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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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Kinematic and Kinetic Analysis of 3-RRS Parallel Manipulator

Kinematic and Kinetic Analysis of 3-RRS Parallel Manipulator

引用

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

作者： Sara Ashrafi S. Ali A. Moosavian Department of Mechanical Engineering Advanced Robotics and Automated Systems (ARAS) Lab. Center of Excellence in Robotics and Control K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

This paper presents the Kinematic and Kinetic properties of the 3-RRS parallel manipulator that has been designed and prototyped at the ARAS lab, together with an extensive experimental setup. Inverse and forward kinematics of the mechanism are studied, which leads to the attainment of eight possible solutions in each case, of which just one is physically acceptable and maintains its consistency in both analyses. In addition, the Jacobian matrix of the manipulator is derived for various operational scenarios. In this most recent update, a linear actuator under the moving platform is added to cancel the effect of the mass of the plate and the ball for enhancing the responsiveness of the system. Dynamic and kinetic equations are updated based on reduced gravitational effects.

关键词： Jacobian matrices Actuators Mechatronics System dynamics Dynamics Kinematics Kinetic theory Manipulator dynamics

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Shape Estimation of Continuum Arms Based on Inverse Kinematics Data-Driven Modeling

Shape Estimation of Continuum Arms Based on Inverse Kinemati...

引用

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

作者： Saeedeh Shekari S. Ali A. Moosavian Dept of Mechanical Engineering Advanced Robotics and Automated Systems (ARAS) Lab. Center of Excellence in Robotics and Control K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

In recent decades, soft robotic arms inspired by biological organisms with flexible structures have enabled significant advancements in robotics, particularly by allowing robots to navigate in complex and unknown environments. Tendon-driven continuum robotic arms, as a type of such systems, are characterized by their infinite degrees of freedom and the inherent complexity of their nonlinear systems, while the analysis of their configurations is highly challenging. In this study, a data-driven inverse kinematics model is developed to estimate the shape of a two-segment continuum robot called RoboArm in ARAS lab. The robot's final configuration was recorded using two cameras, and the shape estimation was performed by tracking the position of each segment's end along a given dynamic path. The experimental results were compared with software simulations which demonstrate high accuracy in predicting the arm's configuration. By comparing the estimated shapes from the simulations with the robot's actual shape during movement, we validated the effectiveness of this approach for accurately modeling the robot's configuration in real-time.

关键词： Data-driven modeling Accuracy Shape Tracking Estimation Kinematics Soft robotics Real-time systems Software Continuum robots

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control of Continuum Manipulators with Shape Constraints via Deep Reinforcement Learning

Control of Continuum Manipulators with Shape Constraints via...

引用

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

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

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

Continuum robots, while versatile for handling complex tasks, present significant challenges in control system design. This paper introduces a novel framework that integrates position and orientation control laws to address shape constraints effectively. Specifically, a Deep Reinforcement Learning (DRL) strategy is proposed to facilitate trajectory tracking within the desired orientation. To ensure safety, the framework directly controls the end-effector's position and orientation in the workspace, avoiding unsafe zones. A centralized control law, the Modified Transpose Jacobian (MTJ), is employed to resolve the robot's redundancy without relying on inverse kinematics. The proposed approach is validated through simulations on a Tendon-Driven Continuum Robot (TDCR), demonstrating superior performance compared to similar learning-based controllers.

关键词： Meters Mechatronics Shape Trajectory tracking Termination of employment Position control Kinematics Deep reinforcement learning Safety Continuum robots

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Real-Time Face-Tracking control of a 4 DOF Manipulator Using Deep Learning Detection

Real-Time Face-Tracking Control of a 4 DOF Manipulator Using...

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

作者： Ali Asadi Amirreza Hassan Nejad S. Ali A. Moosavian Department of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

This paper has presented the design, simulation, and real-time implementation of a four-degree-of-freedom (4-DOF) robotic system for face detection and tracking. The system has combined kinematic control with deep learning. It has used the Xception network for high-accuracy facial detection. A Fuzzy PID-MIJ control algorithm has optimized the trajectory planning. This has ensured smooth and precise target tracking. Both simulations and physical experiments have validated the system's real-time performance. The results have shown that the system can reliably track faces with minimal error. This approach has demonstrated significant potential for dynamic, human-interactive applications.

关键词： Deep learning Target tracking Trajectory planning Target recognition Face recognition Kinematics Real-time systems Robustness Planning Face detection

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Kinematic control of a Mecanum Mobile Robot using Time-Varying Model Predictive control

Kinematic Control of a Mecanum Mobile Robot using Time-Varyi...

