Sharif Digital Repository

Fish robot has attracted many attentions in the last decade due to several types of its applications. Many researches have been done recently on this type of robot. Dynamic modeling and control of a fish robot are important and challenging problems. This issue has a great influence on design, manufacturing, efficiency and control of the fish robot. According to the literature review, it seems that no exact analytical model exists for predicting the propulsive forces which are used in controlling and simulating dynamic behavior of the robot. Fortunately, Lighthill has proposed an analytical relation to predict propulsive forces of carangiform fishes in his research. Large amplitude elongated... 

In this project, the final goal is to create a team consisting of a UGV and a quadrotor capable of relative tracking and coordinated landing, with focus on quadrotor control. What we mean by cooperative control in this project is control of quadrotor for the purpose of cooperation with a UGV; This should not be mistaken with another sense of cooperative control in which the control algorithms are developed for both of the robots or are based on the interactive dynamics of the robots.In order to accomplish this goal, an experimental testbed consisting of a quadrotor and a UGV capable of communication and data exchange was developed as a first step. The quadrotor was constructed using... 

Exoskeleton robot is so useful because of the interaction with them and human and are used in rehabilitation and augmentation applications. These robots can be either passively or actively actuated. Human and robot interaction is an important issue involved with these robots. In this thesis, the interaction force reduction is considered leading to the transparency of a lower limb exoskeleton during switch between swing and stance phasees of walking. Achieving this goal, a robust Lyapunov based motion control method has been developed. The desired reference signals for motion control are generated using a direct force control approach. Robot accelerations are estimated by an observer to be... 

The goal of this project is to propose an algorithm to detect human motion intent during level walking. The primary aim of this algorithm should be to reduce human-robot interaction forces by combining EMG and force signals. Human gait is composed of 6 different stages. During each stage, each muscle is activated differently so it is possible to detect human intent by a pattern recognition technique. However, due to the fact that EMG signals are unrepeatable and noisy, we propose that combining EMG, motion and interaction force signals may lead to more concise and repeatable estimates of human motion intent. As a result, this control approach is expected to reduce human robot interaction... 

In the recnt decades, traffics and airpolution are the most impoetant concerns of researchers in the field of city transportation. One of the most successful ways to overcome these poblems is to ustilize two-wheeled, one axis balancing vehicles. These vehicles occupies a small sapace, consumes less energy and its considerable maneuverability, makes it the best option to reform in-city transportation system. The newly introduced model of these robots incorporates a passenger cabin and a strick to control its movement. Unfortunately, in all of the recent studies, robots dynamics and controller system are base on optimistic hypothesis, which is no slippage between ground and wheels. Even in the... 

With the development of technology in the field of control, biomechanics and robotics, wearable robots have found many applications in the field of rehabilitation and empowerment. In the empowerment phase, due to the interaction of these robots with humans, it is necessary to manage the interaction forces between the robot and humans with the help of appropriate control methods. One of the applications of these robots is when a person wants to carry a heavy load attached to the structure of the robot and the robot should be able to transfer the force caused by this load to the ground. At this time, humans should not be exposed to this load and the relationship between the robot and humans... 

Nowadays, the developments in control and robotics provide rehabilitation and power augmentation applications for the exoskeleton robots. In the rehabilitation applications, the goal is to help elderly and persons with paraplegia to do their daily activities and movements. One of this applications is to help these individuals for postural stability and recovering balance after receiving perturbations. In this research, we propose a control strategy for a lower limb exoskeleton to help the wearer to recover balance after a perturbation without using crutches. Here, we concentrate on the stance phase when a push is exerted to the robot and try to make the system quite upright. Therefore, a... 

Hospitals are considered to be environments for employing social robots. However, it is necessary to provide conditions for the operation of these robots in such environment. Factors such as slippery and sloping surfaces, as well as the risk of falling robots from impact by the patient or other factors, cause the performance of these robots in these environments to be difficult. Friction and slip is a challenge posed by the path tracking mission in the hospital environment for these robots. In this regard, one of the objectives of this project is robot control to track the path on the surfaces in the event of a slip. The robot studied in this project is omnidirectional robot including... 

