检索结果-内蒙古大学图书馆

IEEE International Conference on robotics and Automation (ICRA)

作者： Saket Joshi Paul Schermerhorn Roni Khardon Matthias Scheutz School of Electrical Engineering and Computer Science Oregon State University Corvallis OR USA Cognitive Science Program Indiana University Bloomington IN USA Department of Computer Science Tufts University Medford MA USA

Hybrid reactive-deliberative architectures in robotics combine reactive sub-policies for fast action execution with goal sequencing and deliberation. The need for replanning, however, presents a challenge for reactivity and hinders the potential for guarantees about the plan quality. In this paper, we argue that one can integrate abstract planning provided by symbolic dynamic programming in first order logic into a reactive robotic architecture, and that such an integration is in fact natural and has advantages over traditional approaches. In particular, it allows the integrated system to spend off-line time planning for a policy, and then use the policy reactively in open worlds, in situations with unexpected outcomes, and even in new environments, all by simply reacting to a state change executing a new action proposed by the policy. We demonstrate the viability of the approach by integrating the FODD-Planner with the robotic DIARC architecture showing how an appropriate interface can be defined and that this integration can yield robust goal-based action execution on robots in open worlds.

关键词： Robot sensing systems Planning Approximation methods Abstracts computer architecture

来源：评论

学校读者我要写书评

暂无评论

Reports of the AAAI 2011 conference workshops

Reports of the AAAI 2011 conference workshops

引用

作者： Agmon, Noa Agrawal, Vikas Aha, David W. Aloimonos, Yiannis Buckley, Donagh Doshi, Prashant Geib, Christopher Grasso, Floriana Green, Nancy Johnston, Benjamin Kaliski, Burt Kiekintveld, Christopher Law, Edith Lieberman, Henry Mengshoel, Ole J. Metzler, Ted Modayil, Joseph Oard, Douglas W. Onder, Nilufer O'Sullivan, Barry Pastra, Katerina Precup, Doina Ramachandran, Sowmya Reed, Chris Sariel-Talay, Sanem Selker, Ted Shastri, Lokendra Singh, Satinder Smith, Stephen F. Srivastava, Siddharth Sukthankar, Gita Uthus, David C. Williams, Mary-Anne Department of Computer Science University of Texas at Austin United States Center for Knowledge Driven Information Systems Infosys Labs India Adaptive Systems Section Naval Research Laboratory Washington DC United States Department of Computer Science University of Maryland College Park United States EMC's Center of Excellence in Ireland Research Europe at EMC Ireland Department of Computer Science University of Georgia United States School of Informatics University of Edinburgh United Kingdom Department of Computer Science University of Liverpool United Kingdom Department of Computer Science University of North Carolina Greensboro United States Faculty of Engineering and Information Technology University of Technology Sydney Australia VeriSign Inc. United States Department of Computer Science University of Texas at El Paso United States Machine Learning Department Carnegie Mellon University United States Massachusetts Institute of Technology Media Laboratory United States Carnegie Mellon University's Silicon Valley Campus United States Darrell W. Hughes Program for Religion and Science Dialogue Oklahoma City University United States Department of Computing Science University of Alberta Canada College of Information Studies Institute for Advanced Computer Studies University of Maryland College Park United States Department of Computer Science Michigan Technological University United States Department of Computer Science University College Cork Ireland Cognitive Systems Research Insitute Athens Greece School of Computer Science McGill University Canada Stottler Henke Inc. United States School of Computing University of Dundee United Kingdom Department of Computer Engineering Istanbul Technical University Turkey Convergence Lab Infosys Technologies Ltd. United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor United States Robotics Institute Carnegie Mellon University United States University of Wisconsin

The AAAI-11 workshop program was held Sunday and Monday, August 7-18, 2011, at the Hyatt Regency San Francisco in San Francisco, California USA. The AAAI-11 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages;Analyzing Microtext;Applied Adversarial Reasoning and Risk Modeling;Artificial Intelligence and Smarter Living: The Conquest of Complexity;Artifiicial Intelligence for Data Center Management and Cloud Computing;Automated Action Planning for Autonomous Mobile Robots;Computational Models of Natural Argument;Generalized Planning;Human Computation;Human-Robot Interaction in Elder Care;Interactive Decision Theory and Game Theory, 2010;Language-Action Tools for Cognitive Artificial Agents: Integrating Vision, Action, and Language;Lifelong Learning from Sensorimotor Experience;Plan, Activity, and Intent Recognition;and Scalable Integration of Analytics and Visualization. This article presents short summaries of those events. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Human robot interaction

来源：评论

学校读者我要写书评

暂无评论

Image segmentation based on trickle-up and trickle-down visual pathway in primate

