• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 69
Next 10 →

Towards Robust Object Categorization for Mobile Robots with Combination of Classifiers

by Christian A. Mueller, Nico Hochgeschwender, Paul G. Ploeger
"... Abstract. An efficient object perception is a crucial component of a mobile service robot. In this work we present a solution for visual cat-egorization of objects. We developed a prototypic categorization sys-tem which classifies unknown objects based on their visual properties to a corresponding c ..."
Abstract - Add to MetaCart
Abstract. An efficient object perception is a crucial component of a mobile service robot. In this work we present a solution for visual cat-egorization of objects. We developed a prototypic categorization sys-tem which classifies unknown objects based on their visual properties to a corresponding

Towards Robust Place Recognition for Robot Localization

by M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, H. I. Christensen
"... Abstract — Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place recognition algorithm should be robu ..."
Abstract - Cited by 18 (2 self) - Add to MetaCart
Abstract — Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place recognition algorithm should

Towards Robust Place Recognition for Robot Localization

by Muhammad Muneeb, Ullah Andrzej Pronobis, Barbara Caputo, Jie Luo, Patric Jensfelt, Henrik I. Christensen, M. M. Ullah, A. Pronobis, B. Caputo, J. Luo, P. Jensfelt, H. I. Christensen , 2010
"... Abstract — Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place recognition algorithm should be robu ..."
Abstract - Add to MetaCart
Abstract — Localization and context interpretation are two key competences for mobile robot systems. Visual place recognition, as opposed to purely geometrical models, holds promise of higher flexibility and association of semantics to the model. Ideally, a place recognition algorithm should

Towards Perceptual Shared Autonomy for Robotic Mobile Manipulation

by Benjamin Pitzer, Michael Styer, Christian Bersch, Charles Duhadway, Jan Becker
"... Abstract — Reliability and availability are major concerns for autonomous systems. A personal robot has to solve complex tasks, such as loading a dishwasher or folding laundry, which are very difficult to automate robustly. In order for a robot to perform better in those applications, it needs to be ..."
Abstract - Cited by 5 (2 self) - Add to MetaCart
is perception: perceiving and inferring about objects in the robot’s environment. We present a system capable of solving the perceptual inference in combination with a human, such that a human operator functions as a resource for the robot and helps to compensate for limitations of autonomy. In this paper, we

Landmark Manipulation System for Mobile Robot Navigation

by Mohammed Elmogy
"... Abstract—In mobile robot scenarios, it is expected that the robot autonomously navigates through home or office environments and processes objects/landmarks during navigation. Landmark manipulation is identified as one important research area in robot navigation systems. We have developed an online ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
robot landmark processing system (RLPS) to detect, classify, and localize different types of landmarks during robot navigation. The RLPS is based on a two-step classification stage which is robust and invariant towards scaling and translations. It provides a good balance between fast processing time

Concurrent object identification and localization for a mobile robot. Künstliche Intelligenz

by Hans A. Kestler, Stefan Sablatnög, Steffen Simon, Stefan Enderle, Axel Baune, Gerhard K. Kraetzschmar, Friedhelm Schwenker, Günther Palm , 2000
"... Identification and localization of task-relevant objects is an essential problem for advanced service robots. We integrate state-of-the-art techniques both for object identification and object localization to solve this problem. Based on a multilevel spatial representation architecture, our approach ..."
Abstract - Cited by 4 (1 self) - Add to MetaCart
approach integrates methods for mapping, self-localization and spatial reasoning for navigation with visual attention, feature detection, and hierarchical neural classifiers. By combining probabilistic representations with qualitative spatial representations, the robot can robustly localize and navigate

Towards Concept Formation Grounded On Perception And Action Of A Mobile Robot

by Volker Klingspor, Katharina Morik - In Proc. of the 4th Intern. Conference on Intelligent Autonomous Systems , 1995
"... . The recognition of objects and, hence, their descriptions must be grounded in the environment in terms of sensor data. We argue, why the concepts, used to classify perceived objects and used to perform actions on these objects, should integrate action-oriented perceptual features and perception-or ..."
Abstract - Cited by 7 (3 self) - Add to MetaCart
. The recognition of objects and, hence, their descriptions must be grounded in the environment in terms of sensor data. We argue, why the concepts, used to classify perceived objects and used to perform actions on these objects, should integrate action-oriented perceptual features and perception

Towards Robust Data Association and Feature Modeling for Concurrent Mapping and Localization

by John J. Leonard, Paul M. Newman, Richard J. Rikoski, Jose Neira, Juan. D. Tardos - in 10th Int. Symposium on Robotics Research , 2001
"... One of the most challenging aspects of concurrent mapping and localization (CML) is the problem of data association. Because of uncertainty in the origins of sensor measurements, it is difficult to determine the correspondence between measured data and features of the scene or object being observed, ..."
Abstract - Cited by 23 (2 self) - Add to MetaCart
grouping, and (3) a new stochastic framework for making delayed decisions for combination of data from multiple uncertain vantage points. Experimental results are shown for CML using laser and sonar data from a B21 mobile robot.

Using Advanced Computer Vision Algorithms on Small Mobile Robots

by G. Kogut A, F. Birchmore B, E. Biagtan Pacis A, H. R. Everett A
"... The Technology Transfer project employs a spiral development process to enhance the functionality and autonomy of mobile robot systems in the Joint Robotics Program (JRP) Robotic Systems Pool by converging existing component technologies onto a transition platform for optimization. An example of thi ..."
Abstract - Add to MetaCart
of this approach is the implementation of advanced computer vision algorithms on small mobile robots. We demonstrate the implementation and testing of the following two algorithms useful on mobile robots: 1) object classification using a boosted Cascade of classifiers trained with the Adaboost training algorithm

Ground-Plane Classification for Robot Navigation Combining Multiple Cues Toward a Visual-Based Learning System

by Tobias Low, Antoine Manzanera
"... Abstract—This paper describes a vision-based ground-plane classification system for autonomous indoor mobile-robot that takes advantage of the synergy in combining together multiple visual-cues. A priori knowledge of the environment is important in many biological systems, in parallel with their rea ..."
Abstract - Add to MetaCart
Abstract—This paper describes a vision-based ground-plane classification system for autonomous indoor mobile-robot that takes advantage of the synergy in combining together multiple visual-cues. A priori knowledge of the environment is important in many biological systems, in parallel
Next 10 →
Results 1 - 10 of 69
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University