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2002
With today’s and tomorrow’s wireless technologies, such as IEEE 802.11, BlueTooth, RF-Lite, and G3, mobile devices will frequently be in close, interactive communication. Many environments, including offices, meeting rooms, automobiles and classrooms, already contain many computers and computerized appliances, and the smart homes of the future will ...
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With today’s and tomorrow’s wireless technologies, such as IEEE 802.11, BlueTooth, RF-Lite, and G3, mobile devices will frequently be in close, interactive communication. Many environments, including offices, meeting rooms, automobiles and classrooms, already contain many computers and computerized appliances, and the smart homes of the future will ...
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A Neural Controller for Mobile Robots
IFAC Proceedings Volumes, 1991Abstract A neural controller for visually guided navigation of a mobile robot in the presence of dynamic obstacles and a vector field of attraction forces is presented. Discrete information, obtained from a raster-type sensor, is subjected to parallel distributed processing aiming at real-time detection of geometrical properties of visual ...
M.B. Zaremba, E. Porada
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Mobility and controllability characteristics of mobile robotic platforms
Proceedings. 1985 IEEE International Conference on Robotics and Automation, 2005Mobile platforms available for use in robotic systems vary enormously in their mobility and in their control characteristics. In particular, the characteristics which are desirable in an autonomous vehicle for unstructured terrain are quite different from those which are optimum in a vehicle for partially structured terrain, such as road following, or ...
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Controlling groups of mobile beamformers
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012In this paper, we address the problem of controlling networks of wireless mobile nodes to propagate information over large distances, while minimizing power consumption and maintaining desired Quality of Service (QoS) guarantees. For this, we rely on collaborative beamforming, where groups of nodes collaborate to adjust the initial phase of their ...
Nikolaos Chatzipanagiotis +3 more
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Modeling and control of a mobile manipulator
Robotica, 1998This paper concerns the modeling and control of a mobile manipulator which consists of a robotic arm mounted upon a mobile platform. The equations of motion are derived using the Lagrange-d'Alembert formulation for the nonholonomic model of the mobile manipulator.
Jae Heon Chung, Steven A. Velinsky
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On tracking control of mobile manipulators
Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065), 2002This paper studies the tracking control problem of mobile manipulators with consideration of the interaction between the mobile platform and the manipulator. A global tracking controller is proposed based on the dynamics of the defined tracking error and the extended Barbalat's lemma.
Wenjie Dong, Yangsheng Xu, Qi Wang
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Controllability of a multibody mobile robot
Fifth International Conference on Advanced Robotics 'Robots in Unstructured Environments, 1991Presents a proof of controllability for multibody mobile robots. An instance of such systems correspond to a car pulling and pushing trailers, like a luggage carrier in an airport. Three modeling levels are built: geometrical, differential and control models respectively.
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Robust control of mobile manipulators
Journal of Robotic Systems, 1996A mobile manipulator is basically a manipulator mounted on a mobile vehicle. This arrangement has some advantages over stationary robots and mobile robots, such as the infinite workspace and the ability to avoid singularities. However, the control problem becomes a sophisticated one.
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Controlled privacy in mobile cloud
2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS), 2015Mobile devices face restrictions due to limitation of resources like life of battery, capacity of memory, power of processor and communication bandwidth specially during mobility and handover. Mobile based cloud computing is getting greater plea amid mobile users to lessen limitations of resource in mobile devices.
Debasish Jana, Debasis Bandyopadhyay
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Modeling mobility in power control
Proceedings of ICC'97 - International Conference on Communications, 2002One of the elements missing in most literature related to power control is mobility. Without it, the performance of a power control scheme and its convergence cannot be reliably predicted. In the paper we use random walk to model mobility. Combining the mobility model with a conventional CCI analysis, we study linear power control in a more dynamic ...
Chin-Tau A. Lea, Li-Chun Wang 0001
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