4 papers
Experimental Design for Controller Selection in Synthetic Biology
Eric Palanques-Tost, Ron Weiss, Calin Belta
Synthetic biology enables the design of genetic circuits that act as feedback controllers. These controllers are typically designed using computational models, but mismatch between…
STL-based Optimization of Biomolecular Neural Networks for Regression and Control
Eric Palanques-Tost, Hanna Krasowski, Murat Arcak +2
Biomolecular Neural Networks (BNNs), artificial neural networks with biologically synthesizable architectures, achieve universal function approximation capabilities beyond simple b…
Autonomous Vision-Based Magnetic Microrobotic Pushing of Micro-Objects and Cells
Max Sokolich, Ceren Kirmizitas, Sambeeta Das +1
Accurate and autonomous transportation of micro-objects and biological cells can enable significant advances in a wide variety of research disciplines. Here, we present a novel, vi…
Model Predictive Control for Magnetically-Actuated Cellbots
Mehdi Kermanshah, Logan E. Beaver, Max Sokolich +5
This paper presents a control framework for magnetically actuated cellbots, which combines Model Predictive Control (MPC) with Gaussian Processes (GPs) as a disturbance estimator f…