We experimentally demonstrate that using oscillating weak magnetic fields a sperm-shaped microrobot (which we refer to as MagnetoSperm) can swim using flagellar propulsion and slide on a surface under water. The sperm...
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ISBN:
(纸本)9781479969357
We experimentally demonstrate that using oscillating weak magnetic fields a sperm-shaped microrobot (which we refer to as MagnetoSperm) can swim using flagellar propulsion and slide on a surface under water. The sperm morphology allows the MagnetoSperm to mimic the locomotion mechanism of a living sperm cell. The MagnetoSperm is designed and developed with a magnetic head and a flexible tail to provide a magnetic dipole moment and propulsion, respectively. The head oscillates under the influence of controlled oscillating weak magnetic fields (~5 mT). This oscillation generates a thrust force in the flexible tail, and hence allows the MagnetoSperm to overcome the drag and friction forces during swimming and sliding on a surface, respectively. Point-to-point open- and closed-loop control of the MagnetoSperm are accomplished using an electromagnetic system under microscopic guidance. This motion control is done in two cases, i.e., swimming in water and sliding on a surface. At oscillating magnetic field of 5 Hz and 45 Hz, the MagnetoSperm swims at an average swimming speed of 32 μm/s (0.1 body lengths per second) and 158 μm/s (0.5 body lengths per second), respectively. At the same frequencies, the MagnetoSperm slides on the bottom of a petri-dish at an average speed of 21 μm/s (0.07 body lengths per second) and 6 μm/s (0.02 body lengths per second), respectively.
The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and deve...
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The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and learning over complex network systems. Extensive research efforts on information processing over graphs exist within other fields such as statistics, computer science, optimization, control, economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear, and the role that signal processing plays in this domain is of fundamental importance.
Percutaneous needle insertions are commonly performed for diagnostic and therapeutic purposes. Accurate placement of the needle tip is important to the success of many needle procedures. The current needle steering sy...
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Percutaneous needle insertions are commonly performed for diagnostic and therapeutic purposes. Accurate placement of the needle tip is important to the success of many needle procedures. The current needle steering systems depend on needle-tissue-specific data, such as maximum curvature, that is unavailable prior to an interventional procedure. In this paper, we present a novel three-dimensional adaptive steering method for flexible bevel-tipped needles that is capable of performing accurate tip placement without previous knowledge about needle curvature. The method steers the needle by integrating duty-cycled needle steering, online curvature estimation, ultrasound-based needle tracking, and sampling-based motion planning. The needle curvature estimation is performed online and used to adapt the path and duty cycling. We evaluated the method using experiments in a homogenous gelatin phantom, a two-layer gelatin phantom, and a biological tissue phantom composed of a gelatin layer and in vitro chicken tissue. In all experiments, virtual obstacles and targets move in order to represent the disturbances that might occur due to tissue deformation and physiological processes. The average targeting error using our new adaptive method is 40% lower than using the conventional non-adaptive duty-cycled needle steering method.
Smart mobile robot is a kind of Intelligent Robot. It means that operates manipulate autonomously and recognize the external environment. Smart mobile robot moving mechanism has many type and the type depend on the ro...
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This paper addresses a dynamic model and a control method of a space robot with a rigid manipulator and a flexible appendage. The control method has been developed for performing multiple tasks: end-point motion contr...
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This paper addresses a dynamic model and a control method of a space robot with a rigid manipulator and a flexible appendage. The control method has been developed for performing multiple tasks: end-point motion control and vibration suppression control of a flexible appendage. A simple dynamic model that considers coupling between the manipulator and the flexible appendage is proposed for the control method. The tasks are performed simultaneously on the basis of their order of priorities using a redundant manipulator. Additionally, because vibration suppression requires feedback of the state of the flexible appendage, a state estimator of the appendage using a force/torque sensor is developed. Finally, the proposed model, control method, and state estimator were verified experimentally using an air-floating system.
In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual...
