𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Learning to Perceive Objects for Autonomous Navigation

✍ Scribed by Jing Peng; Bir Bhanu

Book ID
110269456
Publisher
Springer US
Year
1999
Tongue
English
Weight
318 KB
Volume
6
Category
Article
ISSN
0929-5593

No coin nor oath required. For personal study only.

πŸ“œ SIMILAR VOLUMES

Using roadmaps to classify regions of sp
Using roadmaps to classify regions of space for autonomous robot navigation
✍ Maurizio Piaggio; Renato Zaccaria πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 770 KB

The roadmap approach to robot path planning is one of the earliest methods. Since then, many different algorithms for building roadmaps have been proposed and widely implemented in mobile robots but their use has always been limited to planning in static, totally known environments. In this paper we

Learning to select distinctive landmarks
Learning to select distinctive landmarks for mobile robot navigation
✍ Stephen Marsland; Ulrich Nehmzow; Tom Duckett πŸ“‚ Article πŸ“… 2001 πŸ› Elsevier Science 🌐 English βš– 674 KB

In landmark-based navigation systems for mobile robots, sensory perceptions (e.g., laser or sonar scans) are used to identify the robot's current location or to construct internal representations, maps, of the robot's environment. Being based on an external frame of reference (which is not subject t

Learning to avoid collisions: A reinforc
Learning to avoid collisions: A reinforcement learning paradigm for mobile robot navigation
✍ B.J.A. KrΓΆse; J.W.M. van Dam πŸ“‚ Article πŸ“… 1992 πŸ› Elsevier Science βš– 595 KB

The paper describes a self-learning control system for a mobile robot. Based on sensor information the control system has to provide a steering signal in such a way that collisions are avoided. Since in our case no 'examples' are available, the system learns on the basis of an external reinforcement