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RoboWalk Trajectory Planning Based on the Human Gait Prediction Using LSTM

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

引用

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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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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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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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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RobcWalk: Conceptual and Optimal Design

RobcWalk: Conceptual and Optimal Design

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

作者： Sina Ghanaat Mahdi Nabipour 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

In this paper, the design procedure of the RoboWalk as a lower limb rehabilitation assisting robot is presented. First, a brief introduction of the robot is presented. There is a horizontal force component that is inevitably generated by the robot, and user may suffer from this. In order to overcome this problem, a dimensional optimization is performed to minimize this component, besides the required torque to be exerted by user at knee joint. To this end, a conceptual design of RoboWalk is described using the dimensions obtained by the aforementioned optimization. The detailed design is performed afterwards, and reasons for designing of each major element are discussed in detail. Finally, it is shown that this design is capable of fulfilling our goals and requirements using actuators with lower torque-speed specification.

关键词： Exoskeletons Force Legged locomotion Knee Torque Rails

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Simulation Analysis of Human-RoboWalk Augmented Model

Simulation Analysis of Human-RoboWalk Augmented Model

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

作者： Mohamad R. Mohamadi Vahid Akbari Omid Mahdizadeh Mahdi Nabipour 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

Exoskeletons are used in different applications including the area of physical therapy in order to facilitate the patient's exercises and as an assisting technology to assist the elderly carry out their ordinary activities. At the beginning of this paper, the RoboWalk assistive device is introduced. Before constructing the system, the performance of the device must be analyzed through different simulations. Hence, the dynamics of the human and RoboWalk are then obtained using the Newton-Euler (NE) and the Recursive Newton Euler Algorithm (RNEA). The obtained models are then augmented to the human model to estimate the RoboWalkjoint forces and torques, and those of the human model. then, RoboWalk is imported to the human model in Opensim software and the augmented model is obtained by defining some constraints and joint models. controllers are then designed for the human and Robo Walk in Opensim. In the next step, The NE and RNEA models are then compared to the models obtained from Opensim software using the same gait data. It is shown that the NE and RNEA methods match very closely and both of the models possess the same behavior as the Opensim model.

关键词： Mathematical model Robots Force Actuators Footwear Knee Dynamics

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RoboWalk Multiple-Sensor and Multipolar Data Fusion

RoboWalk Multiple-Sensor and Multipolar Data Fusion

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

作者： Omid Mahdizadeh Vahid Akbari 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

RoboWalk is a two-legged rehabilitation assisting robot, which helps users by carrying a portion of the weight. In this paper, we propose an algorithm to correct the attitude and position error by means of an Adaptive Root Square Unscented Kalman Filter. To this end, the IMU and encoders are used to determine the robot kinematic configuration, but since there is no solid connection between the ground and the feet, the sensor's data may not lead to exact positioning configuration. Therefore, a new approach for estimating the position of the feet and the seat is presented. The method is based on using the standing foot IMU, and related encoders to obtain the seat position. Then, the obtained result is compared to the seat IMU and correcting the position. Next, the corrected position and the swing leg encoders are used to obtain the swing foot position, which is compared to the corresponding IMU, to modify and yield all corrected positions. Describing the proposed method, it is then implemented, and the results will be discussed.

关键词： Mathematical model Robot sensing systems Estimation Robot kinematics Foot

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Real-world Robot Reaching Skill Learning Based on Deep Reinforcement Learning

Real-world Robot Reaching Skill Learning Based on Deep Reinf...

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第32届中国控制与决策会议

作者： Naijun Liu Tao Lu Yinghao Cai Rui Wang Shuo Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences University of Chinese Academy of Sciences Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Center for Excellence in Brain Science and Intelligence Technology of the Chinese Academy of Sciences

Traditional programming method can achieve certain manipulation tasks with the assumption that robot environment is known and ***,with robots gradually applied in more domains,robots often encounter working scenes which are complicated,unpredictable,and *** overcome the limitation of traditional programming method,in this paper,we apply deep reinforcement learning(DRL) method to train robot agent to obtain skill *** policy trained with DRL on real-world robot is time-consuming and costly,we propose a novel and simple learning paradigm with the aim of training physical robot ***,our method train a virtual agent in an simulated environment to reach random target position from random initial ***,virtual agent trajectory sequence obtained with the trained policy,is transformed to real-world robot command with coordinate transformation to control robot performing reaching *** show that the proposed method can obtain self-adaptive reaching policy with low training cost,which is of great benefits for developing intelligent and robust robot manipulation skill system.

关键词： Robot reaching skill learning deep reinforcement learning

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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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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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