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ViSIAr (Virtual Sensor Integration Architecture) is an idealised framework for building sensing subsystems of flexible assembly and other robotic systems. This paper considers how it supports the design and analysis phase, and might therefore support the exchange of software solutions to sensing...
Robotics researchers have been unable to capitalize easily on existing software components to speed up their development efforts and maximize their system's capabilities. A component-based approach for building the software for robotics systems can provide reuse and sharing abilities to the...
We present a case study of reinforcement learning on a real robot that learns how to back up a trailer and discuss the lessons learned about the importance of proper experimental procedure and design. We identify areas of particular concern to the experimental robotics community at large. In...
Two major themes of our research include the creation of mobile robot systems that are robust and adaptive in rapidly changing environments, and the view of integration as a basic research issue. Where reasonable, we try to use the same representations to allow different components to work more...
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