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

作者： Mohammad Dehghani S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Laboratory Department of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran

In contrast to traditional articulated robots, continuum robots do not have any joints. The backbone of these robots can be bent, twisted and stretched by environmental and actuation forces. A group of continuum robotic arms use tendon-driven actuation systems. In this group, the shape of robot backbone can be controlled by pulling the tendons. Generally, exact modeling of the forces and moments produced by tendon-driven systems has no closed form solution. However, for a simplified case where the backbone shape is a planar curve with a constant curvature, some closed-form solutions have been introduced. Such solutions are valuable, especially in control applications where Jacobian matrices must be calculated. For exact modeling of elastic rods in spatial deformations, constant curvature models are not accurate. In such cases, the theory of Cosserat rod can be used for backbone modeling. Continuum robots usually consist of an elastic rod as the backbone and an actuation system. The effects of the actuation systems must be included to the model of Cosserat rod. The effects of the actuation systems are more complicated, when the tendon passages are not parallel to the backbone. In this paper, a model for continuum robotic arms is presented, which considers both, the elastic backbone and the effects of the actuation system. Furthermore, the tendons can twist around the backbone, in an arbitrary passage. The presented model is more compact than other solutions, and will be validated in a case study, by comparison with numerical results obtained from existing models.

关键词： Robots Vectors

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Dynamics modelling and stable motion control of a Ballbot equipped with a manipulator

Dynamics modelling and stable motion control of a Ballbot eq...

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

作者： Pouya Asgari Payam Zarafshan S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics & Automated Systems (ARAS) Laboratory Department of Mechanical Engineering K. N. Toosi University of Technology Tehran Iran

Human-Robot physical interaction is an important attribute for robots operating in human environments. A Ballbot is an under-actuated system with nonholonomic dynamic constraints. It is a skinny robot with a small base that helps the robot to move in limited space. It is as tall as human height until could interact by people whereas a Ballbot has not been equipped with a manipulator. This manipulator adds new advantages to the Ballbot such as object manipulation and grasping. In this paper and to achieve more performance of a Ballbot, it is equipped with a PUMA type manipulator which gives to the proposed robot the capability of better stabilization. To this end, dynamics equations of the assumed mobile robot is presented and verified. Then, by respecting to this fact that a Ballbot is in the class of under-actuated systems, a control algorithm is proposed to attain the stable motion control of the system. Finally, a simulation routine is performed to move along the desired path/trajectory. Obtained results reveal the merits of the verified model of the new Ballbot and the considered control algorithm which will be discussed.

关键词： Manipulator dynamics

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A new approach in gait planning for humanoid robots

A new approach in gait planning for humanoid robots

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

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

Due to redundancy and natural instability of humanoid robots, their motion planning becomes a challenging task. Designing stable gaits with smooth trajectories for a humanoid robot is the main goal of this article. Taking all related parameters on robot's walking into consideration, a new gait planning approach in the task space is developed. Various aspects like upper-body motion and stability requirements have the most significant role in this new gait planning process. In order to reduce undesired fluctuations on robot center of mass a new method in trajectory planning is also suggested. To show performance of the proposed algorithm, it is compared with another reliable approach in this field, and the results will be discussed.

关键词： Trajectory Planning Joints Stability criteria Robots Foot

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Path planning for localization of an RF source by multiple UAVs on the Crammer-Rao Lower Bound

Path planning for localization of an RF source by multiple U...

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

作者： Seyyed M. Mehdi Dehghan Mohammad Saberi Tavakkoli Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

This paper presents a path planning approach of several UAVs for Radio Frequency (RF) source localization in None Line Of Sight (NLOS) propagation condition using the Received Signal Strength Indication (RSSI). The paths are planned such that the lower bound of standard deviation of localization error, which is equivalent to the Cramer-Rao Lower Bound (CRLB) of the estimation, minimized at any time. Due to the complexity of Jacobin calculation to perform global CRLB optimization, the local values of CRLBs in the current waypoint and next probable waypoints are used in the steepest decent approach to determine the best path. Furthermore, the complexity is reduced by discretizing the space for UAVs to make the computation feasible. The effect of NLOS propagation on the RSSI measurements is simulated by a log-normal distribution and the last estimation of radio source location is used to calculate the local CRLBs. The proposed approach has been simulated and compared with the basic bio-inspired approach of going toward the sensed direction of the source. The result shows better performance than the basic approach.