The research field of localization with high precision (precision of 10 micrometers) has greatly attracted attentions in recent years. Optical flow sensor is one of the inexpensive solutions for the localization of robot, which have been used in computer mice. The most important application of this thesis is to localize walking micro robot. The main challenge of previous research is the fact that sensor's precision is highly dependent on the surface texture. The aim of this research is to implement an appropriate algorithm on optical flow sensor in order to increase the robustness of sensor's precision to surface texture. In this regard, firstly experimental hardware has been designed and... 

With advancements in control and robotics technology, wearable robots have gained multiple applications in rehabilitation and power augmentation. In robots developed for power augmentation purposes, human decisions are combined with robot power to enhance the human ability to perform various activities, such as carrying heavy loads and walking for a long time. In cases where robots are designed to help humans to carry heavy loads, the robot control strategy should minimize the human-robot interaction forces. In this case, heavy loads influence the robot and the user no longer need to use more energy than normal walking, and the robot works following human intentions. Where the robot works to... 

Wearable robots, or exoskeletons, are electromechanical devices that aim to assist user by supplying additional mechanical power as needed. The interaction of these robots with humans and the possibility of robots using their various abilities such as intelligence, control power, sensors, etc., make one of the crucial components of these control algorithms, its interaction and integration with the user. In this regard, functional electrical stimulation is one way to use human abilities to control the robot and achieve broader goals. Adding functional electrical stimulation to a wearable robot creates an emerging group of robots called hybrid exoskeletons. Hybrid exoskeletons provide the... 

Exoskeletons, or wearable robots, are electromechanical devices that have become the focus of academic and industrial research in recent years, and their applications in power augmentation have increased. One of the most important challenges of these applications is controlling the robot and synchronizing it with the user. The close interaction of the robot with the user and the change of movement pattern between different users and different gait cycles show the importance of estimating the user's movement intention, but the need for online method of estimating the movement intention and the complexity of accurate dynamic modeling has caused researchers to use reinforcement learning (RL) in... 

Continuous positive airway pressure (CPAP) is a standard treatment for patients with obstructive sleep apnea (OSA), a sleep-related breathing disorder characterized by full or partial occlusion of the upper airway during sleep. CPAP pressure adjust by a sleep technologist during attended laboratory polysomnography (PSG) to eliminate obstructive respiratory-related events (apneas, hypopneas). Because of changes in environment and lifestyle patients needed new adjustments for the device that brings discomfort and extra money for treatment. In recent, lots of methods have been proposed to replace PSG and minimized the number of biological signals to detect apnea, best results came from deep... 

This thesis studies a brachiation robot that is a long armed locomotion similar to apes. The robot has 2 revolute joints but only one of them is actuated. In this thesis, after deriving dynamic model of the robot, the Controlled Lagrangian (CL) method is used for stabilization. The matching conditions satisfied for the controller are derived and the extended λ-method is used to solve PDE’s involved in the method of controlled lagrangian. Satisfactory controller’s gains are chosen by PSO algorithm. Feasibility of the developed controller is investigated by numerical simulations and finally, theoretical results are validated with experimental observations  

Trolling mode atomic force microscope (TR-AFM) significantly reduces the hydrodynamic drag generated during operation in liquid environments. This is achieved by utilizing a long nanoneedle and keeping the cantilever out of liquid. In this research, a continuous mathematical model is developed to study TR-AFM dynamics near a sample submerged in the liquid. Effects of cantilever torsion, nanoneedle flexibility, and liquid-nanoneedle interactions are considered in the model. The finite element model of the TR-AFM resonator considering the effects of fluid and nanoneedle flexibility is presented in this research, for the first time. The model is verified by ABAQUS software. The effect of... 

Capsule endoscopy is a minimally invasive diagnostic technology for gastrointestinal diseases providing images from the human’s digestion system. Developing a robust and real-time localization algorithm to determine the orientation and position of the endoscopic capsule is a crucial step toward medical diagnostics. In this thesis, we propose a novel model-aided real-time localization approach to estimate the position and orientation of a magnetic endoscopic capsule swimming inside the stomach. In the proposed method, the governing equations of the motion of an ellipsoidal capsule inside the fluid, considering different hydrodynamics interactions, are derived. Then, based on the dynamic...