Autonomous mobile robots are required to move throughout map the environment, locate
themselves, and plan paths between positions. Vision stands out among the other senses …

To date, a large number of algorithms to solve the problem of autonomous exploration and
mapping has been presented. However, few efforts have been made to compare these …

This paper presents a systematic scheme for fusing millimeter wave (MMW) radar and a
monocular vision sensor for on-road obstacle detection. As a whole, a three-level fusion …

With the increasing need for multi-robot for exploring the unknown region in a challenging
environment, efficient collaborative exploration strategies are needed for achieving such …

In recent years, Embodied AI has become one of the main topics in robotics. For the agent to
operate in human-centric environments, it needs the ability to explore previously unseen …

Inspired by the cooperation between the cone cell and the rod cell in human vision system,
this paper presents a novel method for fusing millimeter wave (MMW) radar and monocular …

A map is necessary for tasks such as path planning or localization, which are common to
mobile robot navigation. However, a map may be unavailable if the environment in which a …

In mobile robotics, the exploration task consists of navigating through an unknown
environment and building a representation of it. The mobile robot community has developed …

This paper repesent a software implimentation of SLAM (Simultaneous location & Mapping)
based adaptive fuzzy tracking controller for autonomus navigation system of mobile robot for …

A fundamental problem in autonomous vehicle navigation is the identification of obstacle
free space in cluttered and unstructured environments. Features such as walls, people …