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Reinforcement learning for particle manipulation with the RodBot
Manipulation of fragile particles at a micron scale is a challenging task. In this project we want to investigate the performance of a reinforcement
learning based method in particle manipulation with a microrobot.
A micro-robot is developed to automate transportation of objects at the micron scale. This robot is actuated by a magnetic field and can manipulate objects due to fluid flow. In order to efficiently manipulate these objects the technique of reinforcement learning should be explored.
Student should know: C++, Linear algebra
Helpful skills: Matlab, Qt
A micro-robot is developed to automate transportation of objects at the micron scale. This robot is actuated by a magnetic field and can manipulate objects due to fluid flow. In order to efficiently manipulate these objects the technique of reinforcement learning should be explored.
Student should know: C++, Linear algebra Helpful skills: Matlab, Qt
- Design of an experimental setup for repeated trials,
- Implementation of a simple method for robot and particle tracking,
- Implementation of a suitable method for the learning,
- Integration of the prepared software with the existing robot control system,
- Training and testing of the prepared algorithms.
- Design of an experimental setup for repeated trials, - Implementation of a simple method for robot and particle tracking, - Implementation of a suitable method for the learning, - Integration of the prepared software with the existing robot control system, - Training and testing of the prepared algorithms.