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Multi-Aspect Optimal Sliding Mode controller for a Mecanum Wheeled Robot 11

Multi-Aspect Optimal Sliding Mode Controller for a Mecanum W...

引用

11th RSI International Conference on robotics and Mechatronics, ICRoM 2023

作者： Allahyari, Sohrab Rahmanei, Hamid Moosavian, S. Ali A. K. N. Toosi University of Technology Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Laboratory Dept. of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798350308105

Four-wheel drive Mecanum robots have gained attention due to their ability to move in all directions, which allows them to work in tight and complex environments. For this reason, ensuring precise control of these robots along predefined trajectories is crucial. This work presents a comparative study on the effects of parametric uncertainties, external disturbances, measurement noises, and initial deviations on the trajectory-Tracking performance of a 4-wheel drive Mecanum robot. First, the kinematic and kinetic models of the Mecanum robot are introduced. Then, the integral sliding mode control is designed, and proof of stability is provided. In addition, we explore other control strategies, including PID, feedback linearization, sliding mode, and adaptive sliding mode control, that are designed for this robot. Furthermore, the particle swarm optimization algorithm is hired for the controllers with a cost function as the total sum of average error, maximum error, and final error. Optimization has been done on all controllers to compare the results fairly. To appraise the effectiveness of the proposed control optimization methods, simulations are carried out in MATlab/Simulink. The results reveal that the proposed ISMC method performs best in both defined scenarios compared to other controllers. However, it must be noted that the ISMC controller exhibits limitations when facing significant uncertainties in the dynamic model. This study underscores the effectiveness of our proposed control method and provides valuable insights into the practical implementation controller for the Mecanum robot in real-world applications. © 2023 IEEE.

关键词： Three term control systems

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KNTU-RoboGlove: Design of a Pneumatic Soft Robotic Glove 11

KNTU-RoboGlove: Design of a Pneumatic Soft Robotic Glove

引用

11th RSI International Conference on robotics and Mechatronics, ICRoM 2023

作者： Boka, Tanin Nikkhah, M. Navid Moosavian, S. Ali A. Toosi University of Technology Tehran Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Laboratory Dept of Mechanical Engineering K. N. Tehran Iran K. N. Toosi University of Technology Tehran Dept of Mechanical Engineering Tehran Iran

ISBN: (纸本)9798350308105

This paper introduces an innovative advancement in the field of wearable assistive technology by presenting a revolutionary portable soft robotic glove designed to assist individuals with hand impairments during rehabilitation exercises and daily tasks. The glove offers both active finger flexion and passive extension to aid in hand support and rehabilitative training. It achieves this by utilizing integrated soft actuators, including a variable stiffness layer and a pneumatic-driven layer, which guide specific bending, twisting, and extending movements when air pressure is applied. Notably, the variable stiffness layer takes inspiration from pangolins, whose scales are pliable during daily activities but become rigid when facing threats. To provide increased power with enhanced stiffness, a toothed pneumatic actuator is specially designed. The three-finger soft glove is manufactured by molding super-elastic material, creating the actuator mold using a 3D printer. The glove's grasping abilities have been thoroughly tested, and experimental results demonstrate that, when compared to previously developed elastomeric-based actuators, these actuators can generate substantial force and torque to facilitate finger flexion even at lower air pressure levels. This capability allows the glove to grasp a wide range of objects, assisting individuals in their rehabilitative training. Furthermore, a control system for grasping has been developed, which includes motion processing unit sensors for collecting feedback signals aligned with the actuators, along with a closed-loop controller for regulating the pressure. In contrast to existing devices, this glove, thanks to its portable design, has the potential to significantly enhance user autonomy and independence. © 2023 IEEE.

关键词： Pneumatic actuators

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Balance Recovery of a Quadruped Robot

Balance Recovery of a Quadruped Robot

引用

RSI/ISM International Conference on robotics and Mechatronics

作者： Mahdi Khorram S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Lab Dept of Mech Eng K. N. Toosi Univ of Tech Tehran Iran Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Lab Dept of Mech Eng K. N. Toosi Univ of Tech Tehran Iran

ISBN: (纸本)9781467372350

Maintaining the balance or stability of legged robots in natural terrains is a challenging problem. Besides the inherent unstable characteristics of legged robots, the sources of instability are the irregularities of the ground surface and also the external pushes. In this paper, a push recovery framework for restoring the robot balance against external unknown disturbances will be demonstrated. It is assumed that the magnitude of exerted pushes is not large enough to use a reactive stepping strategy. In the comparison with previous methods, which a simplified model such as point mass model is used as the model of the robot for studying the push recovery problem, the whole body dynamic model will be utilized in present work. This enhances the capability of the robot to exploit all of the DOFs to recover its balance. To do so, an explicit dynamic model of a quadruped robot will be derived. The balance controller is based on the computation of the appropriate acceleration of the main body. It is calculated to return the robot to its desired position after the perturbation. This acceleration should be chosen under the stability and friction conditions. To calculate main body acceleration, an optimization problem is defined so that the stability, friction condition considered as its constraints. The simulation results show the effectiveness of the proposed algorithm. The robot can restore its balance against the large disturbance solely through the adjustment of the position and orientation of main body.

