In this paper, for the process of radical polymerization, a method is used to obtain basic functions linking the kinetic constants of the process rates. It is shown that when analyzing the conversion curve, depending ...
详细信息
In this paper, we introduce a new control method of quasi-passive dynamic walking for a biped walking robot. the control low uses actuators just only to maintain the passive walking. First, focusing on the contact pha...
详细信息
ISBN:
(纸本)9810474806
In this paper, we introduce a new control method of quasi-passive dynamic walking for a biped walking robot. the control low uses actuators just only to maintain the passive walking. First, focusing on the contact phase of swing leg, the stability analysis of passive walking robot is performed through a discrete-time system of the robot. Second, we propose a new control method of semi-passive walking based on delayed feedback control, which do not require any reference trajectory for walking. Finally, the effectiveness of the control law is shown through several simulations.
In recent years, the inverse pneumatic artificial muscles attained great attention in soft robotics, especially for the wider motion range compared to traditional positive pneumatic actuators. Besides self-sensing is ...
详细信息
ISBN:
(纸本)9781665408288
In recent years, the inverse pneumatic artificial muscles attained great attention in soft robotics, especially for the wider motion range compared to traditional positive pneumatic actuators. Besides self-sensing is a recognized highly desirable property for soft actuators to enable proprioception and to facilitate the soft robots control, a self-sensing strategy for a soft inverse pneumatic muscle was still missing. In this paper, we present the first self-sensing inverse pneumatic artificial muscle in which the reinforcing but compliant element that guides the actuator motion during actuation has not only a mechanical function but, being also electrically conductive, it endows the actuator with self-sensing. Here, the actuator design and manufacturing are described, together with an electromechanical characterization. In addition, we demonstrate its self-sensing capability in a dynamic setting, by predicting the actuator strain from its electric resistance variation, through a calibration model.
In recent years, autonomous robots have proven capable of solving tasks in complex environments. In particular, robot manipulations in activities of daily living (ADL) for service robots have been widely developed. Ho...
详细信息
ISBN:
(纸本)9789897583803
In recent years, autonomous robots have proven capable of solving tasks in complex environments. In particular, robot manipulations in activities of daily living (ADL) for service robots have been widely developed. However, manipulations of grasping an unreachable object in domestic environments still present difficulty. To perform those applications better, we developed an autonomous system with human-in-the-loop that combined the cognitive skills of a human operator with autonomous robot behaviors. In this work, we present techniques for integration the system for assistive mobile manipulation and new strategies to support users in the domestic environment. We demonstrate that the robot can grasp multiple objects with random size at known and unknown table heights. Specifically, we developed three strategies for manipulation. We also demonstrated these strategies using two intuitive interfaces, a visual interface in rviz and a voice user interface with speech recognition. Moreover, the robot can select strategies automatically in random scenarios, which make the robot intelligent and able to make decisions independently in the environment. We demonstrated that our robot shows the capabilities for employment in domestic environments to perform actual tasks.
In this work, a deep learning tool is developed and evaluated to carry out the visual localization task for mobile autonomous robotics. through deep learning, a convolutional neural network (CNN) is trained withthe a...
详细信息
ISBN:
(纸本)9789897584428
In this work, a deep learning tool is developed and evaluated to carry out the visual localization task for mobile autonomous robotics. through deep learning, a convolutional neural network (CNN) is trained withthe aim of estimating the room where an image has been captured, within an indoor environment. this CNN is not only used as tool to solve a room estimation, but it is also used to obtain global-appearance descriptors of the input image from its intermediate layers. the localization task is addressed in two different ways: globally, as an image retrieval problem and hierarchically. About the global localization, the position of the robot is estimated by using a nearest neighbour search between the holistic description obtained from a test image and the training dataset (using the CNN to obtain the descriptors). Regarding the hierarchical localization method, first, the CNN is used to solve the rough localization step and after that, it is also used to obtain global-appearance descriptors;second, the robot estimates its position within the selected room through a nearest neighbour search by comparing the obtained holistic descriptor withthe visual model contained in that room. throughout this work, the localization methods are tested with a visual dataset that provides omnidirectional images from indoor environments under real-operation conditions. the results show that the proposed deep learning tool is an efficient solution to carry out visual localization tasks.
the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal r...
详细信息
the system which allows automating the visual monitoring of the spacecraft ATV rendezvous / separations withthe international space station is being considered. the initial data for this complex is the video signal received from the TV-camera, mounted on the station board. the offered algorithms of this video signal processing in real time allow restoring the basic characteristics of the spacecraft motion with respect to the international space station. the results of the experiments withthe described software and real and virtual video data about the docking approach of the spacecraft withthe international Space Station are being presented. the accuracy of the estimation of the motion characteristics and perspectives of the use of the package are being discussed.
In this paper, we describe a constrained H∞ state feedback controller to stabilize the Rotational/Translational Actuator (RTAC) benchmark problem with L2 disturbance attenuation. the design method requires formulatin...
详细信息
In this paper we present the development process of the small, autonomous mobile robot. the development of the robot is the main part of the interdisciplinary undergraduate course (4(th) semester, 20 ECTS points) at T...
详细信息
ISBN:
(纸本)0780382323
In this paper we present the development process of the small, autonomous mobile robot. the development of the robot is the main part of the interdisciplinary undergraduate course (4(th) semester, 20 ECTS points) at the Copenhagen University College of Engineering, Denmark. the aim of the course is to teach the basics of mathematical modeling, controltheory and how to complete the engineering design project from the specification to the working model of the specified product. During the course we work in teams and build the robots, which perform a compulsory task decided by professors and a free task decided by us (students). Each team consists of 3 to 5 students and has an appointed supervisor, who is one of the supporting professors attached to this course. the course ends with a competition where the fastest, most precise and most elegant robots - 3 STARS - win prizes. this paper describes the process of learning new disciplines, especially controltheory, by combining the theory and practical design. We describe our learning process throughout the project;the advantages and disadvantages connected to this learning by doing method. Finally, we compare the time schedule planned at the beginning of the semester withthe actual one.
In this paper, a fault detection and isolation (FDI) system for propeller impairments of the multirotor UAV is presented. the algorithm is based on the processing of signal vectors from the set of vibration sensors lo...
详细信息
暂无评论