引用

Journal of Computational Information Systems 2012年第9期8卷 3757-3765页

作者： Hu, Dekun Yang, Simon X. Gregori, Stefano Li, Jianping Fu, Bo University of Electronic Science and Technology of China School of Computer Science and Engineering Jianshe Road Chengdu 610054 China University of Guelph School of Engineering Advanced Robotics and Intelligent Systems Lab. Guelph Ont. N1G 2W1 Canada

To locate the object accurately in a scene for further vision processing, a novel bio-inspired model for image segmentation is proposed, which closely follows the computation of trickle-up and trickle-down processing in primate visual pathways. The trickle-up stage is a parallel modular structure consisting of three segmenting operators implementing the function as the parvocellular, magnocellular and koniocelluar pathways. The computation model of trickle-down path, predicts incoming stimuli based on the prior knowledge of the scenes. The proposed approach is applied to several segmentation experiments of clustering conditions, the results demonstrate that the performance of the proposed approach surpasses those achieved by previous top-down or bottom-up schemes on figure-ground segmentation. © 2011 by Binary Information Press.

关键词： Image segmentation

来源：评论

学校读者我要写书评

暂无评论

Intermediate point norm optimal iterative learning control

Intermediate point norm optimal iterative learning control

引用

51st IEEE Conference on Decision and Control, CDC 2012

作者： Owens, David H. Freeman, Chris T. Dinh, Thanh Van Department of Automatic Control and Systems Engineering University of Sheffield Mappin Street Sheffield S1 3JD United Kingdom School of Electronics and Computer Science University of Southampton Highfield SO17 1BJ United Kingdom Advanced Robotics Division Italian Institute of Technology Genoa Italy

A Norm-Optimal Iterative Learning Control (NOILC) solution is developed for the problem when tracking is only required at a subset of isolated time points along the trial duration. Well-defined convergence properties are presented, along with design guidelines and supporting experimental results using an electromechanical test facility. © 2012 IEEE.

关键词： Learning algorithms

来源：评论

学校读者我要写书评

暂无评论

Editorial

引用

Automatika 2012年第2期53卷 103-106页

作者： Martínez-Salamero, Luis Milanovič, Miro Rovira i Virgili University School of Electrical and Computer Engineering Department of Electrical Electronic and Automatic Control Engineering Spain University of Maribor Faculty of Electrical Engineering and Computer Science Institute for Robotics Slovenia

来源：评论

学校读者我要写书评

暂无评论

Continuous Reactive-based Position-Attitude Control of Quadrotors

Continuous Reactive-based Position-Attitude Control of Quadr...

引用

American Control Conference

作者： Anand Sanchez Vicente Parra-Vega Chinpei Tang Fatima Oliva-Palomo Carlos Izaguirre-Espinosa Robotics and Advanced Manufacturing Division Research Center for Advanced Studies (Cinvestav) Saltillo Campus Mexico Faculty of Engineering The Erik Johnson School of Engineering and Computer Science University of Texas at Dallas USA

ISBN: (纸本)9781457710957

A new control scheme for position-orientation tracking of underactuated quadrotor robotic vehicle is proposed. A quaternion-based sliding surface parametrizes the open-loop error equation of orientation dynamics, then a second order sliding mode (SOSM) is synthesized for global exponential stabilization of attitude coordinates along an orientation equilibrium manifold. This SOSM for any initial condition leads to a simplified design of a torque PD controller for position dynamics, for globally uniformly ultimately bounded of position trajectories. The SOSM reacts to the effect of the PD as if it were an endogenous persistent disturbance, which vanishes until it reaches its equilibrium position manifold. In contrast to other results that consider the full model without linearization nor further simplifications, our proposal yields a controller which is smooth and does not require the dynamic model. Since the parametrization of attitude representation is global, aggressive maneuvering capabilities are exhibited. Simulations are presented for a variety of flight regimes, including carry out helixes and loops at high angular velocities. Real-time experiments provide a glimpse of the closed-loop performance for a custom made quadrotor.

关键词： Vehicle dynamics Quaternions Strontium Torque Manifolds Angular velocity Attitude control

来源：评论

学校读者我要写书评

暂无评论

Biologically inspired intrinsically motivated learning for service robots based on novelty detection and habituation

Biologically inspired intrinsically motivated learning for s...

