Our paper “Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss” published in Physical Review Letters
Semester: Spring | Year offered: 2021 | Link: Course Website
Optimal path planning and control of microscopic devices navigating in fluid environments is essential for applications ranging from targeted drug delivery to environmental monitoring. These tasks are challenging due to the complexity of microdevice-flow interactions. We introduce a closed-loop control method that optimizes a discrete loss (ODIL) in terms of dynamics and path objectives. In comparison with reinforcement learning, ODIL is more robust, up to 3 orders faster, and excels in high-dimensional action and state spaces, making it a powerful tool for navigating complex flow environments.
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- Our paper “Optimal Navigation in Microfluidics via the Optimization of a Discrete Loss” published in Physical Review Letters
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Address
Herbert S. Winokur Jr. Professor of Computing in Science and Engineering
Area Chair of Applied Mathematics
323 Pierce Hall, 29 Oxford Street Cambridge, MA 02138
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