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Simon Bates and Tom Concolino examine how analytical measurements can guide decisions in automated, closed-loop laboratories. They address limited or proprietary instrument interfaces, reliable connections between hardware and automation, and measurement and analysis workflows that deliver results at the speed an experimental loop needs. The presentation covers orchestration software, instrument integration, sample handling, and questions to resolve with instrument and automation vendors when designing a dependable self-driving laboratory.
Wed, Nov 11 · 16:00 UTC · Online
Yael Parag proposes degrees of isolation and connection as a framework for analysing energy systems, rather than a binary distinction between isolated islands and connected grids. The framework links infrastructure design, governance, operating practices, resource dependence and collective perceptions across spacecraft, community systems, microgrids, islands and countries. Comparative cases examine how security, independence, climate goals, costs, technical constraints, ideology and geopolitics shape these arrangements and change over time. Montserrat illustrates both vulnerabilities and opportunities, including coordinated design of water, sewage and energy microgrids. The lecture also considers how regional exchange, cooperation and shared identity influence resilience, treating energy islands as evolving configurations within wider social and geographical settings.
Recorded
As tiny robots become individually more sophisticated, and larger robots easier to mass produce, a breakdown of conventional disciplinary silos is enabling swarm engineering to be adopted across scales and applications, from nanomedicine to treat cancer, to cm-sized robots for large-scale environmental monitoring or intralogistics. This convergence of capabilities is facilitating the transfer of lessons learned from one scale to the other. Cm-sized robots that work in the 1000s may operate in a way similar to reaction-diffusion systems at the nanoscale, while sophisticated microrobots may have individual capabilities that allow them to achieve swarm behaviour reminiscent of larger robots with memory, computation, and communication. Although the physics of these systems are fundamentally different, much of their emergent swarm behaviours can be abstracted to their ability to move and react to their local environment. This presents an opportunity to build a unified framework for the engineering of swarms across scales that makes use of machine learning to automatically discover suitable agent designs and behaviours, digital twins to seamlessly move between the digital and physical world, and user studies to explore how to make swarms safe and trustworthy. Such a framework would push the envelope of swarm capabilities, towards making swarms for people.
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Henrik I. Christensen examines the scientific and engineering challenges involved in building intelligent robots that assist people. Advances in materials, embedded systems, sensors and machine learning support new combinations of perception, planning and actuation. The lecture considers the models underlying robot perception, planning and control, and how these components must be integrated into useful systems. Applications include customized manufacturing, transportation, security, support for older people and people with disabilities, and safer work for first responders in dangerous environments. Christensen discusses major research trends and the potential influence of these systems on work, home and leisure.
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