The active guidance of magnetic particles inside biological organisms for drug delivery, cell separation, and protein manipulation has been actively pursued in biomedical research for many years. Recent advances in th...
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The active guidance of magnetic particles inside biological organisms for drug delivery, cell separation, and protein manipulation has been actively pursued in biomedical research for many years. Recent advances in the integration of magnetic materials in MEMS are enabling the convergence of these two technologies towards the realization of wireless magnetically guided biomedical microrobots. This paper discusses some of the fundamental design issues for a biomedical microrobot that is actively steered in body fluids using magnetic fields. The effects of miniaturization on magnetic, fluid drag, and gravity/buoyancy forces and on control stability are analyzed. The advantages of using hard magnetic materials and the state of the art in the integration of hard magnetic materials into MEMS devices are discussed. The analysis indicates that untethered microrobots capable of being navigated under external control within biological organisms including the human body is a realistic goal.
A CAD model based visual tracking system for the flexible automation of 3D microassembly processes is presented. The system achieves six degrees-of-freedom tracking of MEMS components in real-time (30 Hz). The experim...
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A CAD model based visual tracking system for the flexible automation of 3D microassembly processes is presented. The system achieves six degrees-of-freedom tracking of MEMS components in real-time (30 Hz). The experimental results indicate a 1/spl sigma/ precision of 1.0 /spl mu/m and a positioning accuracy of 2%. A major source of errors in model based tracking is due to ambiguous object configurations with closely spaced edges. We also present a real-time image space potential method that utilizes the readily available model information to reduce these errors and improve tracking robustness.
Current laparoscopic techniques for intraocular surgery require that the vitreous humor is removed and at least three cannulas are inserted through the sidewalls of the eye. This paper investigates an alternate intrao...
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Current laparoscopic techniques for intraocular surgery require that the vitreous humor is removed and at least three cannulas are inserted through the sidewalls of the eye. This paper investigates an alternate intraocular surgical technique based on the use of wireless microrobots guided by external magnetic fields. Issues investigated include the effects of magnetic and viscous drag forces faced by magnetic microrobots in the vitreous humor and the 3D visual servoing of these microrobots using a single microscope view. A new active defocused tracking method is proposed for visually servoing the microrobot along the optical axis of the microscope. This method uses a purposely defocused view of the microrobot to unambiguously resolve depth while servoing. Experimental results demonstrating the method with a microrobot visually servoed in 3D at 60 Hz using a single microscope view are presented.
MEMS technology and devices have proven their importance in facilitating single cell studies by providing quantitative information on cellular and sub-cellular levels. This paper reviews existing techniques for cellul...
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MEMS technology and devices have proven their importance in facilitating single cell studies by providing quantitative information on cellular and sub-cellular levels. This paper reviews existing techniques for cellular and sub-cellular force measurement and molecular detection using MEMS-based devices. Literature on these techniques and sample devices is reviewed. The significance and limitations of various approaches are analyzed.
The present work is an attempt to show an way of applying the univariate marginal distribution algorithm to nonstationary environments. The main idea used for this purpose is to introduce mutation (to increase diversi...
In this work, we propose a new framework for better deployment and utilization of robots in our uncertain, unstructured everyday environments. Programming robots can be a very time-consuming process and seems almost i...
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In this work, we propose a new framework for better deployment and utilization of robots in our uncertain, unstructured everyday environments. Programming robots can be a very time-consuming process and seems almost impossible for ordinary end users. To cope with many challenges in the user programming, this work is to provide an open environment for building robot programming automatically, where we have robots learn how to accomplish commanded tasks interacting with the object. An integrated sensing and computing tag is embedded into every single object in the environment. In the robot controller, only the basic software libraries for low-level robot motion control are provided by the robot manufacturer. The main contributions of this work is to develop the knowledge integrator platform that we call Omniscient Organizer that generates the application programs and send them to the robot controller through networks. In the Omniscient Organizer, the object-related information downloaded from the object web server merges into robot control software based on the task commands from the human. We have built a test bed and demonstrated that a robot can perform common household tasks such as clearing the table within the proposed framework.
Semi-autonomous to fully autonomous robots rely on some form of data collection to operate in their environment. This has traditionally been accomplished using sonar or infra-red sensors to measure the robot's pro...
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Semi-autonomous to fully autonomous robots rely on some form of data collection to operate in their environment. This has traditionally been accomplished using sonar or infra-red sensors to measure the robot's proximity to nearby objects. The most recent of efforts rely on sophisticated sensors, such as LIDAR and stereo vision, and result in solutions which are both expensive economically and computationally. Furthermore, these approaches often provide an overflow of data requiring a great deal of processing. This paper discusses an alternative method using a single camera sampling images periodically to calculate the flow within an image and provide sufficient information to allow a small autonomous robot to navigate a corridor and react to obstacles. This method was implemented on a small robotic platform within an RT-Linux environment. Image data was collected using a CMUCam.
Representation and recognition of events in a video is important for a number of tasks such as video surveillance, video browsing and content based video indexing. This paper describes the results of a "Challenge...
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Whole-body dynamic actions under various contacts with the environment will be very important for future humanoid robots to support human tasks in unstructured environments. Such skills are very difficult to realize u...
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This paper presents a deformable object tracking algorithm based on the boundary element method (BEM). BEM differs from the finite element method (FEM) in that only the boundary of the object needs to be meshed for BE...
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This paper presents a deformable object tracking algorithm based on the boundary element method (BEM). BEM differs from the finite element method (FEM) in that only the boundary of the object needs to be meshed for BEM. FEM requires that the interior of the object is meshed in addition to its boundary. This feature of BEM makes it attractive for computer vision problems. We present a deformable template that uses BEM to model deformations. This deformable template is registered to an image using an energy minimization approach. The BEM tracking algorithm presented in this paper constraints the tracking results to satisfy the condition of static equilibrium. This increases the robustness of the tracking results and enhances the usefulness of the forces obtained from the tracking procedure. We demonstrate the tracking performance of this algorithm for objects with linear and non-linear elastic properties. In addition, the results of tracking the deformations of a cell are presented.
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