This paper aims to discuss the requirements of safe and smooth trajectory planning of transporter mobile robots to perform non-prehensile object manipulation task. In non-prehensile approach, the robot and the object must keep their grasp-less contact during manipulation task. To this end, dynamic grasp concept is employed for a box manipulation task and corresponding conditions are obtained an...

A new system for robot vision is proposed that integrates a 3-D object recognition task and a 3-D object tracking task, enabling real-time 6-DOF localization of a known continuously moving object. A computational time-lag between the two tasks is absorbed by a large amount of frame memory. For 3-D sensing, calibrated trinocular stereo cameras are used to employ stereo-vision-based object recogn...

It is an important task for a robot to bring objects requested by human via voice. In order to achieve the task, object recognition using speech and images is needed. Ozasa et al. [1] has proposed the method for object recognition by integrating speech and image features. Although this method requires both speech (word) and image models, the speech models are automatically constructed by combin...

Object recognition, whether visual or haptic, is impaired in sighted people when objects are rotated between learning and test, relative to an unrotated condition, that is, recognition is view-dependent. Loss of vision early in life results in greater reliance on haptic perception for object identification compared with the sighted. Therefore, we hypothesized that early blind people may be more...

Object recognition is one of the most challenging problems in the field of computer vision. Although recent approaches have shown promising results, such approaches are specialized in each recognition task. Therefore they cannot be extended many other recognition tasks. To integrate many types of recognition, we propose a novel recognition method which uses hierarchical structure. Our experimen...

In rodents, the novel object recognition task (NOR) has become a benchmark task for assessing recognition memory. Yet, despite its widespread use, a consensus has not developed about which brain structures are important for task performance. We assessed both the anterograde and retrograde effects of hippocampal lesions on performance in the NOR task. Rats received 12 5-min exposures to two iden...

Learning about the world through our senses constrains our ability to recognise our surroundings. Experience shapes perception. What is the neural basis for object recognition and how are learning-induced changes in recognition manifested in neural populations? We consider first the location of neurons that appear to be critical for object recognition, before describing what is known about thei...

We address the task of recognizing objects from video input. This important problem is relatively unexplored, compared with image-based object recognition. To this end, we make the following contributions. First, we introduce two comprehensive datasets for video-based object recognition. Second, we propose Latent Bi-constraint SVM (LBSVM), a maximummargin framework for video-based object recogn...