The term active stresses the role of the motion or, generally speaking, the dynamic interaction of the observer with the environment. This concept emphasizes the relevance of determining scene properties from the temp...
The term active stresses the role of the motion or, generally speaking, the dynamic interaction of the observer with the environment. This concept emphasizes the relevance of determining scene properties from the temporal evolution of image features. Within the active vision approach, two different aspects are considered: the advantages of space-variant vision for dynamic visual processing and the qualitative analysis of optical flow. A space-variant sampling of the image plane has many good properties in relation to active vision. In particular, two examples are presented in which a log-polar representation is used for active vergence control and to estimate the time-to-impact during tracking egomotion. These are just two modules which could fit into a complete active vision system, but already highlight the advantages of space-variant sensing within the active vision paradigm. In the second part of the paper the extraction of qualitative properties from the optical flow is discussed. A new methodology is proposed in which optical flows are analyzed in terms of anomalies as unexpected velocity patterns or inconsistencies with respect to some predicted dynamic feature. Two kinds of knowledge are necessary: about the dynamic of the scene (for example, the approximate motion of the camera) and about the task to be accomplished, which is analogous to (qualitatively) knowing the kind of scene I would expect to see. The first simply implies the measurement of some motion parameters (for example, with inertial sensors) directly on the camera, or to put some constraints in the egomotion. The second requirement implies that the visual process is task-driven. Some examples are presented in which the method is successfully applied to robotic tasks.
A distributed computational architecture for the motor planning functions is explored. It combines a paradigm of self-organization (for building robust and coherent maps of the different motor spaces) with relaxation ...
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Stereo vision and motion analysis have been frequently used to infer scene structure and to control the movement of a mobile vehicle or a robot arm. Unfortunately, when considered separately, these methods present int...
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We present an experiment in human-machine spoken language interaction to determine whether subjects made use of diagnostic error messages. These experiments were performed within an air travel domain, using data from ...
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A distributed computational architecture for the motor planning functions is explored. It combines a paradigm of self-organization (for building robust and coherent maps of the different motor spaces) with relaxation ...
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A distributed computational architecture for the motor planning functions is explored. It combines a paradigm of self-organization (for building robust and coherent maps of the different motor spaces) with relaxation dynamics (for run-time incorporation of task constraints). The model, named SOBoS (Self-Organizing Body Schema), is illustrated with simulation results. Unlike other attempts to use self-organizing techniques for learning sensory-motor mappings, SOBoS can overcome the redundancy problem by learning, during exploratory movements, the direct motor space transformations (which are always well-defined) instead of the inverse ones (which are ill-defined for redundant systems) and by performing, during planning, a relaxation in a potential landscape determined by a combination of multiple task-dependent constraints. The model can initiate actual movements, by supplying the cerebral motor cortex and the cerebellar cortex with the necessary planning patterns, or can support mental simulations with an accurate reproduction of spatial and temporal patterns.< >
A behavioral characterization of nonhierarchical alternate routing schemes in which a certain number of trunks are reserved for direct routed traffic is presented. It is found that the fundamental behavioral character...
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A behavioral characterization of nonhierarchical alternate routing schemes in which a certain number of trunks are reserved for direct routed traffic is presented. It is found that the fundamental behavioral characteristic of the schemes with trunk reservation control is the same as that of the schemes without reservation. A sufficient condition, which can be utilized to find the minimum number of trunks to be reserved for direct routed traffic so as to avoid the instability, obtained. Although the sufficient condition allows absolute stability of the system from the point of view of catastrophe theory, the designer may select a lower number of trunks to be reserved, provided that the stable equilibrium states remain close to each other. A performance index for comparing various levels of reservations among themselves is proposed.< >
作者:
GROSSO, ESANDINI, GTISTARELLI, MUniversity of Genoa
Department of Communication Computer and Systems Science (DIST) Integrated Laboratory for Advanced Robotics (LIRA - Lab) Via Opera Pia hA Genova 16145 Italy
The paper presents some theoretical results useful in 3D reconstruction from disparity stereo maps. A practical implementation of the theory confirms the possibility of computing a fast spatial transposition of the ob...
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A computational model is proposed for trajectory planning of redundant robots starting from studies about synergy generation in human motor system. Based on the passive motion paradigm (PMP), i.e., on an analogic mech...
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A computational model is proposed for trajectory planning of redundant robots starting from studies about synergy generation in human motor system. Based on the passive motion paradigm (PMP), i.e., on an analogic mechanism, the model shows a good representational power and is able to manage several robot motor planning problems. Such a connectionist model shows analogies with several neural network paradigms, in particular relaxation, and can be expressed in terms of neuron-like processing elements.< >
One of the major problems in the realisation of a really autonomous robotic system, has certainly been the impossibility of being provided with perfect a priori information. The authors propose an architecture integra...
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One of the major problems in the realisation of a really autonomous robotic system, has certainly been the impossibility of being provided with perfect a priori information. The authors propose an architecture integrating sensory skills both as an aid to the manipulation process and as a means to extract information from the scene. The vision based self-calibration is described together with the first steps in closing the control loop with vision.< >
The authors describes an approach to the visuo-motor coordination of the grasping problem. A vision system is used to provide a spatial description of the scene. The volumetric information is reduced by merging the vo...
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The authors describes an approach to the visuo-motor coordination of the grasping problem. A vision system is used to provide a spatial description of the scene. The volumetric information is reduced by merging the voxels into an octree representation. At the end of the reconstruction process, this kind of 'essential' information can be used to choose the right pre-shaping and to coordinate the arm and the hand motion towards the pre-shaping position, in order to realize a stable grasp. Some preliminary results are shown.< >
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