In this paper we focus on the problem of Simultaneous Localization and Mapping (SLAM) using visual information obtained from the environment. In particular, we propose the use of a single omnidirectional camera to car...
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ISBN:
(纸本)9789898565211
In this paper we focus on the problem of Simultaneous Localization and Mapping (SLAM) using visual information obtained from the environment. In particular, we propose the use of a single omnidirectional camera to carry out this task. Many approaches to visual SLAM concentrate on the estimation of the position of a set of 3D points, commonly denoted as visual landmarks which are extracted from images acquired at the environment. Thus the complexity of the map computation grows as the number of visual landmarks in the map increases. In this paper we propose a different representation of the environment that presents a series of advantages compared to the before mentioned approaches, such as a simplified computation of the map and a more compact representation of the environment. Concretely, the map is represented by a set of views captured from particular places in the environment. Each view is composed by its position and orientation in the map and a set of 2D interest points represented in the image reference frame. Thus, in each view the relative orientation of a set of visual landmarks is stored. During the map building stage, the robot captures an image and finds corresponding points between the current view and the views stored in the map. Assuming that a set of corresponding points is found, the transformation between both views can be computed, thus allowing us to build the map and estimate the pose of the robot. In the suggested framework, the problem of finding correspondences between views is troublesome. Consequently, with the aim of performing a more reliable approach, we propose a new method to find correspondences between two omnidirectional images when the relative error between them is modeled by a gaussian distribution which correlates the current error on the map. In order to validate the ideas presented here, we have carried out a series of experiment in a real environment using real data. Experiment results are presented to demonstrate the validi
After a natural urban disaster the interior of the rubble is often where the majority of victims are located. Mortality rates increases and peaks after 48 hours, so it is of major importance to have fast and effective...
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ISBN:
(纸本)9789898565211
After a natural urban disaster the interior of the rubble is often where the majority of victims are located. Mortality rates increases and peaks after 48 hours, so it is of major importance to have fast and effective search and rescue teams. Nowadays, the rescue and exploration teams normally use dogs as a companion to find victims. Trained dogs are very helpful in these situations since their high mobility, speed and detection capacity. However they need constant instructions and supervision, they can be in danger in some situations and they are not able to collect precise data from the environment. Instead of trying to build competing devices, the COMPANIONS project looks at cooperation between natural and artificial creatures and in particular robots and dogs. This is rather new ground for research, where all the dog shortcomings can be complemented with autonomous robots with cognitive abilities able to cooperate with dogs and humans in search and rescue environments. The aim of the project is to analyse how a team of agents (robots-dogshumans in this case) can cooperate and interact during search and rescue. Research will be towards a new rescue scenario composed that will allow: (i) to empower the best characteristics of all the involved agents and to minimize the worst ones;(ii) provide the fundamental tools for enabling these three agents to work in a cooperative and efficient way in rescue missions;and (iii) and to lengthen the human-dog link by allowing the exploration combining mobile robots and trained dogs with more distant and safer human intervention in the dangerous rescue scenes. The main challenge will be the dog-robot interaction: to give visual cognitive and reasoning abilities to the robot in order to let him autonomously interact and cooperate with the dog according its behaviour and the environment conditions;and to specifically train a dog to correctly accept and interact the robot (in charge of an expert dog training company).
In this work, we propose a control strategy by state convergence applied to bilateral control of a nonlinear teleoperator system with constant delay. The bilateral control of the teleoperator system considers the case...
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ISBN:
(纸本)9781936338627
In this work, we propose a control strategy by state convergence applied to bilateral control of a nonlinear teleoperator system with constant delay. The bilateral control of the teleoperator system considers the case when the human operator applies a constant force on the local manipulator and when the interaction of the remote manipulator with the environment is considered passive. The stability analysis is performed using Lyapunov-Krasovskii functional, it showed that using an control algorithm by state convergence for the case with constant delay, the nonlinear local and remote teleoperation system is asymptotically stable, also speeds converge to zero and position tracking is achieved. This work also presents the implementation of an experimental platform. The mechanical structure of the arm that is located in the remote side has been built and the electric servomechanism has been mounted to control their movement.
Our contribution in this article is twofold. First, we identify the regularity properties of the trajectories of planar wheeled mobile robots. By regularity properties of a trajectory we mean whether this trajectory, ...
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This paper describes a method to integrate a hardware device into a modular robot control and simulation software and introduces sensor fusion to investigate the current set of control parameters. As a highlevel remot...
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The conventional mouth gender recognition is based on a static image and ignore the dynamic information. In this paper, we propose a lip movement gender recognition method to improve the accuracy by exploring the dyna...
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The most common image feature extraction algorithms such as SIFT (Scale Invariant Feature Transform) and SURF (Speeded Up Robust Feature) have been proven to be invariant to changes in rotation, scale and with restric...
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The proceedings contain 150 papers. The topics discussed include: an interpolation approach for constrained output feedback;target-aware anomaly detection and diagnosis;optimization learning method for discrete proces...
ISBN:
(纸本)9789898425744
The proceedings contain 150 papers. The topics discussed include: an interpolation approach for constrained output feedback;target-aware anomaly detection and diagnosis;optimization learning method for discrete process control;inner and outer capture basin approximation with support vector machines;a study for manufacturing cell formation approach considering setup;cost-optimal strong planning in non-deterministic domains;interactive sketch design recognition system using evolutionary techniques;generation of process variants;intelligent fault detection, identification and control of satellite formation flying;computational experience with structure-preserving Hamiltonian solvers in optimal control;personal advanced traveler assistant;building visual maps with a single omnidirectional camera;visual servoing of a multi-robotic system for manipulation tasks;and performance verification of the head/eye integrated tracker.
The current paper proposes a new network control structure based on a nonlinear network transmission model recently proposed by the authors, a switched PD time delay compensator and a state feedback controller. The de...
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The current paper proposes a new network control structure based on a nonlinear network transmission model recently proposed by the authors, a switched PD time delay compensator and a state feedback controller. The design methodology described for the control structure consists in a coupling between analytical tuning methods and numerical optimization methods. The stability is assessed in the framework of switched linear systems through a switched quadratic Lyapunov function. Finally, the results are validated on a numerical example.
There are many complex processes waiting for artificial cognitive solutions able to deal with new, complex, unknown, or arbitrary tasks efficiently. In this work, the modified shared circuits model (MSCM) for artifici...
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