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检索条件"机构=Center of Excellence on Robotics and Control"

共 152 条记录，以下是91-100 订阅

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Optimization of KNTU Delta Robot for Pick and Place Application

Optimization of KNTU Delta Robot for Pick and Place Applicat...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Amin Khorasani Soheil Gholami Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467372350

In this paper, the desired configuration for installation of Delta robot is formulated as an optimization problem and has been solved to reach to the highest rate of pick and place operation. The optimization is performed considering the actuators speed and acceleration limitation of the robot within the workspace. Furthermore, energy consumption is considered next as the other optimization objective, and it is shown that the optimal region for the first optimization problem lies within that of the latter one, and therefore, there is no need to propose a multi-objective optimization problem in this case. As a proof of concept, KNTU Delta robot is designed and implemented in practice by using the optimal configuration, and it is observed that the optimal design is very promising in practice.

关键词： Delta robot installation configuration energy consumption optimal solution pick and place application genetic algorithm real time implementation

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Eye-RHAS Manipulator: From Kinematics to Trajectory control

Eye-RHAS Manipulator: From Kinematics to Trajectory Control

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RSI/ISM International Conference on robotics and Mechatronics

作者： Ebrahim Abedloo Soheil Gholami Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467372350

One of the challenging issues in the robotic technology is to use robotics arm for surgeries, especially in eye operations. Among the recently developed mechanisms for this purpose, there exists a robot, called Eye-RHAS, that presents sustainable precision in vitreo-retinal eye surgeries. In this work the closed-form dynamical model of this robot has been derived by Gibbs-Appell method. Furthermore, this formulation is verified through SimMechanics Toolbox of MATLAB . Finally, the robot is simulated in a real time trajectory control in a teleoperation scheme. The tracking errors show the effectiveness and applicability of the dynamic formulation to be used in the teleoperation schemes.

关键词： Eye Surgery Eye-RHAS Gibbs-Appell Phantom Omni Real Time Trajectory control SimMechanics

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Study of potential ban method for mobile robot navigation in dynamic environment

Study of potential ban method for mobile robot navigation in...

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Power Electronic and Drive Systems and Technologies Conference (PEDSTC)

作者： Farnaz Adib Yaghmaie Amir Mobarhani Hamid D. Taghirad Advanced Robotics and Automated Systems ( ARAS) Industrial Control Center of Excellence (ICCE). Faculty of Electrical andComputer Engineering K.N. Toosi University of Technology Iran

In this paper, a new method for navigation in dynamic environment is suggested. In this method named Potential Ban (PB), it is assumed that the robot performs SLAM and autonomous navigation in dynamic environment. The robot uses PB algorithm for dynamic obstacle avoidance and its navigation trough static and dynamic objects is done without any predefined information about them. The movement of dynamic obstacles is predicted by Kalman filter and is used for collision detection purpose. Any time that possibility of a collision is detected, virtual certainties are spread trough grid map and are used for robot navigation. Several simulation and experimental tests are performed to examine the performance of PB. The results show this algorithm has great performance in term of dynamic obstacle avoidance and can be uses as a practical method for autonomous navigation.

关键词： Navigation Robots Equations Mathematical model Kalman filters Charge carrier processes

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A Novel Bio-Intelligent Real-Time Redundancy Resolution Method for Cable-Driven Parallel Manipulators

A Novel Bio-Intelligent Real-Time Redundancy Resolution Meth...

引用

RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： S. Ali A. Moosavian SeyedSina Seyedi HasanAbadi Arman Gholibeikian Department of Mechanical Engineering K. N. Toosi University of Technology Advanced Robotic and Automated Systems (ARAS) Center of Excellence in Robotics and Control Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

Cable-driven parallel manipulators (CDPMs) are widely used where there is a need for high speeds and high accelerations, thanks to the low inertia and low cost of their links. However, cables can only exert tensional force. Due to this inherent property of the cables, CDPMs are required to be designed with at least one degree of redundancy in their joint space, to be able to generate an acceptable range of wrench within the workspace. Meanwhile, redundancy in joint space leads a problem called redundancy resolution, which is basically a force distribution from workspace to joint space. In this research, inspired by a simple mathematical model of the limbic system of the brain, a novel real-time redundancy resolution method is proposed. The presented method utilizes the kinematic information of the end-effector to find the solution to the redundancy resolution problem. The results show that this Brain Emotional Learning (BEL) method has a better performance in comparison with some common numerical optimization methods solved with a nonlinear programming solver like fmincon function in MATLAB, in terms of computational cost, continuity of the profile of the cables forces, and robustness.

