The aim of the proposed work is to review the various AI techniques (fuzzy logic (FL),
artificial neural network (ANN), genetic algorithm (GA), particle swarm optimization (PSO) …

Abstract The Multiple Traveling Salesman Problem (MTSP) is among the most interesting
combinatorial optimization problems because it is widely adopted in real-life applications …

Agricultural robotics has been a popular subject in recent years from an academic as well as
a commercial point of view. This is because agricultural robotics addresses critical issues …

A key goal of contemporary agriculture is to dramatically increase production of food, feed,
fiber, and biofuel products in a sustainable fashion, facing the pressure of diminishing farm …

The advent of mobile robots in agriculture has signaled a digital transformation with new
automation technologies optimize a range of labor-intensive, resources-demanding, and …

Agriculture is the backbone of society as it mainly functions to provide food, feed and fiber on
which all human depends to live. Precision agriculture is implemented with a goal to apply …

This paper presents a comprehensive review of ground agricultural robotic systems and
applications with special focus on harvesting that span research and commercial products …

Robotics in agriculture has experienced enormous development in the past decade. In order
to accomplish numerous agricultural tasks, the order in which the crop is covered is …

Path planning and task allocation are critical concerns in multi-machine collaborative
operations for unmanned farms. Nevertheless, several problems remain in the operation of …

Task and motion planning (TAMP) integrates high-level task planning and low-level motion
planning to equip robots with the autonomy to effectively reason over long-horizon, dynamic …