Autonomous navigation of agricultural robots and vehicles in agricultural environments is a
prerequisite for the accomplishment of various tasks. However, precision navigation of …

Autonomous mobile robots are becoming more prominent in recent time because of their
relevance and applications to the world today. Their ability to navigate in an environment …

A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic
task of this system is based on distributive and cooperative work among agents (robots). It …

In order to achieve collision-free path planning in complex environment, Munchausen deep
Q-learning network (M-DQN) is applied to mobile robot to learn the best decision. On the …

Navigation, a significant factor in mobile robotics, is known as a process of accurately
specify the position of the robot, planning the path, and following the planned path. The …

An Informed RRT*(IRRT*) algorithm is one of the optimized versions of a Rapidly-exploring
Random Trees (RRT) algorithm which finds near-optimal solutions faster than RRT and …

Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

Unmanned ground vehicles (UGVs) are technically complex machines to operate in difficult
or dangerous environmental conditions. In recent years, there has been an increase in …

Abstract Mobile Robots (MRs) and their applications are undergoing massive development,
requiring a diversity of autonomous or self-directed robots to fulfill numerous objectives and …

Path planning in dynamic environments is still a challenging issue with autonomous mobile
robots. Current methods lack adaptability to various passing scenarios, a variety of passing …