关键词： Jacobian matrices Noise

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A multi-step Gaussian filtering approach to reduce the effect of non-Gaussian distribution in aerial localization of an RF source in NLOS condition

A multi-step Gaussian filtering approach to reduce the effec...

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

作者： Seyyed M. Mehdi Dehghan Hadi Moradi Advanced Robotics and Intelligent Systems laboratory Control and Intelligent Processing Center School of Electrical and Computer Engineering University of Tehran Tehran Iran

The hybrid localization using Angle of Arrival (AOA) and Received Strength Signal Indicator (RSSI) of an RF source, such as a cell phone in a search and rescue mission, with unknown power and None Line Of Sight (NLOS) condition have been proven to be advantageous compared to using each method separately. The hybrid approach has been proposed to benefit from both RSSI and AOA measurements. In this paper, the initial hybrid method, which was implemented using particle filters due to the multi-modal/non-Gaussian nature of localization in NLOS condition, has been replaced by a multi-step Gaussian filtering approach which provides nearly similar accuracy with better performance. The proposed method has been implemented using extended Kalman filter and Unscented Kalman filter. The simulation results show that the multi-step Gaussian filtering is comparable to particle filter in all cases with better performance. For further evaluation, the effects of uncertainty in the propagation parameters have been studied to show the robustness of each filter to these uncertainties.

关键词： Shadow mapping Atmospheric measurements Particle measurements Scattering Measurement uncertainty Particle filters Equations

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Detecting, locating and crossing a door for a wide indoor surveillance robot

Detecting, locating and crossing a door for a wide indoor su...

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IEEE International Conference on robotics and Biomimetics

作者： DaWei Dai GuoLai Jiang Junbo Xin Xiang Gao LiangLiang Cui YongSheng Ou GuoQiang Fu Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9781479927456

Crossing a door is usually a necessary action for autonomous patrol of an indoor surveillance robot. However, it is difficult for a large robot to cross narrow doors. In this paper, a method for detecting, locating and crossing a door for an indoor surveillance robot with Kinect is presented. Firstly, doors are detected and located based on RGB-D data collected form Kinect. Then, the conversion between robot coordinate system and world coordinate system is discussed. Thirdly, a nonlinear adaptive controller is designed for the robot to move perpendicularly through the door. Experiments were taken on a surveillance robot and the results illustrated the effectiveness of this method.

关键词： Robot kinematics Image edge detection Mobile robots Cameras Surveillance Robot sensing systems

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Attitude Parameters Extraction of UAV Based on Hybrid Computer Vision and Improved Artificial Bee Colony Algorithm

Attitude Parameters Extraction of UAV Based on Hybrid Comput...

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第三十二届中国控制会议

作者： Xue Zhang Haibin Duan Xinge Gao Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical EngineeringBeihang University Advanced Engineering Robotics Faculty of EngineeringUniversity of BristolBristol BS81THU.K.

ISBN: (纸本)9781479900305

In this paper,we proposed a hybrid method in extracting the attitude parameters of unmanned aerial vehicle(UAV), which is based on computer vision and improved artificial bee colony(ABC) *** is used as a characteristic line, whose two parameters,Φandσare utilized to obtain UAV's parameters:roll angleΨand pitch angleθ.Defogging Algorithm is used to make the original pictures clearer and gain the transmission image for horizon *** UAV could obtain the horizon through improved ABC *** also analyzed the relationship between line parameters and UAV parameters and calculated the UAV *** results verified the feasibility and effectiveness of our presented approach.

