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Textural features calculated from various segmental fluences of volumetric modulated arc therapy (VMAT) plans were optimized to enhance its performance to predict plan delivery accuracy.Twenty prostate and twenty head and neck VMAT plans were selected retrospectively. Fluences were generated for each VMAT plan by summations of segments at sequential groups of control points. The numbers of summed...
Teleoperation provides a technical means to perform desired tasks in remote environments. Teleoperation using direct control and haptic-mediated interactions requires significant effort for unskilled users to understand how to operate the robot. Task-oriented teleoperation supports human-level understanding to directly transfer the meaning of tasks from the user to the robot. In this paper, we propose...
DuplicateSpace is a 3D interaction platform that enables direct manipulation by two-handed interaction in a virtual environment. Our platform aims to enhance the operational feasibility and realistic feeling of the virtual world by allowing operability of virtual objects through real-world metaphors. On this platform, we apply asymmetric bimanual interaction, which combines a bare hand and a hand-held...
This video presents a grasp planning of multiple robots via learning by human demonstration. In order to make a robot grasp an unknown object, the robot is required to figure out an appropriate grasping skill such as grasping points and approaching directions for the target object. After a shape of an unknown object has been reconstructed, the robot learns a natural and intuitive grasping skill by...
In this paper, we presented a method for segmenting a mesh model of an articulated object from sequential stereo images. Coupled with an existing modeling and joint recovery techniques, our method reconstructed objects with various shapes successfully. We achieved robustness for our segmentation method by combining a graph-cut algorithm with proposed functions for updating link capacities. However,...
The three-dimensional (3D) reconstruction of objects has been well studied in the literature of augmented reality (AR) [1, 2]. Most existing studies have assumed that the to-be-constructed target object is rigid, whereas objects in the real world can be dynamic or deformable. Therefore, AR systems are required to deal with non-rigid objects to be adaptive to environmental changes. In this paper, we...
This paper describes an intuitive approach for a cognitive grasp of a robot. The cognitive grasp means the chain of processes that make a robot to learn and execute a grasping method for unknown objects like a human. In the learning step, a robot looks around a target object to estimate the 3D shape and understands the grasp type for the object through a human demonstration. In the execution step,...
This paper presents a multimodal user guide system, comprised of wearable sensors, which provides interactive feedback to users for the purpose of sharing experiences. The system we propose captures and analyzes contextual information using wearable sensors, while a user is performing an activity. The information can subsequently be shared with other users and used to guide users in performing similar...
In an environment where the contexts of users are complex and the degree of freedom of user activity is very high, such as in daily life, several factors need to be considered for constructing user models. Such a model should include changes in the meanings of activities that reflect the user's situation both temporally and individually. In this paper we propose a novel approach for personalizing...
This paper describes a new learning by observation algorithm based on Bayesian networks and game pattern graphs. Even with minimal knowledge of a game or human instructions, the robot can learn the game rules by watching human demonstrators repeatedly play the game multiple times. Based on the knowledge acquired from this learning process, represented in Bayesian networks and game pattern graphs,...
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