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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： O.C. Schrempf U.D. Hanebeck A.J. Schmid H. Worn Intelligent Sensor-Actuator-Systems Laboratory Institute of Computer Science and Engineering Universität Karlsruhe Karlsruhe Germany Institute for Process Control and Robotics Universität Karlsruhe Karlsruhe Germany

This paper introduces the concept of proactive execution of robot tasks in the context of human-robot cooperation with uncertain knowledge of the human's intentions. We present a system architecture that defines the necessary modules of the robot and their interactions with each other. The two key modules are the intention recognition that determines the human user's intentions and the planner that executes the appropriate tasks based on those intentions. We show how planning conflicts due to the uncertainty of the intention information are resolved by proactive execution of the corresponding task that optimally reduces the system's uncertainly. Finally, we present an algorithm for selecting this task and suggest a benchmark scenario.

关键词： Robot sensing systems Intelligent robots Uncertainty Application software Humanoid robots Human robot interaction Bayesian methods Intelligent sensors Laboratories computer science

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Automobile lane detection System-on-Chip integrated with mixed signal mode CMOS image sensor

Automobile lane detection System-on-Chip integrated with mix...

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9th International Symposium on Consumer Electronics 2005, ISCE 2005

作者： Hsiao, Pei-Yung Cheng, Hsien-Chein Yeh, Chun-Wei Huang, Shih-Shinh Fu, Li-Chen IEEE Department of Electronic Engineering Chang Gung University Tao-Yuan Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan Genesyslogic Co. Ltd. Circuit Layout Department Dept. of Electronic Engineering and Information Management Chang Gung University Department of Electrical Engineering Department of Computer Science and Information Engineering National Taiwan University Robotics and Automation Society Automatic Control Society Chinese Automatic Control Society Chinese Institute of Automation Engineers

In this paper, we aim at developing a System-on-Chip, SoC, which can capture image as well as produce vehicle lane map at the same time. We adopt Peak-Finding based lane detection algorithm that can achieve high recognition rate about 96% even under various weather conditions. The features of the proposed SoC are a single low-cost and compact chip which implements the lane detection algorithm with mixed signal mode CMOS image sensor. Therefore, it can be easily used in thousands of consumer electronics for intelligent automobile applications. © IEEE.

关键词： Image sensors

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Experimental validation of multi-vehicle coordination strategies

Experimental validation of multi-vehicle coordination strate...

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2005 American control Conference, ACC

作者： Marshall, J.A. Fung, T. Broucke, M.E. D'Eleuterio, G.M.T. Francis, B.A. Systems Control Group Department of Electrical and Computer Engineering University of Toronto 10 King's College Rd Toronto Ont. M5S 3G4 Canada Space Robotics Group University of Toronto Institute for Aerospace Studies 4925 Dufferin St Toronto Ont. M3H 5T6 Canada

Consequent to previously published theoretical work by Marshall, Broucke, and Francis, this paper summarizes the apparatus and results of multi-vehicle coordination experiments conducted at the University of Toronto institute for Aerospace Studies. These experiments successfully demonstrated the practicality of cyclic pursuit as a distributed control strategy for multiple wheeled-vehicle systems. Moreover, the pursuit-based coordination algorithm was found to be surprisingly robust in the presence of unmodelled dynamics and delays due to sensing and information processing. © 2005 AACC.

关键词： Intelligent vehicle highway systems

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Learning distributed grasp in presence of redundant agents

Learning distributed grasp in presence of redundant agents

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： A.H. Elahibakhsh M. Nili Ahmadabadi F. Janabi-Sharifi B. Nadjar Araabi AI & Robotics Laboratory Center of Excellence for Control and Intelligent Processing Department of Electrical and Computer Eng. Institute for Studies on Theoretical Physics and Mathematics University of Tehran Tehran Iran Robotics and Manufacturing Automation Lab Department of Mechanical and Industrial Engineering Ryerson University Toronto ONT Canada

Learning distributed object grasp by a group of robots with redundant members is the main focus of this paper. In Elahibakhsh, A. H., et al. (2004), we tackled the problem of learning form closure grasp for planar convex objects by multiple non-communicating robots without any information about the shape of objects. In this paper, the problem in presence of redundant agents is investigated. Agents' states and actions are designed such that the group learns grasping different objects using Q-learning method. As the environment is not intelligent enough to assess each agent's effect on the team performance, a credit assignment algorithm based on knowledge evaluation is designed. The proposed method considers the environment credit for the team, number of redundant agents, and the expertness level of each agent in its credit assignment. Applicability of the designed approach is verified through a set of simulations. It is shown that the team learns grasping different objects. Therefore, it is expected that the proposed method can be extended for distributed grasp of deformable objects

关键词： Intelligent robots Learning Robot sensing systems Shape Cognitive robotics robotics and automation Intelligent agent Algorithm design and analysis Grasping Redundancy

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Optimizing supervision and control for industrial furnaces: Predictive control based design 4

Optimizing supervision and control for industrial furnaces: ...

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4th IFAC Workshop Automatic Systems for Building the Infrastructure in Developing Countries, DECOM-TT 2004

作者： Dimirovski, Georgi M. Dinibütün, A. Talha Vukobratovic, Miomir K. Zhao, J. Faculty of Electrical Engineering MK-1000 Skopje SS Cyril and Methodius University Macedonia Computer Engineering Department Faculty of Engineering Acibadem Dogus University Zeamet Sk. 21 Kadikoy IstanbulTR-34722 Turkey Centre of Robotics and Flexible Automation Institute Mihailo Pupin Belgrade11000 Serbia School of Information Science and Engineering Institute of Control Theory Northeastern University Shenyang Liaoning110004 China

A systems re-engineering technique to integrated control and supervision for applications to industrial multi-zone furnaces has been elaborated by using known theories on generalized predictive control and nonlinear programming. This paper presents the derivation of optimizing equations and inequalities. The design is based on the use of general predictive control to provide optimized set-points under the presumption a well designed regulatory control was implemented at the executive level. Digital implementation of control functions are sought within standard computer process control platform for practical engineering and maintenance reasons. Copyright © 2004 IFAC.

