Abstract Simultaneous Localization and Mapping (SLAM) is a process to use multiple
sensors to position an unmanned mobile vehicle without previous knowledge of the …

This paper surveys the supportive technologies currently available for ground mobile robots
used for autonomous mapping in agriculture. Unlike previous reviews, we describe state-of …

This part of our review of the research, developments and innovation in agricultural robots
for field operations, focuses on characteristics, performance measures, agricultural tasks …

Robot navigation in the environment with obstacles is still a challenging problem. In this
paper, the navigation problems with wheeled mobile robots (WMRs) are reviewed, the …

Fruit production in orchards currently relies on high labor inputs. Concerns arising from the
increasing labor cost and shortage of labor can be mitigated by the availability of an …

This paper describes a light detection and ranging (LiDAR)‐based autonomous navigation
system for an ultralightweight ground robot in agricultural fields. The system is designed for …

Our research concerned the development of an autonomous robotic navigation system for
orchard harvesting with a dual master-slave mode, the autonomous navigation tractor …

In a semi-structured orange orchard, multi-tree trunk detection is an effective method for
mobile robot localization. However, because of the complex background of the natural …

A state feedback navigation control system based on a virtual Ackerman steering model is
proposed in this study to address the problems of the poor smoothness of steering control …

Accurate situational awareness is crucial for various agricultural tasks and serves as a
foundation for autonomous agricultural robots. Simultaneous localization and mapping …