关键词： Power cables Redundancy Force Optimization methods Kinematics Brain modeling Mathematical models Real-time systems Robustness Trajectory

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Towards an Efficient Computational Framework for Surgical Skill Assessment: Suturing Task by Kinematic Data

Towards an Efficient Computational Framework for Surgical Sk...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Parisa Hasani Faraz Lotfi Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781665420952

During the course of the residency, novice surgeons develop specific skills before they perform actual surgical procedures. Manual feedback and assessment in basic robotic-assisted minimally invasive surgery (RMIS) training take up much of the expert surgeons’ time, while it is very favorable to automatically feedback to all surgeons in various skill levels. Towards this end, we use the surgical robot kinematic dataset named JIGSAWS, a public database collected from Da Vinci robot operated by 7 surgeons, to extract 49 metrics for the suturing task using three types of features, namely time and motion-based, entropy-based, and frequency-based. To find out the most relevant metrics in skill assessment, we perform and compare two feature selection/reduction methods, namely principal component analysis (PCA) and relief algorithm. We separately reduce the features based on these two methods, while using a combination method. Although resulting in an acceptable accuracy of 84% when using each separately, the combination method results in 92% particularly noteworthy accuracy.

关键词： Measurement Training Time-frequency analysis Minimally invasive surgery Medical robotics Kinematics Feature extraction

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Intelligent Model-Free control for Tendon-Driven Continuum Robotic Arms

Intelligent Model-Free Control for Tendon-Driven Continuum R...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： Nima Maghooli Omid Mahdizadeh S. Ali A. Moosavian Department of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotic and Automated Systems (ARAS) K. N. Toosi University of Technology Tehran Iran

Continuum manipulator modeling is always associated with structured and unstructured uncertainties. Therefore, model-based control system design for this class of robotic systems will be very challenging. On the other hand, the performance quality of model-free controllers is completely dependent on their hyperparameters; they are also very sensitive to the considered trajectory for the system. As a result, using model-free controllers will require setting parameters for different scenarios. In this research, the design of a model-free controller with comparable performance to model-based control strategies is presented. To this end, various parameters are determined online by the gain adjustment system. The research innovation is to use a supervised machine learning method, fuzzy inference system (FIS), to implement the intelligent gain adaptation system to achieve this goal. The Modified Transpose Jacobian (MTJ) performs well in trajectory tracking due to its approximated feedback linearization tool. In addition, the PID controller structure makes it a locally robust control strategy. An adaptive gain adjustment system can greatly increase algorithm potential and establish the capability to follow trajectories in different work points in the system work space. This research aims to improve the performance of the MTJ model-free control strategy in tracking trajectories starting from arbitrary initial conditions in the system work space. This is achieved by the gain adjustment system design using a fuzzy inference system. Both simulation and experimental results reveal the merits of the proposed controller.

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Robust Impedance control for Dual User Haptic Training System

Robust Impedance Control for Dual User Haptic Training Syste...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： R. Heidari M. Motaharifar H. D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (数字)9781728166049

ISBN: (纸本)9781728166056

In this paper, an impedance controller with switching parameters for a dual-user haptic training system is introduced. The trainer and the trainee are connected through their haptic consoles, and the trainee performs the surgical procedure on the environment. The trainer can intervene in the procedure by pressing a mechanical pedal; thus, the control parameters are switched to transfer the authority over the task from the trainee to the trainer. The stability of each subsystem and the closed-loop stability of the overall system are investigated. The simulation results verify the performance of the proposed controller.

关键词： Haptic interfaces Impedance Surgery Training Mathematical model Stability analysis Force

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An experimental study of modeling and self-tuning regulator design for an electro-hydro servo-system

An experimental study of modeling and self-tuning regulator ...

