ROCVMar 8, 2021

Autonomous object harvesting using synchronized optoelectronic microrobots

arXiv:2103.04912v16 citations
Originality Incremental advance
AI Analysis

This enables autonomous micromanipulation tasks in complex environments, potentially improving experimental throughput and enabling cooperative multi-robot operations for applications like biological cell handling, though it is incremental as it builds on existing OETdM technology.

The paper tackled the problem of manual control limiting throughput and cooperation in optoelectronic tweezer-driven microrobots (OETdMs) by developing an automated targeting and path planning approach for open-loop control of multiple microrobots, demonstrating its feasibility in collecting, transporting, and depositing silica microspheres and simulating collection of target cells from dissociated tissue cultures.

Optoelectronic tweezer-driven microrobots (OETdMs) are a versatile micromanipulation technology based on the use of light induced dielectrophoresis to move small dielectric structures (microrobots) across a photoconductive substrate. The microrobots in turn can be used to exert forces on secondary objects and carry out a wide range of micromanipulation operations, including collecting, transporting and depositing microscopic cargos. In contrast to alternative (direct) micromanipulation techniques, OETdMs are relatively gentle, making them particularly well suited to interacting with sensitive objects such as biological cells. However, at present such systems are used exclusively under manual control by a human operator. This limits the capacity for simultaneous control of multiple microrobots, reducing both experimental throughput and the possibility of cooperative multi-robot operations. In this article, we describe an approach to automated targeting and path planning to enable open-loop control of multiple microrobots. We demonstrate the performance of the method in practice, using microrobots to simultaneously collect, transport and deposit silica microspheres. Using computational simulations based on real microscopic image data, we investigate the capacity of microrobots to collect target cells from within a dissociated tissue culture. Our results indicate the feasibility of using OETdMs to autonomously carry out micromanipulation tasks within complex, unstructured environments.

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