Add to ORKGThis paper deals with planning of visual navigation strategies for a mobile robot under uncertainty of both visual data and dead reckoning data. When a robot passes through a narrow space, it has to move slowly while carefully observing surrounding objects and estimating the distances to the objects precisely. On the other hand, the robot can move fast in a widely open space. A novel method is proposed which can adaptively determine the speed of the robot and the visual landmarks, thereby realizing an efficient navigation of the robot. Experimental results show the feasibility of the method
We present an approach for solving the path planning prob-lem for a mobile robot operating in an unk...
Abstract—Target tracking is an important capability for au-tonomous robots. The goal of this work is...
An autonomous mobile robot returns back to a reference (home) position using just the visual informa...
The model-based vision system described in this thesis allows a mobile robot to navigate indoors at ...
Vision-based mobile robot navigation requires robust methods for planning and executing tasks due to...
In many applications, robots should be able to move autonomously in semi-structured or unstructured ...
This thesis documents a simulation-based investigation into the use of vision for the navigation of ...
This paper describes a method of controlling the robot speed using a probabilistic occupancy map. It...
In this paper, we give a double twist to the problem of planning under uncertainty. State-of-the-art...
We present a method for navigating a robot from an initial position to a specified landmark in its ...
As the field of robotics and automation continues to expand, the task of positioning and navigation ...
International audienceThis paper addresses the problem of planning the motions of a circular mobile ...
We introduce a new image-based visual navigation algorithm that allows the Cartesian velocity of a r...
In recent years, robotic technology has improved significantly, aided by cutting-edge scientific res...
As technology advances, robots have integrated into our daily lives in many different forms like rob...
We present an approach for solving the path planning prob-lem for a mobile robot operating in an unk...
Abstract—Target tracking is an important capability for au-tonomous robots. The goal of this work is...
An autonomous mobile robot returns back to a reference (home) position using just the visual informa...
The model-based vision system described in this thesis allows a mobile robot to navigate indoors at ...
Vision-based mobile robot navigation requires robust methods for planning and executing tasks due to...
In many applications, robots should be able to move autonomously in semi-structured or unstructured ...
This thesis documents a simulation-based investigation into the use of vision for the navigation of ...
This paper describes a method of controlling the robot speed using a probabilistic occupancy map. It...
In this paper, we give a double twist to the problem of planning under uncertainty. State-of-the-art...
We present a method for navigating a robot from an initial position to a specified landmark in its ...
As the field of robotics and automation continues to expand, the task of positioning and navigation ...
International audienceThis paper addresses the problem of planning the motions of a circular mobile ...
We introduce a new image-based visual navigation algorithm that allows the Cartesian velocity of a r...
In recent years, robotic technology has improved significantly, aided by cutting-edge scientific res...
As technology advances, robots have integrated into our daily lives in many different forms like rob...
We present an approach for solving the path planning prob-lem for a mobile robot operating in an unk...
Abstract—Target tracking is an important capability for au-tonomous robots. The goal of this work is...
An autonomous mobile robot returns back to a reference (home) position using just the visual informa...