Uncalibrated Visual Servo Control of Magnetically Actuated Microrobots in a Fluid Environment
نویسندگان
چکیده
Microrobots have a number of potential applications for micromanipulation and assembly, but also offer challenges in power and control. This paper describes an uncalibrated vision-based control system for magnetically actuated microrobots operating untethered at the interface between two immiscible fluids. The microrobots are 20 μm thick and approximately 100–200 μm in lateral dimension. Several different robot shapes are investigated. The robots and fluid are in a 20 × 20 × 15 mm vial placed at the center of four electromagnets. Pulse width modulation of the electromagnet currents is used to control robot speed and direction. Given a desired position, a controller based on recursive least square estimation drives the microrobot to the goal without a priori knowledge of system parameters such as drag coefficients or intrinsic and extrinsic camera parameters. Results are verified experimentally using a variety of microrobot shapes and system configurations.
منابع مشابه
TIME OPTIMAL SLEW MANEUVER OF MAGNETICALLY ACTUATED LEO SATELLITES
Conventional magnetic attitude control methodologies require several orbital periods to accomplish the required attitude maneuvers due to the existence of an uncontrollable axis, namely the local Earth’s magnetic field vector. Since in some attitude maneuver missions the elapsed time is of critical importance, those time-consuming controllers are not satisfactory and we need a much faster contr...
متن کاملControlled Magnetic Propulsion of Floating Polymeric Two-Dimensional Nano-Objects
Soft-bodied magnetically actuated microrobots could be developed by including controlled dispersions of magnetic nanoparticles into polymeric micro-fabricated structures. The characterization and actuation of magnetically active soft-bodied microrobots by tailored magnetic fields is, thus, a key issue for the design, full control and further development of these mobile micro-systems. In this wo...
متن کاملLearning probabilistic models for optimal visual servo control of dynamic manipulation
We present an experiment in sequential visual servo control of a dynamic manipulation task with unknown equations of motion and feedback from an uncalibrated camera. Our algorithm constructs a model of a Markov decision process (MDP) by means of grounding states in observed trajectories, and uses the model to find a control policy based on visual input, which maximizes a prespecified optimal co...
متن کاملUncalibrated eye-in-hand visual servoing: an LMI approach
Purpose – The purpose of this paper is to present the control of six degrees of freedom (PUMA560) robotic arm using visual servoing, based upon linear matrix inequality (LMI). The aim lies in developing such a method that neither involves camera calibration parameters nor inverse kinematics. The approach adopted in this paper includes transpose Jacobian control; thus, inverse of the Jacobian ma...
متن کاملLearning State Grounding for Optimal Visual Servo Control of Dynamic Manipulation
We present an experiment in sequential visual servo control of a dynamic manipulation task with unknown equations of motion and feedback from an uncalibrated camera. Our algorithm constructs a model of a Markov decision process (MDP) by means of grounding states in observed trajectories, and uses the model to find a control policy based on visual input, which maximizes a prespecified optimal co...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Micromachines
دوره 5 شماره
صفحات -
تاریخ انتشار 2014