In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapp...
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stach...
Abstract— Autonomous mobile robots are deployed in a variety of application domains, resulting in scenario specific implementations. However these systems share common component...
This article describes a robotic adaptive learning appliance called Robo-eLC. The appliance is the result of a multidisciplinary approach which combines e-Learning and e-Commerce ...
A distributed robot control system is proposed based on a temporal self-organizing neural network, called competitive and temporal Hebbian (CTH) network. The CTH network can learn ...
—Binary robotic devices with large degrees of freedom have been proposed by a number of researchers. However, experimental implementations of these concepts have been built with ...
Moustapha Hafez, Matthew D. Lichter, Steven Dubows...