper proposes a learning framework for solving the inverse kinematics (IK) problem of
high DOF redundant manipulators. These have several possible combinations to get the end …

High DoF mobile manipulation of robots is a nonlinear, nonchain redundant problem. In this
article, we focus on two subissues of robot mobile manipulation: whole-body inverse …

A typical class of recurrent neural networks called zeroing neural network (ZNN) has been
considered as a powerful alternative for time-varying problems solving. In this paper, a new …