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69
Towards Robust Object Categorization for Mobile Robots with Combination of Classifiers
"... 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 ..."
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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
"... 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 ..."
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Cited by 18 (2 self)
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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
, 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 ..."
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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
"... 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 ..."
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Cited by 5 (2 self)
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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
"... 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 ..."
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Cited by 1 (0 self)
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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
, 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 ..."
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Cited by 4 (1 self)
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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
- 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 ..."
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Cited by 7 (3 self)
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. 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
- 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, ..."
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Cited by 23 (2 self)
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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
"... 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 ..."
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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
"... 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 ..."
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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
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