The Experts below are selected from a list of 54288 Experts worldwide ranked by ideXlab platform
John R. Hauser - One of the best experts on this subject based on the ideXlab platform.
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CDC - Trajectory optimization for vehicles in a Constrained Environment
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Florian A Bayer, John R. HauserAbstract:An approach for trajectory optimization for vehicles maneuvering in a Constrained Environment is developed. Within this framework, a benchmark problem, the minimimzation of the transit time of a point mass vehicle through a chicane is proposed. This problem is solved using the projection operator Newton method with barrier functions to manage the acceleration and roadwidth constraints. The numerical solution of the benchmark problem is analyzed in detail as is the characteristics of the solution itself.
Florian A Bayer - One of the best experts on this subject based on the ideXlab platform.
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trajectory optimization for vehicles in a Constrained Environment
Conference on Decision and Control, 2012Co-Authors: Florian A Bayer, J HauserAbstract:An approach for trajectory optimization for vehicles maneuvering in a Constrained Environment is developed. Within this framework, a benchmark problem, the minimimzation of the transit time of a point mass vehicle through a chicane is proposed. This problem is solved using the projection operator Newton method with barrier functions to manage the acceleration and roadwidth constraints. The numerical solution of the benchmark problem is analyzed in detail as is the characteristics of the solution itself.
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CDC - Trajectory optimization for vehicles in a Constrained Environment
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012Co-Authors: Florian A Bayer, John R. HauserAbstract:An approach for trajectory optimization for vehicles maneuvering in a Constrained Environment is developed. Within this framework, a benchmark problem, the minimimzation of the transit time of a point mass vehicle through a chicane is proposed. This problem is solved using the projection operator Newton method with barrier functions to manage the acceleration and roadwidth constraints. The numerical solution of the benchmark problem is analyzed in detail as is the characteristics of the solution itself.
Yuechao Wang - One of the best experts on this subject based on the ideXlab platform.
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ROBIO - Modeling and control of wheeled mobile robot in Constrained Environment based on hybrid control framework
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009Co-Authors: Jianning Hua, Yujie Cui, Wei Ding, Yuechao WangAbstract:This article addresses the hybrid control method for wheeled mobile robot in Constrained Environment. Wheeled mobile robots, which are characterized by nonholonomic constraints, are particularly difficult to control since Environment constraints should be taken into account sometimes. Traditional control methods, which are based on precise models of Environment, may lead to great challenges in determining suitable control laws to steer wheeled mobile robots. To enhance autonomy of wheeled mobile robots, hybrid system frameworks which consider simultaneously the control and decision-making issues are required. In this paper, the wheeled mobile robot which operates in a Constrained Environment is modeled as a 3-layered hybrid architecture: finite state machine for the decision-making process, wheeled mobile robot system for the continuous state plant, while the interface as the interaction between the continuous dynamics and the decision-making process. It is obvious that this hybrid architecture is particularly useful in describing the interactions between discrete and continuous components that exist simultaneously in robotic systems. Simulation results show that the proposed method is effective for the control of wheeled mobile robots.
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ROBIO - Modeling and control of wheeled mobile robot in Constrained Environment based on hybrid control framework
2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2009Co-Authors: Jianning Hua, Yujie Cui, Wei Ding, Yuechao WangAbstract:This article addresses the hybrid control method for wheeled mobile robot in Constrained Environment. Wheeled mobile robots, which are characterized by nonholonomic constraints, are particularly difficult to control since Environment constraints should be taken into account sometimes. Traditional control methods, which are based on precise models of Environment, may lead to great challenges in determining suitable control laws to steer wheeled mobile robots. To enhance autonomy of wheeled mobile robots, hybrid system frameworks which consider simultaneously the control and decision-making issues are required. In this paper, the wheeled mobile robot which operates in a Constrained Environment is modeled as a 3-layered hybrid architecture: finite state machine for the decision-making process, wheeled mobile robot system for the continuous state plant, while the interface as the interaction between the continuous dynamics and the decision-making process. It is obvious that this hybrid architecture is particularly useful in describing the interactions between discrete and continuous components that exist simultaneously in robotic systems. Simulation results show that the proposed method is effective for the control of wheeled mobile robots. © 2009 IEEE.Link_to_subscribed_fulltex
Yunhui Liu - One of the best experts on this subject based on the ideXlab platform.
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vision based cable assembly in Constrained Environment
Robotics and Biomimetics, 2018Co-Authors: Chenhang Jiao, Xin Jiang, Yunhui LiuAbstract:In this paper, we proposed a vision based method for automatic cable assembly conducted in Constrained Environment. The primary difficult issue involved in such tasks is to avoid the possible contact between the cable and the surrounding Environment. The solution to this problem is combination of cable deformation control and obstacle avoidance control based on artificial potential field method. Both of the control utilize the vision feedback. The cable deformation control does not require a precise model of the cable. The obstacle avoidance method ensures that the cable will not contact with the surrounding obstacles. The effectiveness of the proposed method is verified by a cable assembly experiment conducted by using a URS robot manipulator.
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ROBIO - Vision Based Cable Assembly in Constrained Environment
2018 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018Co-Authors: Chenhang Jiao, Xin Jiang, Yunhui LiuAbstract:In this paper, we proposed a vision based method for automatic cable assembly conducted in Constrained Environment. The primary difficult issue involved in such tasks is to avoid the possible contact between the cable and the surrounding Environment. The solution to this problem is combination of cable deformation control and obstacle avoidance control based on artificial potential field method. Both of the control utilize the vision feedback. The cable deformation control does not require a precise model of the cable. The obstacle avoidance method ensures that the cable will not contact with the surrounding obstacles. The effectiveness of the proposed method is verified by a cable assembly experiment conducted by using a URS robot manipulator.
Herman D Tolentino - One of the best experts on this subject based on the ideXlab platform.
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web based public health geographic information systems for resources Constrained Environment using scalable vector graphics technology a proof of concept applied to the expanded program on immunization data
International Journal of Health Geographics, 2006Co-Authors: Raoul Kamadjeu, Herman D TolentinoAbstract:Background Geographic Information Systems (GIS) are powerful communication tools for public health. However, using GIS requires considerable skill and, for this reason, is sometimes limited to experts. Web-based GIS has emerged as a solution to allow a wider audience to have access to geospatial information. Unfortunately the cost of implementing proprietary solutions may be a limiting factor in the adoption of a public health GIS in a resource-Constrained Environment. Scalable Vector Graphics (SVG) is used to define vector-based graphics for the internet using XML (eXtensible Markup Language); it is an open, platform-independent standard maintained by the World Wide Web Consortium (W3C) since 2003. In this paper, we summarize our methodology and demonstrate the potential of this free and open standard to contribute to the dissemination of Expanded Program on Immunization (EPI) information by providing interactive maps to a wider audience through the Internet.