Machine learning technologies are being integrated into robotic systems faster to enhance
their efficacy and adaptability in dynamic environments. The primary goal of this research …

In recent years robots are replacing the human workforce in hospitals, defense, agricultural
fields, laboratories, etc,. Majority of the robots working in such areas should possess the …

The ability to navigate unstructured environments is an essential task for intelligent systems.
Autonomous navigation by ground vehicles requires developing an internal representation …

Path planning for the mobile robot is an emerging area in today's world; the development of
autonomous vehicles like driverless cars and mobile robots has tremendously enhanced …

Currently, robots are used to carry out dangerous tasks such as bomb detonations, spray
painting, disaster management and so on. To ensure sufficient robot navigation, various …

Mobile robots are high-performance robots that are used to perform a specific function in
environments such as land, air and water, with free movement options and are equipped …

In the realm of robotics, indoor robotics is an increasingly prominent field, and enhancing
robot performance stands out as a crucial concern. This research undertakes a comparative …

Simultaneous localization and mapping (SLAM) is one of the core technologies for
intelligent mobile robots. However, when robots perform VSLAM in dynamic scenes …

These are especially beneficial in applications where human lives are threatened.
Autonomous navigation in unknown environments is a challenging issue for UAVs where …

Simultaneous localization and mapping (SLAM) empower robots with self-location,
navigation, and environment mapping capabilities. However, visual SLAM encounters …