关键词： unmanned aerial vehicle(UAV) computer vision artificial bee colony(ABC) horizon

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Using general sound descriptors for early autism detection

Using general sound descriptors for early autism detection

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Asian control Conference

作者： Seyyed Hamid R. Ebrahimi Motlagh Hadi Moradi Hamidreza Pouretemad Advanced Robotics and Intelligent Systems Laboratory Control and Intelligent Processing Center of Excellence School of Electrical and Computer Engineering College of Engineering University of Tehran Tehran Iran ARIS and CIPCE School of ECE College of Engineering University of Tehran Iran Shahid Beheshti University Tehran Tehran IR

ISBN: (纸本)9781467357661

Early detection of autism is crucial for successfully dealing with it and reduce/eliminate its effects. In other words, early treatment can make a big difference in the lives of many children with this disorder. Consequently, in this study the pattern recognition algorithms are used to determine the unique features of the voice of autistic children to distinguish between the autistic children and normal children between ages 2 and 3. These descriptors extract various audio features such as temporal features, energy features, harmonic features, perceptual and spectral features. Two feature selection methods are used and the results are compared. One method is based on comparing the effect of using all of a group features together and another method compares the effect of using features one by one. The selected features are used to classify selected children into autistic and non-autistic ones. The results show 96.17 percent accuracy. After feature selection, we classified data using S.V.M classifier for recognizing two types of input data.

关键词： Autism Feature extraction Mel frequency cepstral coefficient Educational institutions Harmonic analysis Accuracy Motion pictures

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Cooperative Object Manipulation by a Space Robot with Flexible Appendages

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International Scholarly Research Notices 2013年第1期2013卷

作者： P. Zarafshan S. Ali A. Moosavian Center of Excellence in Robotics and Control Advanced Robotics and Automated Systems Laboratory Department of Mechanical Engineering K. N. Toosi University of Technology P.O. Box 19395-1999 Tehran Irankntu.ac.ir

Modelling and control of rigid-flexible multibody systems is studied in this paper. As a specified application, a space robotic system with flexible appendages during a cooperative object manipulation task is considered. This robotic system necessitates delicate force exertion by several end-effectors to move an object along a desired path. During such maneuvers, flexible appendages like solar panels may get stimulated and vibrate. This vibrating motion will cause some oscillatory disturbing forces on the spacecraft, which in turn produces error in the motion of the end-effectors of the cooperative manipulating arms. In addition, vibration control of these flexible members to protect them from fracture is another challenging problem in an object manipulation task for the stated systems. Therefore, the multiple impedance control algorithm is extended to perform an object manipulation task by such complicated rigid-flexible multibody systems. This extension in the control algorithm considers the modification term which compensates the disturbing forces due to vibrating motion of flexible appendages. Finally, a space free-flying robotic system which contains two 2-DOF planar cooperative manipulators, appended with two highly flexible solar panels, is simulated. Obtained results reveal the merits of the developed model-based controller which will be discussed.

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A coding style-based plagiarism detection

A coding style-based plagiarism detection

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International Conference on Interactive Mobile and Computer Aided Learning (IMCL)

作者： S. Arabyarmohamady H. Moradi M. Asadpour Advanced Robotics and Intelligent Systems Laboratory & Control and Intelligent Processing Center University of Tehran

In this paper a plagiarism detection framework is proposed based on coding style. Furthermore, the typical style-based approach is improved to better detect plagiarism in programming codes. The plagiarism detection is performed in two phases: in the first phase the main features representing a coding style are extracted. In the second phase the extracted features are used in three different modules to detect the plagiarized codes and to determine the giver and takers of the codes. The extracted features for each code developer are kept in a history log, i.e. a user profile as his/her style of coding, and would be used to determine the change in coding style. The user profile allows the system to detect if a code is truly developed by the claimed developer or it is written by another person, having another style. Furthermore, the user profile allows determining the code giver and code taker when two codes are similar by comparing the codes' styles with the style of the programmers. Also if a code is copied from the internet or developed by a third party, then the style of who claims the ownership of the code is normally less proficient in coding than the third party and can be detected. The difference between the style levels is done through the style level checker module in the proposed framework. The proposed framework has been implemented and tested and the results are compared to Moss which shows comparable performance in detecting plagiarized codes.

关键词： Plagiarism Feature extraction Encoding Vectors Watermarking Internet Conferences

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