关键词： Push recovery Quadruped robots dynamics stability friction constraints

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Kinematics and Dynamics Modeling of Spherical Parallel Manipulator

Kinematics and Dynamics Modeling of Spherical Parallel Manip...

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

作者： Omid Mahdizadeh Afshin Zeinaddini Meymand Mojtaba Mollahossein S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

Spherical parallel manipulators have been proposed for accurate and fast performance. In this paper, kinematics and dynamics of a spherical three degrees-of-freedom parallel manipulator are studied. First, both direct and inverse kinematics are solved by using a new geometric approach and defining a new appropriate set of coordinates. Then, based on the derived kinematics equations and Jacobian matrices of links, according to Lagrange method, the explicit dynamics formulation of the manipulator is developed. The obtained dynamics has been verified by using *** and MATlab Software, simultaneously. This explicit verified model is highly important to design and implement various model based control algorithms. So, a Fuzzy Adaptive PID controller is designed to show the controller's operation on the manipulator. Discussing the obtained results reveal the merits and importance of the proposed modeling.

关键词： Manipulator dynamics Kinematics Mathematical model Jacobian matrices Gravity Dynamics

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Dynamics Modelling and Parameters Estimation for Nonlinear-Model Predictive control of Underwater Robots

Dynamics Modelling and Parameters Estimation for Nonlinear-M...

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

作者： S. Ali A. Moosavian Mohammad Jamali Omid Mahdizadeh Vahid Akbari Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781665420952

Underwater robots are to be extensively used in various submerged missions. A few research works have been conducted to investigate the nonlinear dynamical behavior of such systems in ocean flows. In this paper, dynamics modeling and parameters estimation for these complicated systems are developed for using model-based predictive control. It is begun by presenting the nonlinear equations governing the dynamics of an underwater robot in an ocean open flow. Additionally, the movement of the diving and depth motion of the robot in such cases is analyzed. A method to estimate hydrodynamic and other parameters of an underwater robot is presented and compared with experimental data. This method consists of close-to-reality simulation using a CFD subsystem of the ANSYS software. Finally, these parameters are used to design a model-based controller. Numerical simulations are carried out to evaluate the performance of the controllers. Among all the model-based controllers, nonlinear Model Predictive control (nonlinear-MPC) with constraints will be able to follow the setpoints within less time and less control effort. The experimental data confirm the simulation results, proving the underwater robot's capability for path-following in an ocean open flow.

关键词： Autonomous underwater vehicles Parameter estimation Oceans Simulation Predictive models Mathematical models Software

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RoboGlove: Design of a Tendon-Driven Robotic Glove with Differential Mechanisms

RoboGlove: Design of a Tendon-Driven Robotic Glove with Diff...

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

作者： Mehran Abbasi S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics & Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9781728166049

ISBN: (纸本)9781728166056

Stroke and spinal cord injury (SCI) are two main causes of human upper-limb movement impairments. In this paper, the design of a soft robotic glove with tendon actuation for rehabilitation purposes of the human hand is presented. This robotic glove called KNTU RoboGlove is designed based on differential mechanisms. To help patients, the glove makes grasping objects with different geometries be possible using a single DC motor. To this end, the differential mechanisms are first presented, which are used in two parts of the system. The actuation unit actuates all fingers with a motor, while uses differential gears that can produce the flexion or extension motions without facing singularities. Finally, the functionality of RoboGlove is evaluated in performing two different tasks. First one is grasping a cylindrical object, while the second consists of grasping an irregular-shaped object. Obtained results reveal the merits of the proposed robotic glove.

关键词： Thumb Tendons Robots Ligaments Joints Electron tubes

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Augmented Modeling of a Lower Limb Assistant Robot and Human Body

Augmented Modeling of a Lower Limb Assistant Robot and Human...

