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Gait learning for soft microrobots controlled by light fields

2018

Conference Paper

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Soft microrobots based on photoresponsive materials and controlled by light fields can generate a variety of different gaits. This inherent flexibility can be exploited to maximize their locomotion performance in a given environment and used to adapt them to changing environments. However, because of the lack of accurate locomotion models, and given the intrinsic variability among microrobots, analytical control design is not possible. Common data-driven approaches, on the other hand, require running prohibitive numbers of experiments and lead to very sample-specific results. Here we propose a probabilistic learning approach for light-controlled soft microrobots based on Bayesian Optimization (BO) and Gaussian Processes (GPs). The proposed approach results in a learning scheme that is highly data-efficient, enabling gait optimization with a limited experimental budget, and robust against differences among microrobot samples. These features are obtained by designing the learning scheme through the comparison of different GP priors and BO settings on a semisynthetic data set. The developed learning scheme is validated in microrobot experiments, resulting in a 115% improvement in a microrobot’s locomotion performance with an experimental budget of only 20 tests. These encouraging results lead the way toward self-adaptive microrobotic systems based on lightcontrolled soft microrobots and probabilistic learning control.

Author(s): Alexander von Rohr and Sebastian Trimpe and Alonso Marco and Peer Fischer and Stefano Palagi
Book Title: Proceeding of the International Conference on Intelligent Robots and Systems
Year: 2018
Month: July
Day: 27

Department(s): Intelligent Control Systems, Micro, Nano, and Molecular Systems
Research Project(s):
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

Event Name: International Conference on Intelligent Robots and Systems (IROS)
Event Place: Madrid, Spain

State: To be published

Links: arXiv

BibTex

@inproceedings{vonrohr2018gait,
  title = {Gait learning for soft microrobots controlled by light fields},
  author = {von Rohr, Alexander and Trimpe, Sebastian and Marco, Alonso and Fischer, Peer and Palagi, Stefano},
  booktitle = {Proceeding of the International Conference on Intelligent Robots and Systems},
  month = jul,
  year = {2018},
  month_numeric = {7}
}