The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The goal of the paper is to present the foreseen research activity of the European project “SHERPA” whose activities will start officially on February 1th 2013. The goal of SHERPA is to develop a mixed ground and aerial robotic platform to support search and rescue activities in a real-world hostile environment, like the alpine scenario that is specifically targeted in the project. Looking into the...
In this article, we describe and discuss the use of information that is available in the World Wide Web and intended for human use as a knowledge resource for autonomous service robots. To this end, we introduce several categories of Web sites that can serve as information sources and explain which kinds of information they provide. We then investigate several information processing methods that can...
In this paper we present a comprehensive object categorization and classification system, of great importance for mobile manipulation applications in indoor environments. In detail, we tackle the problem of recognizing everyday objects that are useful for a personal robotic assistant in fulfilling its tasks, using a hierarchical multi-modal 3D-2D processing and classification system. The acquired...
This paper describes and discusses the K-COPMAN (Knowledge-enabled Cognitive Perception for Manipulation) system, which enables autonomous robots to generate symbolic representations of perceived objects and scenes and to infer answers to complex queries that require the combination of perception and knowledge processing. Using K-COPMAN, the robot can solve inference tasks such as identifying items...
In this paper we present a method for building models for grasping from a single 3D snapshot of a scene composed of objects of daily use in human living environments. We employ fast shape estimation, probabilistic model fitting and verification methods capable of dealing with different kinds of symmetries, and combine these with a triangular mesh of the parts that have no other representation to model...
Humanoid robotic assistants need capable and comprehensive perception systems that enable them to perform complex manipulation and grasping tasks. This requires the identification and recognition of supporting planes and objects in the world, together with their precise 6D poses. In this paper, we propose a 3D perception system architecture that can robustly fit CAD models in cluttered table setting...
Current approaches for factory automation have not yet fully succeeded in realizing an autonomous manufacturing system for mass customized, highly variant products. In this interdisciplinary work between computer science and mechanical engineering departments, the authors report on an integral approach for a cognitive manufacturing system which uses planning, perception and knowledge capabilities...
This paper investigates integration of the supervised machine learning algorithms (model trees, neural networks) into a production plan realized in a physics-based realistic simulator. Proposed novelty is in that the learning capability is integrated into the control process which allows for online learning and on the fly control code modification. Running the process in a simulated environment enables...
While current manufacturing systems are built to avoid uncertainty, the increase of setup reconfiguration frequency and ever higher numbers of variants produced on the same systems motivate the exploration of new approaches to manufacturing and manufacturing control. In this paper we discuss the application of plan based controllers and transformational planning in manufacturing. Autonomous control...
This paper presents a novel algorithm for 3D depth estimation using a particle filter (PFDE - particle filter depth estimation) in a monocular vSLAM (visual simultaneous localization and mapping) framework. We present our implementation on an omnidirectional mobile robot equipped with a single monochrome camera and discuss experimental results obtained in our Assistive Kitchen project and its potential...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.