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RSI/ISM International Conference on robotics and Mechatronics

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

ISBN: (纸本)9781467372350

Quadruped animals have high agility and grace skills in the motion over natural environment. An important feature of such animals is their abilities in the selection of appropriate gait in the response to the terrain irregularities and also the smooth transition between them in order to increase the stability or conserve the energy. In this paper, a Cartesian CPG-based controller for the gait generation and the transition between them will be developed. The proposed approach uses nonlinear coupled oscillators for generating rhythmic signals. These patterns can be modulated by a programmed excitation signal and proportionally changing the frequency, amplitude and the coupling parameters among oscillators. According to these variations, the step length, duration of swing and stance phases of all legs, relative phase between the legs and the sequence of leg lifting can be adjusted smoothly especially by the duration of gait transition. Then, trajectories of swing legs along the z- and x-axeis will be computed through the data obtained form the CPG controller. The reference ZMP path will be desgined on the basis of the footprints of legs. Then, the COG trajectories will be calculated with a preview servo controller. Finally, some simulations are conducted to verify the effectiveness of the proposed approach both in the gait generation and smooth gait transition for a quadruped robot.

关键词： central pattern generator Gait transition Walking and Trotting gait quadruped robots Pattern gait generation

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Dynamics of a 9-DoF Robotic Leg for a Football Simulator

Dynamics of a 9-DoF Robotic Leg for a Football Simulator

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RSI/ISM International Conference on robotics and Mechatronics

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

ISBN: (纸本)9781467372350

This paper focuses on a robotic human-like leg. This robot was designed and modeled for task of kicking soccer ball to desired target. In addition, applications of this robot have been explained and its kinematics and dynamics equations have been developed. Kinematic analysis has been done using Denavit-Hartenberg method and position, velocity and acceleration of center of mass (CoM) of all links can be obtained. Dynamics equations of this robot have been written using recursive Lagrange method and inverse dynamics problem has been solved. Finally, kinematics and dynamics equations of this robot are verified using a numerical simulation in MATLAB simmechanics.

关键词： robotic leg simmechanics verification kinematics dynamics

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Time Optimized Digital Image Processing of Ball and Plate System Using Artificial Neural Network

Time Optimized Digital Image Processing of Ball and Plate Sy...

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RSI/ISM International Conference on robotics and Mechatronics

作者： Yasaman Parandian Hannaneh Z. Arabshahi Ali Nasr S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems (ARAS) Lab. Department of Mechanical Engineering K.N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781467372350

Regarding robot interaction with moving objects and the necessity for robot controller to react in a timely manner having the objects current position, finding an efficient positioning method has always been a challenge. As ball and plate system is considered to be a standard experimental system in control laboratories. The system is consisted of the following pieces: a horizontal plate which gets tilted along each horizontal axes. The ball, which is located on the plate;is controlled by the system in a way to be placed in any point on the plate. In fact, the ball and plate system is an extension of the classical ball on beam experiment that is often used to study various types of control and stability problems.

关键词： Forward Kinematics Neural Networks Real-Time Computer Vision 3RRS Parallel Robot Ball and Plate

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Sensorless friction-compensated passive lead-through programming for industrial robots

Sensorless friction-compensated passive lead-through program...

引用

IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： A. Stolt F. B. Carlson M. M. G. Ardakani I. Lundberg A. Robertsson R. Johansson Department of Automatic Control LCCC Linnaeus Center and the eLLIIT Excellence Center at Lund University Sweden Lunds Universitet Lund SE ABB Robotics Västerås Sweden

Industrial robots are important when the degree of automation in industry is increased. To enable the use of robots also when the products change rapidly, the programming must be quick and easy to perform. One way to accomplish this is to use lead-through programming, i.e., the user manually guides the robot. This paper presents a sensorless approach, and thus avoids the need for a typically expensive sensor. The method is based on disabling low-level joint controllers combined with gravity compensation. It is reported how the performance can be improved by compensating for friction. Further, a method for detecting small external torques is described, based on the use of the low-level joint controllers with increased integral gain. The lead-through programming is experimentally evaluated using two different industrial robots.

关键词： Robot sensing systems Friction Torque Feedforward neural networks Programming Robot kinematics

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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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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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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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Consensus of Multi-agent Systems with Double-Integrator Dynamics in the Presence of Moving Obstacles

Consensus of Multi-agent Systems with Double-Integrator Dyna...

引用

Conference on control Applications

作者： N. Mehdipour F. Abdollahi M. Mirzaei Center of Excellence on Control and Robotics Department of Electrical Engineering Amirkabir University of Technology Tehran 15914 Iran

ISBN: (纸本)9781479977970

This paper presents a decentralized consensus control scheme for a group of agents in the presence of moving obstacles. A new control approach is proposed for pop-up dynamic obstacle avoidance for mobile robots while achieving consensus. The algorithm employs formation control to keep a pre-defined distance between agent and obstacle. Using Lyapunov stability analysis, asymptotic convergence of agents is proved outside the obstacle detection region and obstacle avoidance controller guarantees the whole system to be stable inside the obstacle detection region. The efficiency of the proposed control algorithm is verified by simulation results.

关键词： agent obstacle simulation results

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Optimal and Stable Gait Planning of a Quadruped Robot for Trotting Over Uneven Terrains

Optimal and Stable Gait Planning of a Quadruped Robot for Tr...

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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

To obtain satisfactory performance for legged robots, they should be able to move on natural environment stably. In this article, the path planning of a quadruped robot in the motion over uneven terrains will be investigated. One of major problems for traversing uneven terrains is the robot stability. Thus, a condition to guarantee the robot stability over such terrains will be proposed. This condition defines a point with zero moment in 3D space. This condition makes it possible to vary of the height of main body stably during trotting which is a main issue for traversing uneven terrains. Based on this condition, a linear ZMP equation will be defined so that the main body acceleration acts as control input and the ZMP acts as output. A linear quadratic regulator with stability constraint and fixed final states will be proposed to obtain the COG path which results in minimum acceleration. The tip of swing foot path planning will be fulfilled so that the generated path leads to avoid any collision with environment. Furthermore, the path of tip of swing legs is designed with minimum acceleration. The simulation results confirm the validity of proposed methods in terms of stability and the improvement of the consumption energy over uneven terrains.

关键词： Quadruped robots Dynamic stability criterion trot gait LQR control uneven terrains

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