引用

IEEE International Conference on robotics and Biomimetics

作者： Yiannis Gatsoulis Chris Burbridge T. Martin McGinnity Intelligent Systems Research Centre Faculty of Computing and Engineering University of Ulster Derry UK Intelligent Robotics Laboratory School of Computer Science University of Birmingham Birmingham UK

The effective operation of service robots relies on developmental programs that allow the robot to expand its knowledge about its dynamic operating environment. Motivation theories from neuroscience and neuropsychology study the underlying mechanisms that drive the engagement of biological creatures to certain activities, such as learning. This research uses a physical Willow Garage PR2 robot, which is equipped with a cumulative learning mechanism driven by the intrinsic motivation of novelty detection based on computational models of biological habituation. It cumulatively learns the 360° appearance of novel real-world objects by picking them up. This paper discusses the theoretical motivations and background information on intrinsic motivations as novelty detection. The results and conclusions from the experimental study are presented.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Age-Group Classification of Facial Images

Age-Group Classification of Facial Images

引用

International Conference on Machine Learning and Applications (ICMLA)

作者： Li Liu Jianming Liu Jun Cheng Shenzhen Institutes of Advanced Technolozv Chinese Academv of Science Computer Science and Engineering Department School of Guilin University of Electronic Technology Guilin China Guangdong Provincial Key Laboratory of Robotics and Intelligent System

This paper presents the age-group classification based on facial images. We perform age-group classification by dividing ages into five age groups according to the incremental regulation of age. Features are extracted from face images through Active Appearance Model (AAM), which describe the shape and gray value variation of face images. Principle Component Analysis (PCA) is adopted to reduce the dimensions and Support Vector Machine (SVM) classifier with Gaussian Radian Basis Function (RBF) kernel is trained. Experimental results demonstrate that AAM can improve the performance of age estimation.

关键词： Machine learning

来源：评论

学校读者我要写书评

暂无评论

Fixed Frequency, Variable Amplitude (FiFVA) Actuation Systems for Micro Aerial Vehicles

Fixed Frequency, Variable Amplitude (FiFVA) Actuation System...

引用

IEEE International Conference on robotics and Automation (ICRA)

作者： Ratti, Jayant Jones, Emanuel Vachtsevanos, George Robotics Program School of Electrical and Computer Engineering USA

ISBN: (纸本)9781612843858

Micro Aerial Vehicles (MAVs) have gained a significant amount of research lately, with a number of universities and industry sponsors paving the way with micro flying robots to perform Intelligence, Surveillance and Reconnaissance (ISR) Missions. However, much of the work done in flapping wing MAVs till date has not shown performance improvements over their Vertical Take Off and Landing (VTOL), rotary-wing counterparts. Research and development over the years has shown that insects and birds have unmatched flying capabilities in the Low Reynolds Number Regime. Their phenomenal flight performance is attributed to among others the highly energy efficient actuation systems and their power to weight ratios. The paper proposes and illustrates new and energy-efficient actuation mechanisms and incorporating them into MAVs. The paper begins by elaborating on the background of our research and the need for energy efficiency in MAVs;followed by showcasing resonant, elastic/restorative actuation mechanisms and their control methodology to reduce flight-actuation energy requirements. In conclusion, the paper contrasts and compares all the actuation systems for power intake, scalability and mechanical complexity.

关键词： Actuators Coils Couplings Frequency modulation Gears Springs Switches

来源：评论

学校读者我要写书评

暂无评论

A novel swarm intelligence algorithm and its application in solving wireless sensor networks coverage problems

引用

Journal of Networks 2012年第12期7卷 2037-2043页

作者： Mo, Yuanbin Liu, Jizhong Wang, Baolei Jonathan Wu, Q.M. College of Mathematics and Computer Science Guangxi University for Nationalities Nanning 530006 China School of Mechanical and Electrical Engineering Institute of Robotics of Nanchang University Nanchang University Nanchang 330031 China Department of Electrical and Computer Engineering Computer Vision and Sensing Systems Laboratory University of Windsor Windsor N9B3P4 Canada

Wireless sensor networks (WSNs) have attracted a great deal of research due to their wide-range of potential applications. Sensor deployment and coverage problems are their important issues. This article briefly introduces the principle of swarm intelligence (SI). A novel SI algorithm based on information sharing of Particle Swarm Optimization (PSO) and diversity maintenance mechanism of Artificial Immune System (AIS) is designed and the model of coverage problems is given. Its applications in solving different deterministic and random coverage problems are given. The algorithm used in obtaining maximum coverage probability with given number of sensor nodes and minimum number of sensor nodes with required coverage probability of WSNs deterministic coverage, and determining the selected sensor nodes with coverage probability and connectivity requirement of WSNs random coverage, are analyzed in detail. The simulation results show the algorithm is practical. The applications of SI on K- coverage and connectivity problems in the future are also projected in the article. © 2012 ACADEMY PUBLISHER.

关键词： Swarm intelligence

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：