Currently, mobile robots are developing rapidly and are finding numerous applications in the
industry. However, several problems remain related to their practical use, such as the need …

Deploying autonomous robots in crowded indoor environments usually requires them to
have accurate dynamic obstacle perception. Although plenty of previous works in the …

Visually impaired people usually find it hard to travel independently in many public places
such as airports and shopping malls due to the problems of obstacle avoidance and …

Although the actual visual simultaneous localization and mapping (SLAM) algorithms
provide highly accurate tracking and mapping, most algorithms are too heavy to run live on …

An outdoor delivery robot requires autonomous navigation technologies, such as map
generation, driving area definition, path generation, and control. However, integrating the …

Deep Reinforcement Learning (DRL) is hugely successful due to the availability of realistic
simulated environments. However, performance degradation during simulation to real-world …

The nexus of robotics, autonomous systems, and artificial intelligence (AI) has the potential
to change the nature of human guided exploration of indoor and outdoor spaces. Such …

Robot navigation in mapless environment is one of the essential problems and challenges
in mobile robots. Deep reinforcement learning is a promising technique to tackle the task of …

Mapping and localization are essential for various robotic applications. Without a GPS
signal, indoor navigation remains a challenging task. With recent progress in machine …

This paper proposes a mapless visual navigation for autonomous mobile robot.
Conventional robot navigation deals with two issues: self-localization and path planning. To …