引用

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

作者： Seyed Ali Shahzadeh Fazeli Sohrab Allahyari Arman Gholibeikian S. Ali A. Moosavian Dept. of Mechanical Engineering Advanced Robotics & Automated Systems (ARAS) Laboratory Center of Excellence in Robotics & Control K. N. Toosi University of Technology Tehran Iran

ISBN: (数字)9798331529734

ISBN: (纸本)9798331529741

Mecanum wheeled mobile robots have increasingly caught researchers' attention due to their wide range of applications and higher maneuverability. However, their complex structure makes their trajectory tracking and control problem more challenging. This paper presents a cascaded controller for trajectory tracking of a four-wheel Mecanum mobile robot. The cascaded controller consists of a linear time-varying model predictive controller (LTV-MPC) and an inner PID controller. The proposed controller does not require the system's dynamics model. To this end, the linear time-varying error model used to design the MPC is obtained from the robot's kinematics model. The angular velocities obtained from the predictive controller are then mapped into the required commands for the DC motors using a PID controller. The PID controller is fine-tuned considering the motor's dead zone using the Genetic Algorithm. Simulations and experimental results demonstrate the superiority of the cascaded controller over the regular LTV-MPC. The proposed algorithm can also be used for other real-time implementations of robotic tasks.

关键词： Trajectory tracking System dynamics Robot kinematics Predictive models DC motors Angular velocity Real-time systems Mobile robots Voltage control Genetic algorithms

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Mechanism Improvement of RoboWalk Rehabilitation Device to Adjust the Assistive Force Direction

Mechanism Improvement of RoboWalk Rehabilitation Device to A...

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

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

The growing need for assistive and rehabilitative robots requires more understanding of interactions between the human and such robots. RoboWalk is one of such robotic assistive devices to help users in walking. One of the challenges in using RoboWalk is the horizontal component which undesirably appears besides the desirable assistive vertical force for weight compensation. This horizontal component can disrupt the user’s gait and cause discomfort and stability disturbances. This is due to the fact that the current design of RoboWalk does not allow for any displacement due to the singularity of the robot’s inverse kinematics. This paper proposes a few solutions to solve this problem in redesigning the motion mechanism. Analyses using Adams software show the effects of each solution on enhancing RoboWalk’s functionality. Obtained results reveal that the proposed solutions are feasible and have the potential to significantly improve the user experience.

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Improved Aerodynamic Performance of Ornithopter Aerial Robot Using Spatial Mechanism Compared to Planar Design

Improved Aerodynamic Performance of Ornithopter Aerial Robot...

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

作者： Sina Hallajian S. Ali A. Moosavian Department of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

Ornithopter’s research can be categorized into two parts. First, aerodynamics analysis of the flying robot including designing the body and choosing the robot’s material based on the analysis. Second, design and analysis of the mechanism which makes the wings move. So far, most of the researches has been focused on the first subject, i. e., aerodynamics analysis; even some books were published on this topic. However, there is little research about the mechanisms while most of the previous works are based on the patterns verified before. This paper will propose the design of a new spatial mechanism. Besides, three common planar mechanisms will be modeled and simulated to analyze and compare to the proposed mechanism in terms of aerodynamics forces for one wing beat cycle. These results reveal that the proposed 3D mechanism works more promising than others.

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Dynamics Modeling of Continuum Robots Using Screw Theory for Real-time control

Dynamics Modeling of Continuum Robots Using Screw Theory for...

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

作者： Saeedeh Shekari S. Ali A. Moosavian Dept of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab K. N. Toosi University of Technology Tehran Iran

Modeling the dynamics of continuum robotic arms is challenging due to the highly nonlinear nature and uncertain and complicated inherent structure. This affects the application of continuum arms in various aspects, such as inverse kinematics, path generation, optimization, and control. This paper deals with the dynamics modeling of continuum robotic arms using screw theory to develop a suitable model with high accuracy, speed, and low computational load to achieve real-time control. By using the representation of the Lie group of screws in the screw theory, which simplifies the mathematics of the problem, it is possible to achieve a real-time integrated representation of the dynamics of the deformation of the body of continuum robotic arms. This provides the possibility of accurately predicting the system behavior even in the presence of external forces acting on the end-effector. The experimentally validated results for circular and infinite motion trajectories show the model effectiveness in enhancing the trajectory tracking performance and ability to estimate configuration shape changes under external loads. The integration of this model in soft robotic arms has the potential to revolutionize their application in a wide range of industries and medical applications.

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