关键词： Integrated control

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Scale dynamic adaptation of the local space for assisted teleoperation

Scale dynamic adaptation of the local space for assisted tel...

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IEEE International Conference on robotics and Automation (ICRA)

作者： L.M. Munoz A. Casals J. Amat Dep. Automatic Control and Computer Engineering Technical University of Catalonia Barcelona SPAIN Institute of Robotics CSIC/UPC Barcelona SPAIN

Teleoperation solves several difficulties that current robots can not overcome. The intervention of a human operator in deciding the strategies required to perform some given tasks allows robots to carry out operations in dangerous environments or in areas inaccessible to humans. Despite such task becomes feasible, it is necessary to use methods that assist the operator in its manipulation. This paper describes a method for assisting teleoperation, which is based on the dynamic variation of the scale of the working space to improve the movement precision near the point of interest.

关键词： Orbital robotics Humans Automatic control robotics and automation Medical robotics Feedback control systems Spatial resolution Signal processing Signal resolution

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Optimizing Supervision and control for Industrial Furnaces: Predictive control Based Design

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IFAC Proceedings Volumes 2004年第19期37卷 17-28页

作者： Georgi M. Dimirovski A. Talha Dinibütün Miomir K. Vukobratovic J. Zhao SS Cyril and Methodius University Faculty of Electrical Engineering MK-1000 Skopje Republic of Macedonia Dogus University Computer Engineering Department Faculty of Engineering Acibadem Zeamet Sk. 21 Kadikoy TR-34722 Istanbul Turkey Institute “Mihailo Pupin” Centre of Robotics and Flexible Automation 11000 Belgrade Serbia and Montenegro Northeastern University School of Information Science and Engineering Institute of Control Theory Shenyang Liaoning 110004 P.R. of China

关键词： Complex time-delay processes generalized predictive control integrated control and supervision optimization set-point control

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Workspace deformation based teleoperation for the increase of movement precision

Workspace deformation based teleoperation for the increase o...

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IEEE International Conference on robotics and Automation (ICRA)

作者： A. Casals L. Munoz J. Amat Dep. Automatic Control and Computer Engineering Robotics Institute UPC-Universitat Politicnica de Catalunya Spain Robotics Institute. (IRI) UPC / CSIC UPC-Universitat Politècnica de Catalunya Spain

Teleoperation makes possible the execution of many tasks, that otherwise are not feasible when a human operator can not access to the working area due to dangerousness or environmental conditions, and it is not possible as well, to program the task so as to be performed autonomously, due to its complexity. Nevertheless, manipulation tasks require certain ability from the human operator due to the difficulties that produce the need to operate through control devices that does not fit with the structure of the slave arms. With the aim of increasing the precision capabilities provided by such control interfaces, a vision based procedure designed to deform the space around the working point has been developed. The vision system operates from the detection of the relevant scene elements. This space deformation produces automatically a progressive increase in precision when the robot arm approaches the relevant detected elements.

关键词： Robot kinematics Humans Orbital robotics Automatic control Service robots Medical robotics Intelligent robots Arm robotics and automation Force feedback

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Selection of the best stereo pair in a multi-camera configuration

Selection of the best stereo pair in a multi-camera configur...

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IEEE International Conference on robotics and Automation (ICRA)

作者： J. Amat M. Frigola A. Casals Robotics Institute IRI UPC-CSIC Barcelona Spain Department of Automatic Control and Computer Engineering Technical University Catalunya Barcelona Spain

The analysis of the error of stereo measurements by triangulation is revisited from three points of view: geometrical, statistical and visual quality. When the target is visible by a set of distributed cameras in the workspace, there are multiple combinations of camera pairs adequate to be considered for the location, by triangulation, of the target position. Three-camera placements are analysed evaluating their precision in a short-medium distance. The work presented analyses which combination of stereo measurements gives the best results, and proposes a method for the automatic selection of the most adequate cameras pair.

关键词： Cameras Robot vision systems Force control Automatic control Stereo vision Calibration Uncertainty Pixel Error analysis robotics and automation

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A neural approach to an attentive navigation for 3D intelligent virtual agents

A neural approach to an attentive navigation for 3D intellig...

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IEEE International Conference on Systems, Man and Cybernetics

作者： M. Lozano J. Molina Artec Group Institute of Robotics. Computer Science Department University of Valencia Valencia Spain Neurotechnology Control and Robotics Group Engineering and Automatic Systems Department Politechnic University of Cartagena Spain

This paper presents an attempt to integrate attention and navigation skills in 3D embodied agents (virtual humanoids). The neural model presented has been divided in two main phases. Firstly the environment-categorization phase, where an online pattern recognition and categorization of the agent current sensory input data is carried out by an adaptive resonance driven self organizing neural network, which will finally simulate the agent's short term memory (STM). Secondly, the model must also learn how and when to map its current STM state into the navigation and attention motor layers of the 3D agent. We also review the world modelling and the agent vision system, and finally we present the first results extracted from two of the subsystems which conforms the complete neural model, such as, the environment categorization subsystem and the base navigation neural model.

关键词： Navigation Intelligent agent Intelligent robots robotics and automation Humans Graphics Virtual environment Machine vision computer science Augmented virtuality

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