5 research outputs found

    Dynamic Resource Allocation for Efficient Sharing of Services from Heterogeneous Autonomous Vehicles

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    A novel dynamic resource allocation model is introduced for efficient sharing of services provided by ad hoc assemblies of heterogeneous autonomous vehicles. A key contribution is the provision of capability to dynamically select sensors and platforms within constraints imposed by time dependencies, refueling, and transportation services. The problem is modeled as a connected network of nodes and formulated as an integer linear program. Solution fitness is prioritized over computation time. Simulation results of an illustrative scenario are used to demonstrate the ability of the model to plan for sensor selection, refueling, collaboration, and cooperation between heterogeneous resources. Prioritization of operational cost leads to missions that use cheaper resources but take longer to complete. Prioritization of completion time leads to shorter missions at the expense of increased overall resource cost. Missions can be successfully replanned through dynamic reallocation of new requests during a mission. Monte Carlo studies on systems of increasing complexity show that good solutions can be obtained using low time resolutions, with small time windows at a relatively low computational cost. In comparison with other approaches, the developed integer linear program model provides best solutions at the expense of longer computation time

    Miniature Magnetic Robots For In-Pipe Locomotion

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    Inspection of both small and large diameter bore pipelines for pipe integrity and defect identification with a single system has previously been impractical; especially using wall-press locomotion methods with low adaptive range. A miniature magnetic wallclimbing robot has been developed as a robotic solution for the inspection of 50mm bore diameter pipelines which can scale in-pipe geometry obstacles to access larger connected pipelines. Using magnetic arrays directed through steel flux plates within the wheels, the robot uses magnetic forces to adhere to the pipe. The system is 3D printed and includes soft printed material rubber wheels. The robot prototype is wirelessly driven, controlled remotely through serial Bluetooth communication radio at 2.4 GHz rated up to 100m. The robot’s unique compact geometry and magnetic design allows it to scale concave rightangle wall cases in just a 50mm diameter bore. By entering pipe networks through these small existing access points the robot removes the need for expensive drilling procedures required to fit launch vessels

    Meeting sustainable development goals via robotics and autonomous systems

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    Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management. While they will play a fundamental role in delivering the UN Sustainable Development Goals, associated opportunities and threats are yet to be considered systematically. We report on a horizon scan evaluating robotics and autonomous systems impact on all Sustainable Development Goals, involving 102 experts from around the world. Robotics and autonomous systems are likely to transform how the Sustainable Development Goals are achieved, through replacing and supporting human activities, fostering innovation, enhancing remote access and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions and reducing freedom and privacy through inadequate governance. Although predicting future impacts of robotics and autonomous systems on the Sustainable Development Goals is difficult, thoroughly examining technological developments early is essential to prevent unintended detrimental consequences. Additionally, robotics and autonomous systems should be considered explicitly when developing future iterations of the Sustainable Development Goals to avoid reversing progress or exacerbating inequalities

    SAS: SMA Aiding Sleeve

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    This paper presents a new design of an arm exoskeleton using shape memory alloy wires and springs embedded in fabric and taking the form of a sleeve. The device is intended to facilitate everyday life tasks by providing the user with an easily operated lift aiding device. The “SMA Aiding Sleeve” will bring extra lifting power to various classes of users (medical and non-medical). This paper presents the details of the design including the hardware and control scheme. The prototype preliminary tests provide encouraging results in terms of controllability and actuation. The results demonstrate the feasibility of position control

    Meeting sustainable development goals via robotics and autonomous systems

    Get PDF
    Robotics and autonomous systems are reshaping the world, changing healthcare, food production and biodiversity management. While they will play a fundamental role in delivering the UN Sustainable Development Goals, associated opportunities and threats are yet to be considered systematically. We report on a horizon scan evaluating robotics and autonomous systems impact on all Sustainable Development Goals, involving 102 experts from around the world. Robotics and autonomous systems are likely to transform how the Sustainable Development Goals are achieved, through replacing and supporting human activities, fostering innovation, enhancing remote access and improving monitoring. Emerging threats relate to reinforcing inequalities, exacerbating environmental change, diverting resources from tried-and-tested solutions and reducing freedom and privacy through inadequate governance. Although predicting future impacts of robotics and autonomous systems on the Sustainable Development Goals is difficult, thoroughly examining technological developments early is essential to prevent unintended detrimental consequences. Additionally, robotics and autonomous systems should be considered explicitly when developing future iterations of the Sustainable Development Goals to avoid reversing progress or exacerbating inequalities
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