The 19th robotics program at the annual AAAI conference was held in Atlanta, Georgia, in July 2010. In this article we give a summary of three components of the exhibition: the Small-Scale Manipulation Challenge: Robo...
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Algorithms for trajectory planning and control for a multiple-vehicles system are investigated. An issue of designing collision-free trajectories on a group of crossing paths is tackled. The trajectories are modeled a...
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This paper gives insight into the system design and hardware architecture of Nancy, which is a social robot in humanoid form that is currently being developed in Social robotics Lab (SRL), Interactive and Digital Medi...
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This paper gives insight into the system design and hardware architecture of Nancy, which is a social robot in humanoid form that is currently being developed in Social robotics Lab (SRL), Interactive and Digital Media Institute, National University of Singapore. In contrast to industrial robots, the design of Nancy focuses on safety issue, social interaction and attractive appearance. In order to achieve these objectives, Nancy is designed to be user-friendly and approachable. The mechanical structure of Nancy is presented in the beginning. After that, the hardware architecture which includes processor system, vision system, audio system, communication system, power system, and motion system, is described systematically. Finally, the roles of integrated sensors are described and implemented works are summarized.
Cooperative multi-agent system is promising in many application domains, such as disaster rescue and military affairs. The system is characterized by its distribution, decentralization and generally organized as a mob...
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This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP...
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This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP and CCD. Each SN computes probabilities of accident with a set of images over time taken at different locations. Once more than one accident being reported, MSN is stimulated and conducts a synthetic decision making process with various information taken from each SN related to the accident. Experimental results show that the proposed cascade system drastically enhance reliability of traffic accident recognition and enables to be set in real environments.
To realize physical human-robot interaction, it is essential for the robot to understand the motion intention of its human partner. In this paper, human motion intention is defined as the desired trajectory in human l...
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To realize physical human-robot interaction, it is essential for the robot to understand the motion intention of its human partner. In this paper, human motion intention is defined as the desired trajectory in human limb model, of which the estimation is obtained based on neural network. The proposed method employs measured interaction force, position and velocity at the interaction point. The estimated human motion intention is integrated to the control design of the robot arm. The validity of the proposed method is verified through simulation.
This paper presents a social interactive robot Nancy that has been developed in Social robotics Laboratory, National University of Singapore. Fundamentally different from factory robots, Nancy's design focuses on ...
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作者:
S. S. GeM. R. SafizadehY. LiSocial Robotics Laboratory
Interactive Digital Media Institute and the Department of Electrical and Computer Engineering National University of Singapore Singapore Robotics Institute
and School of Computer Science and Engineering University of Electronic Science and Technology Chengdu China Social Robotics Laboratory
Interactive Digital Media Institute National University of Singapore Singapore Social Robotics Laboratory
Interactive Digital Media Institute and the NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore
This paper presents the mechanical design of a social robot, Nancy, developed by Social robotics Laboratory, Interactive and Digital Media Institute, National University of Singapore. The objective of our project is t...
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This paper presents the mechanical design of a social robot, Nancy, developed by Social robotics Laboratory, Interactive and Digital Media Institute, National University of Singapore. The objective of our project is to introduce the social robot which is capable to interact with people, especially the elderly, based on fundamental, functional and social tasks. We developed Nancy with multi-module structure and 32 degrees of freedom (DOFs), including 24 and 8 DOFs in upper-body and lower-body, respectively. 8 DOFs are considered in each arm to make Nancy able to imitate human limbs' motion. Nancy's head involves eye and eyelid motions with 3 DOFs which is on top of a 2-DOFs neck. The wheeled-base is designed in such a way to facilitate the multi-directional movements for Nancy. One of our main objectives in Nancy's mechanical design is to obtain powerful and smooth motion, light-weight joints and simple kinematics. They are achieved by Bowden cable-pulley mechanism driven by actuators located in lower-body. Accordingly, all joints are designed to have intersected axes. Most joints are driven by brushless D.C. motors embedded with electrical brake system to stabilize the robot, especially in case of power loss.
In this paper, we present the design of a social robot, Nancy, which is developed as a platform for engaging social interaction. Targeting for a social, safe, interactive and user-friendly robot mate, the design philo...
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In this paper, we present the design of a social robot, Nancy, which is developed as a platform for engaging social interaction. Targeting for a social, safe, interactive and user-friendly robot mate, the design philosophy of Nancy is presented with mechanical, electrical, artificial skin and software specifications. In particular, there are 32 degrees of freedom (DOFs) through the whole body of Nancy, and the social intelligence is implemented based on vision, audio and control subsystems.
The disturbance observer (DOB) is one of the widely-used control methods for robust tracking under plant uncertainties and external disturbances. Typically it is implemented by two (so-called) Q-filters as well as an ...
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ISBN:
(纸本)9781612848006
The disturbance observer (DOB) is one of the widely-used control methods for robust tracking under plant uncertainties and external disturbances. Typically it is implemented by two (so-called) Q-filters as well as an inverse model for the nominal plant. Observing that these two Q-filters have identical dynamics, we propose a reduced-order implementation of the conventional DOB configuration. Moreover, we analyze this newly proposed configuration and claim that the robust stability condition, which has been found for the conventional configuration, still holds for the reduced-order case, and the robust transient performance can also be maintained as before with a saturation function introduced in the feedback loop.
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