In this paper, a review on the three most important communication techniques (ground,
aerial, and underwater vehicles) has been presented that throws light on trajectory planning …

Safe and smooth mobile robot navigation through cluttered environment from the initial
position to goal with optimal path is required to achieve intelligent autonomous ground …

In this paper, a knowledge based genetic algorithm (GA) for path planning of a mobile robot
is proposed, which uses problem-specific genetic algorithms for robot path planning instead …

This work offers an overview of the effective communication techniques for space
exploration of ground, aerial, and underwater vehicles. We not only comprehensively …

This work presents results of our work in development of a genetic algorithm based path-
planning algorithm for local obstacle avoidance (local feasible path) of a mobile robot in a …

Engineers and scientists use instrumentation and measurement equipment to obtain
information for specific environments, such as temperature and pressure. This task can be …

In this paper, a novel knowledge based genetic algorithm (GA) for path planning of multiple
robots for multiple targets seeking behaviour in presence of obstacles is proposed. GA …

Robotic is now gaining a lot of space in our daily life and in several areas in modern industry
automation and cyber-physical applications. This requires embedding intelligence into these …

The main goal of intelligent camera path planning is to determine an optimal pathway that
proceeds from the starting position to the target position under several constraint conditions …

Mobile robot navigation and obstacle avoidance in dynamic and unknown environments is
one of the most challenging problems in the field of robotics. Considering that a robot must …