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In this paper, the stabilization problem of loaded double inverted pendulum using an optimized state feedback sliding mode control is investigated. ADAMS/Matlab co-simulation environment is used for building a virtual nonlinear model for loaded double inverted pendulum system and the state feedback sliding mode control law is designed for stabilizing the system. Mismatched uncertainties represented by payload variations is considered. Genetic Algorithms are used to optimize the parameters of the sliding mode controller based on a performance index containing the sum of squared errors. The proposed control scheme can significantly suppress chattering effect and improves the performance of the system against uncertainties. Simulation results show the effectiveness of the approach and the robustness of the system against payload changes.
This research handles a proposed technology in the defense and security system is Anti stealth technology, This technology supposes increasing radar cross section (RCS) of the stealth system by increasing relative per...
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This research handles a proposed technology in the defense and security system is Anti stealth technology, This technology supposes increasing radar cross section (RCS) of the stealth system by increasing relative permittivity ε' and decreasing attenuation ε" consequently loss tangent tan(δ e ). Non lethal pulsed ND YAG 532nm laser is the proposed solution for enhancing stealth EM 3500 wave absorber's relative permittivity. This research handles a probabilistic Algorithm for detecting stealth target by using neural network as future implementation for Anti stealth technology.
Stroke is the leading cause of disability. Reaching movement is the most important movement for many daily activities routine. Rehabilitation is to encourage and enhanced recovery process. Conventional rehabilitation ...
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Stroke is the leading cause of disability. Reaching movement is the most important movement for many daily activities routine. Rehabilitation is to encourage and enhanced recovery process. Conventional rehabilitation is one-to-one intervention where labour intensive and lack of repeatability. In addition, the stroke assessments by physiotherapist are subjective and not independent. Thus, this paper will describe the design and development of non-motorized system for assessing the patients’ motor function. This system will be used in the future to find the correlation between conventional assessments scales such Fugl-Mayer Assessment (FMA), Chedoke-McMaster Stroke Assessment Scale (CMSA) and Motor Assessment Scale (MAS) and robotic assessment.
While a great number of battery balancing circuit topologies have been proposed, the unique control objective typically pursued is equalization of single cell charge. However, a balancing circuit could offer potential...
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While a great number of battery balancing circuit topologies have been proposed, the unique control objective typically pursued is equalization of single cell charge. However, a balancing circuit could offer potentially more control features, especially with topologies able to provide bidirectional power flow control. This has not been explored yet in literature or at least not with enough thoroughness. Thus, in addition to charge balancing, up to three more objectives could be pursued simultaneously. Firstly, virtual resistance control, in order to provide dynamic compensation for variations in terminal cell voltage. Secondly, thermal management, to achieve a more uniform temperature distribution within a battery pack. Third, on-board diagnosis or fault detection tools, e.g. to perform characterization tests or to identify and even isolate problematic cells. In this paper, this issue is discussed and evaluated for a battery pack made up of 48 large format Li-Ion cells in series in a e-mobility application. Simulation results demonstrate the technical feasibility of this newly defined concept.
Stroke is the leading cause of severe disability worldwide, with up to 15 million of people suffer stroke every year. Survivors of stroke can recover their physical strength, provided they undergo proper rehabilitatio...
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Stroke is the leading cause of severe disability worldwide, with up to 15 million of people suffer stroke every year. Survivors of stroke can recover their physical strength, provided they undergo proper rehabilitation. However, most of the rehabilitation centres provide only basic tools as they can rarely afford the expensive and advanced rehabilitation devices. Besides that, training with therapists is limited to few hours per week due to the large number of patients and the stroke patients are generally sent home once they are mobile, although their upper limbs functions are not recovered. Stroke patients need to continue training after stroke to avoid muscle contraction, but due to large number of patients, they are not able to train frequently in the hospital. Therefore, the goal of this project is to develop a low-cost, simple yet compact rehabilitation robot for stroke patient to train both upper and lower limbs reaching movement. Compact Rehabilitation Robot (CR2) is expected to help the stroke patients training reaching movement in an enhanced virtual reality environment with haptic feedback and to provide the stroke patients with a faster track towards recovery.
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