There are many theories about basic emotions, and we do not know which emotions are appropriate to use. Also, faces of robots are designed differently and require different ways to embody emotional expressions. Theref...
This paper proposes trot pattern generation and online control methods for a legged robot to carry heavy-loads and move fast on the uneven terrain. The trot pattern is generated from the frequency modulated pattern ge...
This paper proposes trot pattern generation and online control methods for a legged robot to carry heavy-loads and move fast on the uneven terrain. The trot pattern is generated from the frequency modulated pattern generation method based on the frequency modulated oscillator in order for the legged robots to operate outdoors with the static and dynamic mobility. The efficiency and performance of the proposed are verified through the computer simulation and experiments using qRT-1/-2. In experiments, qRT which is a 2-legged and 2-wheeled robot and a front drive system vehicle with hydraulic linear actuators is used. The robot has trotted gaits at speeds up to 1.3 m/s on the even surface, walked up and down the 20 degree inclines, and walked at 0.7 m/s on the uneven surface. Also it has carried over 100 kg of the total weights including over 40 kg of the payload.
Grasping strategies to grasp various shapes and postures of objects for service robots are presented in this paper. Because the performance of algorithms for the grasp problem is closely connected with the structure a...
详细信息
Grasping strategies to grasp various shapes and postures of objects for service robots are presented in this paper. Because the performance of algorithms for the grasp problem is closely connected with the structure and functions of hands, both of these should be considered simultaneously. It is our procedure that searching the optimal approaching position using objects and shapes database in the first place, and then grasping the real objects using adaptive hands. The optimal FAPs (Fine Approaching Positions) generated by solving the problems of collision and variety of postures are verified by simulation.
The robot's ability of perceiving their environments is primary functionality for a number of applications such as the rescue, navigation and manipulation. In these applications, the 3D colored map image is very u...
详细信息
The robot's ability of perceiving their environments is primary functionality for a number of applications such as the rescue, navigation and manipulation. In these applications, the 3D colored map image is very useful information because it provides not only scene data but spatial data. For acquiring reliable 3D colored maps from the camera and the 3D laser scan system, one of the fundamental issues is the extrinsic calibration that calculates the rigid transformation (i.e., rotation and translation) between camera and laser coordinate system. In this paper we propose a novel method of getting extrinsic parameters which is insensitive to the noise of laser scanner measurements. Our approach introduces Expectation-Maximization(EM) algorithm to robust estimation of the relations between the camera and the laser scanner coordinate system in noisy environments. Simulations at various conditions with adding the laser measurement noise are performed to verify the effectiveness of our approach, and they show improved performances in estimating the extrinsic calibration parameters.
Recently, robots have penetrated the education market. But the power train for commercializing the robots has not been prepared yet due to chasm between developers and customers. Thus, we present a tool for u-intellig...
详细信息
Recently, robots have penetrated the education market. But the power train for commercializing the robots has not been prepared yet due to chasm between developers and customers. Thus, we present a tool for u-intelligent educational robots to help customers design robot contents easily. To do so, our tool has several features. First, the tool is based on a behavior-based control architecture for human-robot-interaction. Second, the tool has behavior categories for convenience. Finally, robot contents are based on commercial multi-media for compatibility with established educational contents. Effectiveness and practicality of our tools are verified by physical implementation for commercial educational robots.
We propose an image-based visual servoing algorithm of a wheeled mobile robot utilizing a ceiling mounted camera. The visual navigation of a mobile robot is defined as an unconstrained optimization problem to minimize...
详细信息
We propose an image-based visual servoing algorithm of a wheeled mobile robot utilizing a ceiling mounted camera. The visual navigation of a mobile robot is defined as an unconstrained optimization problem to minimize the image difference between the goal position and the position of a mobile robot in the image plane. Full New ton's method is applied for unconstrained optimization. We also propose a method to find the Hessian term of the image error using a secant approximation method. The performance of visual servoing was evaluated using the simulation.
A robot should be able to recognize and estimate the pose of an object in order to grasp it. In addition, the robot should be able to infer the most reasonable strategy for grasping the object, which varies according ...
详细信息
A robot should be able to recognize and estimate the pose of an object in order to grasp it. In addition, the robot should be able to infer the most reasonable strategy for grasping the object, which varies according to the type and pose of the object. In this paper, we design a grasping strategy engine for this purpose and suggest a method for recognizing and estimating the pose of an object with no two-dimensional intensity image. We also introduce our grasping data acquisition system (GDAS) for learning the best grasping strategy. The grasping strategy is composed of the approaching vector, opposition vector, and grasping type. In this paper, we use the iterative closest point (ICP) [1] algorithm for recognizing and estimating the pose of an object, along with an artificial neural network for selecting the best grasping strategy.
This paper introduces the r-learning (robot-learning) system that utilizes robotic interactions to personalize instructions for individual children. A child who is not familiar with using an educational tool to study ...
详细信息
This paper introduces the r-learning (robot-learning) system that utilizes robotic interactions to personalize instructions for individual children. A child who is not familiar with using an educational tool to study could learn readily from educational contents through various interactions with a robot which is based on the behavior control. The contents which are chosen according to a child's learning data extracted by analysis from human-robot interaction data could lift the educational effectiveness. An r-learning scenario is designed by using Petri net to handle exception occurred in a learning process. The robot contents maker and the Open API for operating a robot are described as management utilities for a personalized r-learning system.
Based on the recent IMS Vision Forum held by the International IMS Program (Scheme), the growth engines that would help manufacturing sector economically grow in the future are explored in this paper. Key technologies...
详细信息
Based on the recent IMS Vision Forum held by the International IMS Program (Scheme), the growth engines that would help manufacturing sector economically grow in the future are explored in this paper. Key technologies for manufacturing innovation and environmental sustainability that will be needed to support the growth engines are then sought, along with education for future manufacturing.
In this paper, we suggest an r-learning (robot-learning) system for children who are unfamiliar with educational tools. Our system is characterized with the following features. Firstly, the system provides children wi...
详细信息
In this paper, we suggest an r-learning (robot-learning) system for children who are unfamiliar with educational tools. Our system is characterized with the following features. Firstly, the system provides children with personalized educational instructions considering their learning ability. In our system, learning contents for them are selected according to their learning history extracted from human-robot interaction data. Secondly, our system helps them learn educational contents easily and joyfully through various behavioral interactions with a robot. Third, r-learning scenarios are modeled with Petri-net to handle exception during learning and robot contents can be composed by use of predefined robot behaviors. Finally, we implement these system S/W using OPRoS which is a software platform for robotic services.
暂无评论