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International Conference on control, Instrumentation, and Automation

作者： P. Anahita Moradmand Hamid Khaloozadeh Center of Excellence in Control and Robotics Department of Electrical Engineering Amirkabir University of Technology(AUT) Tehran Iran +98 Department of Systems and Control K. N. Toosi University of Technology(KNTU) Tehran Iran

ISBN: (纸本)9781538621356

To design model-based controllers for industrial systems, an accurate mathematical model is necessary. Over time, most of these models are changed and the former controllers should be modified to achieve good performance. Hydro systems, according to their wide application over last forty years, are an interesting field of research. In this paper, based on the system identification and adaptive control theory, a special scheme for modeling and controller design of an old ElectroHydro servo-system is proposed. Industrial process control suffering from noise and saturation as two main problematic factors. Here by conducting an experiment, the identification and control are employed in linear period of the nonlinear system. To specify the order of system, Matlab Ident toolbox, Hankel matrix and Hankel singular values are used. Recursive Least Square (RLS) method is implemented to determine estimated parameters. Designing a practical self-tuning regulator is a significant task too. Due to the inappropriate results of controlled system, a corrected regulator is generated. Finally, acceptable simulations are recorded and demonstrated.

关键词： Mathematical model Adaptation models control systems System identification Adaptive control MATLAB Hydraulic systems

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Loop Closure Detection by Compressed Sensing for Exploration of Mobile Robots in Outdoor Environments

Loop Closure Detection by Compressed Sensing for Exploration...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Alireza Norouzzadeh Ravari Hamid D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical and Computer Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467372350

In the problem of simultaneously localization and mapping (SLAM) for a mobile robot, it is required to detect previously visited locations so the estimation error shall be reduced. Sensor observations are compared by a similarity metric to detect loops. In long term navigation or exploration, the number of observations increases and so the complexity of the loop closure detection. Several techniques are proposed in order to reduce the complexity of loop closure detection. Few algorithms have considered the loop closure detection from a subset of sensor observations. In this paper, the compressed sensing approach is exploited to detect loops from few sensor measurements. In the basic compressed sensing it is assumed that a signal has a sparse representation is a basis which means that only a few elements of the signal are non-zero. Based on the compressed sensing approach a sparse signal can be recovered from few linear noisy projections by l_1 minimization. The difference matrix which is widely used for loop detection has a sparse structure, where similar observations are shown by zero distance and different locations are indicated by ones. Based on the multiple measurement vector technique which is an extension of the basic compressed sensing, the loop closure detection is performed by comparison of few sensor observations. The applicability of the proposed algorithm is investigated in some outdoor environments through some publicly available data sets. It has been shown by some experiments that the proposed method can detect loops effectively.

关键词： Loop Closure Detection Compressed Sensing Mobile Robots

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A Dual-User Teleoperated Surgery Training Scheme Based on Virtual Fixture

A Dual-User Teleoperated Surgery Training Scheme Based on Vi...

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RSI/ISM International Conference on robotics and Mechatronics (ICROM)

作者： A. Iranfar M. Motaharifar H. D. Taghirad Advanced Robotics and Automated Systems (ARAS) Industrial Control Center of Excellence (ICCE) Faculty of Electrical Engineering K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

The widespread use of minimally invasive surgery (MIS) demands an appropriate framework to train novice surgeons (trainees) to perform MIS. One of the effective ways to establish a cooperative training system is to use virtual fixtures. In this paper, a guiding virtual fixture is proposed to correct the movements of the trainee according to trainer hand motion performing a real MIS surgery. The proposed training framework utilizes the position signals of trainer to modify incorrect movements of the trainee which leads to shaping the trainee's muscle memory. Thus, after enough training sessions the trainee gains sufficient experience to perform the surgical task without any further help from the trainer. The passivity approach is utilized to analyze the stability of system. Simulation results are also presented to demonstrate the effectiveness of the proposed method.

关键词： Training Surgery Haptic interfaces Task analysis Stability analysis Force Trajectory

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