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This paper describes a pedestrian detection method using a LRF and a small omni-view camera. In outdoor environment, the resolutions of LRFs are too low to recognize human reliably, and high resolution image requires high calculation cost for detecting walking persons. We propose a combination approach using these data. Particle filter based tracking and HOG (Histogram of Oriented Gradients) feature...
This paper describes a system integration of a daily assistive robot. Several tasks on cooking are focused on, recognition and manipulation functions are developed and integrated. It is often the case that kitchen tools and foods have less distinctive texture on its surface, and kitchen environments which are made of reflective materials are susceptible to the effect of illumination. From these fact,...
Humanoid robots for home daily assistance need to have an autonomous behavior selection system. To realize this, situation recognition capability is important. In this paper, we propose a situation recognition system where the use of daily life sounds enables to recognize situations difficult to understand using only visual sensor data and where the use of time series of information enables robust...
This paper presents a method to generate vision and task based robot manipulator trajectories. In the framework of the research on daily assistive robots the task formulated for this work consists in ranging boxes in a shelf or picking them up and placing them into a shopping cart. For object recovery SIFT keypoint tracking in combination with stereo vision is used. A collision free trajectory between...
This paper describes daily assistive task experiments that conducting on the HRP2JSK humanoid robot. We present overall action and recognition integrated system design to realize daily assistive behaviors autonomously and robustly, along with the demonstration that the HRP2JSK pours tea from a bottle to a cup and wash it after human drink it. To obtain autonomy and robustness, visual recognition and...
Methods for a daily assistive humanoid robot to manipulate and recognize the objects incorporating joints and learn the manipulation knowledge are presented. It is necessary for humanoid robots to use the objects incorporating joints such as some furniture and tools to provide daily assistance. We have been tried to make an integrated humanoid robots recognition and manipulation system of the objects...
A vision based object recognition subsystem on knowledge-based humanoid robot system is presented. Humanoid robot system for real world service application must integrate an object recognition subsystem and a motion planning subsystem in both mobility and manipulation tasks. These requirements involve the vision system capable of self-localization for navigation tasks and object recognition for manipulation...
In this paper, we propose the system of gesture recognition for humanoids using proto-symbol space proposed by Inamura et al., by which we can tell similarity between gestures. Our goal is to develop the robust and real-time gesture recognition on real-world by humanoids. We succeeded to get 3D trajectory of human's hands using face detection and depth data obtained from stereo cameras. Our system...
Memorization, abstraction, and generation of a time-series of sensors and motion patterns are some of the most important functions for intelligent robots, because these memories are useful for situation recognition and behavior decision making. In conventional research, recurrent neural networks are often used for such memory functions. However, they cannot memorize a lot of patterns and its learning...
This paper presents a mobile robotic system for human assistance in navigation-the robot navigates by receiving visual instructions from a human being and is able to replicate them autonomously. We describe three generic components defined as the HOST, the VISION, and the CONTROL components as well as their integration in our teachable mobile robot. These components are connected to each other via...
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