Case-based reasoning systems have traditionallybeen used to perform high-level reasoning in problem domains that can be adequately described using discrete, symbolic representations. However, many realworld problem domains, such as autonomous robotic navigation, are better characterized using continuous representations. Such problem domains also require continuous performance, such as continuou...

Mobile robots are integrated into a search and rescue team as tools for searching victims in dangerous areas that is harmful for human, as to provide the perception data for map building, and as to follow the human entity during the mission. The teleoperated control and the autonomous path following is implemented on the robots for the semiautonomous navigation in the simulated firing scenario....

Computer Vision based autonomous robot navigation has caught the attention of many researchers because of its huge potential in various industrial and social applications. This paper focuses on various approaches used to detect road region which is fundamental requirement in applications like intelligent vehicles, lane detection and tracking and driver assistance systems. Broadly speaking techn...

Abstract This paper addresses the development of a set novel autonomous control laws for navigation multiple mini or micro quadrotors in workspace populated with cylindrical obstacles. To authors' knowledge, this is first time that such inputs and avoidance obstacles being derived from single Lyapunov function. The achieved via Minimum Distance Technique allows quadrotor to avoid closest point ...

Factor graphs are graphical models used to represent a wide variety of problems across robotics, such as Structure from Motion (SfM), Simultaneous Localization and Mapping (SLAM) calibration. Typically, at their core, they have an optimization problem whose terms only depend on small subset variables. graph solvers exploit the locality drastically reduce computational time Iterative Least-Squar...

SPARTAN (SPAring Robotics Technologies for Autonomous Navigation) and its extension SEXTANT (Spartan EXTension Activity Not Tendered) are two robotic exploration technology development activities funded by ESA. They target the development of computer vision algorithms for visual navigation that will be suitable for use by Martian rovers. This paper summarizes our on-going efforts in the context...