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

作者： S. Ali A. Moosavian Mohamad R. Mohamadi Farshid Absalan Center of Excellence in Robotics and Control Advanced Robotics – Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781728101286;9781728101279

Rehabilitation robotics is nowadays one of the most attractive fields in robotics. This paper focuses on modeling of a lower limb walking assist device (RoboWalk), augmented with the human body. RoboWalk has been designed to assist either the elderly people or those with malfunctioning in lower limb to do their daily tasks. Modeling the assistive device augmented to human model is highly important for design improvements and controller developments. In such complicated cases, simulators are appropriate tools to analyze the dynamics of robotic devices and understand how the device works which leads to the system improvements. In this paper, a human model that is properly appended to the RoboWalk has been analyzed using the OpenSim software. The human model includes 37 degrees of freedom to define joint kinematics, 80 muscle units actuating the lower limbs, and 17 torque actuators driving the upper body. To this end, the robot has been first added to the human model, then constraints have been properly defined, finally simulation has been implemented by adding a specified gait to human model. Obtained results will be discussed which reveal a reasonable performance of the whole system.

关键词： Solid modeling Actuators Assistive devices Knee Hip Legged locomotion

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Human Body Modeling for Ground Contact Force Estimation of RoboWalk

Human Body Modeling for Ground Contact Force Estimation of R...

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

作者： Farshid Absalan S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics & Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9781728166049

ISBN: (纸本)9781728166056

RoboWalk is a lower limb rehabilitation robot for Human body weight assistance. To achieve a proper design of RoboWalk, there is a need to understand the dynamics of human and foot contact forces with the ground that is the focus of this paper. In fact, an important component of human-Robo Walk forward dynamics simulation is foot-ground contact modelling. Different models have been proposed to simulate the contact of the foot with the ground. In this study, the dynamic equations of human body is developed with 19 degrees of freedom, while three points of collision with the ground are considered for each foot. Next, the kinematics information obtained from the experimental data are introduced to the dynamical equations, and the joint torques are estimated by solving the inverse dynamics of the human model. The results are compared to the experimental data for model validation. However, it is assumed that the numerical value of the foot contact model parameters are not available, so the pelvis is constrained in such a way that the human model foot does not hit the ground. Therefore, these uncertain parameters does not affect the validation results. Next, a model is selected from the existing models to express the foot contact behavior with the ground, while such models should provide stable walking with selecting the appropriate parameters. To determine the shear and normal contact force, numerical values of the parameters are required while these values depend on the shoe and the ground material and surface. Then, the path traveled by the pelvis in the human dynamic model was compared with the path of the actual pelvic motion and their difference was used to form a cost function to determine the parameters. In the next step, by choosing appropriate values for the contact parameters of the foot and the springs and the damping of the toe joint, the path of the pelvis becomes closely identical to the actual pelvis motion. Finally, after the human gait stabilized, the de

关键词： Mathematical model Dynamics Foot Force Friction Computational modeling Robots

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RoboWalk Trajectory Planning Based on the Human Gait Prediction Using LSTM

RoboWalk Trajectory Planning Based on the Human Gait Predict...

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

作者： S. Ali. A. Moosavian Amin Kiani Vahid Akbari Mahdi Nabipour Sina Ghanaat Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781665420952

The increasing demand for rehabilitation robots alongside the complexity of such devices have made their designing procedure a challenging task. One of the challenges is generating a walking pattern for lower limb exoskeletons in such a way that tasks like load carrying or rehabilitation can be performed with minimum disturbance to the human normal gait. This paper presents a deep learning method to predict the next step of RoboWalk joint angle patterns using previous trajectories of former steps. Six different gait data from an individual are chosen as the learning and test dataset. The human joint trajectories during each of the six considered gaits and the augmented human-RoboWalk kinematic model are used to extract RoboWalk’s joint trajectories. The Long-Short-Term Memory (LSTM) network is then used for predicting the future trajectory and classifying the phase of walking. The accuracy for the prediction is about 98.5 percent and the overall error in all the gait modes is less than 5 degrees.

关键词： Legged locomotion Training Performance evaluation Trajectory planning Kinematics Rehabilitation robotics Trajectory

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Deep Learning Approach For Object Tracking Of RoboEye

Deep Learning Approach For Object Tracking Of RoboEye

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

作者： Ahmad Moori Javad Khoramdel S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9781728166049

ISBN: (纸本)9781728166056

RoboEye is a spherical 3RRR parallel robot which has been developed for its high precision. It can provide high speeds, so can be used for fast tracking tasks. To this end, in this paper proper deep learning approaches are combined with classical control methods. Deep learning algorithms are employed to detect an object of interest among various ones in a monocular image, and then obtain an estimatation of the distance to the camera. So, simultaneous depth estimation, and object detection with a monocular camera for real time implementation is proposed here. For fast calculations, also to overcome manufacturing uncertainties, inverse kinematic equations are computed by a multi-layer perceptron (MLP) network based on real data. Finally, a classical PID controller can perform a fast tracking of the object.

关键词： Cameras Estimation Kinematics Mathematical model Object detection Robot vision systems

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