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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Ali Srour Antonio Franchi Paolo Robuffo Giordano CNRS Univ Rennes Inria IRISA Campus de Beaulieu 35042 Rennes Cedex France Robotics and Mechatronics Department Electrical Engineering Mathematics Computer Science (EEMCS) Faculty University of Twente Enschede The Netherlands Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy LAAS-CNRS Université de Toulouse Toulouse France

In this work, we exploit the recent notion of closed-loop state sensitivity to critically compare three typical controllers for a quadrotor UAV with the goal of evaluating the impact of controller choice, gain tuning and shape of the reference trajectory in minimizing the sensitivity of the closed-loop system against uncertainties in the model parameters. To this end, we propose a novel optimization problem that takes into account both the shape of the reference trajectory and the controller gains. We then run a large statistical campaign for comparing the performance of the three controllers which provides some interesting insight for the goal of increasing closed-loop robustness against parametric uncertainties.

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Retinal Disorder Diagnosis Based on Hybrid Deep Learning Models

SSRN

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SSRN 2022年

作者： Sedik, Ahmed El-Hag, Noha A. El-Hoseny, Heba M. El-Banby, Ghada M. Khalaf, Ashraf A.M. Abd El-Samie, Fathi E. El-Shafai, Walid Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Egypt Menoufia University Egypt Department of Electronics and Electrical Communication Engineering Al-Obour High Institute for Engineering and Technology Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Deptartment of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh84428 Saudi Arabia Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtainedwith several modalities such as magnetic resonance (MR) and confocal microscopy need to be classified for anomaly *** MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, braintumors are represented as areas composed of abnormal cells that need to be detected. In addition, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify © 2022, The Authors. All rights reserved.

关键词： Ophthalmology

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Force-Based Pose Regulation of a Cable-Suspended Load Using UAVs with Force Bias

Force-Based Pose Regulation of a Cable-Suspended Load Using ...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： C. Gabellieri M. Tognon D. Sanalitro A. Franchi Robotics and Mechatronics (RaM) group EEMCS faculty University of Twente Enschede The Netherlands CNRS Inria IRISA Univ Rennes Rennes France LAAS-CNRS CNRS Université de Toulouse Toulouse France Electrical electronic and computer engineering department University of Catania Catania Italy Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy

This work studies how force measurement/estimation biases affect the force-based cooperative manipulation of a beam-like load suspended with cables by two aerial robots. Indeed, force biases are especially relevant in a force-based manipulation scenario in which direct communication is not relied upon. First, we compute the equilibrium configurations of the system. Then, we show that inducing an internal force in the load augments the robustness of the load attitude error and its sensitivity to force-bias variations. Eventually, we propose a method for zeroing the load position error. The results are validated through numerical simulations and experiments.

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Vision-Based Kinematic Calibration of Spherical Robots

Vision-Based Kinematic Calibration of Spherical Robots

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RSI/ISM International Conference on robotics and Mechatronics

作者： Pedram Agand Hamid D. Taghirad Amir Molaee Advanced Robotics and Automation System (ARAS) Industrial Control Center of Excellence (ICEE) Department of Systems and Control Faculty of Electrical Engineering K. N. Toosi University of Technology Iran

ISBN: (纸本)9781467372350

In this article, a method to obtain spatial coordinate of spherical robot's moving platform using a single camera is proposed, and experimentally verified. The proposed method is an accurate, flexible and low-cost tool for the kinematic calibration of spherical-workspace mechanisms to achieve the desired accuracy in position. The sensitivity and efficiency of the provided method is thus evaluated. Furthermore, optimization of camera location is outlined subject to the prescribed cost functions. Finally, experimental analysis of the proposed calibration method on ARAS Eye surgery Robot (DIAMOND) is presented;In which the accuracy is obtained from three to six times better than the previous calibration.

关键词： Kinematic Calibration Vision-Base Positioning Eye Surgery Robot Spherical Workspace

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Experimental Validation of Sensitivity-Aware Trajectory Planning for a Quadrotor UAV Under Parametric Uncertainty

Experimental Validation of Sensitivity-Aware Trajectory Plan...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Ali Srour Salvatore Marcellini Tommaso Belvedere Marco Cognetti Antonio Franchi Paolo Robuffo Giordano CNRS Univ Rennes Inria IRISA Rennes Cedex France Department of Electrical Engineering and Information Technology PRISMA Lab University of Naples Federico II Naples Italy Department of Computer Control and Management Engineering Sapienza University of Rome Rome Italy LAAS-CNRS Université de Toulouse CNRS UPS Toulouse France LAAS-CNRS Robotics and Mechatronics Department Electrical Engineering Mathematics Computer Science (EEMCS) Faculty University of Twente Enschede The Netherlands

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

In this work, we provide an experimental vali-dation of the recent concepts of closed-loop state and input sensitivity in the context of robust flight control for a quadrotor (UAV) equipped with the popular PX4 1 1 https://***/ controller. Our objective is to experimentally assess how the optimization of the reference trajectory w.r.t. these sensitivity metrics can improve the closed-loop system performance against model uncertainties commonly affecting the quadrotor systems. To accomplish this, we present a series of experiments designed to validate our optimization approach on two distinct trajectories, with the primary aim of assessing its precision in guiding the quadrotor through the center of a window at relatively high speeds. This approach provides some interesting insights for increasing the closed-loop robustness of the robot state and inputs against physical parametric uncertainties that may degrade the system's performance.

关键词： Uncertainty Sensitivity Target tracking Trajectory planning Perturbation methods Autonomous aerial vehicles Robustness

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Image-Guided Robotic Mastoidectomy Using Human-Robot Collaboration control

Image-Guided Robotic Mastoidectomy Using Human-Robot Collabo...

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2011 IEEE International Conference Mechatronics and Automation(2011 IEEE机电一体化与自动化国际会议)

作者： Byung-Ju Yi Hoon Lim Jung-Min Han Makoto Hashizume Jaesung Hong Seung Hwan Lee Jin Hyeok Jeong Masamichi Oka Nozomu Matsumoto Shizuo Komune Department of Electronic Electrical Control and Instrumentation Eng. Hanyang University Korea Department of Advanced Medical Initiatives Faculty of Medical Sciences Kyushu University Japan Department of Robotics Engineering DGIST Korea Department of Otorhinolatyngology School of Medicine Hanyang University Korea Department of Otorhinolaryngology Graduate School of Medical Sciences Kyushu University Japan

This work proposes an image-guided robotic Mastoidectomy. A surgical navigation software was developed to guide the robot without damaging the critical area. A forbidden-region virtual fixture is implemented for safety. A human-robot collaboration control mode is used to allow the human intervention during surgery, to compensate tremor by operator, and to protect the relevant organs. A temporal bone replica was used as a phantom for the robotic Mastoidectomy. Through the phantom studies, it was shown that the image-guided robotic approach is effective for safe and precise Mastoidectomy.

关键词： Mastoidectomy Admittance control Image-guided navigation Warning system.

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Social Adaptation of Robots for Modulating Self-Organization in Animal Societies

Social Adaptation of Robots for Modulating Self-Organization...

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IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops, SASOW

作者： Payam Zahadat Michael Bodi Ziad Salem Frank Bonnet Marcelo Elias De Oliveira Francesco Mondada Karlo Griparic Tomislav Haus Stjepan Bogdan Rob Mills Pedro Mariano Luis Correia Olga Kernbach Serge Kernbach Thomas Schmickl Artificial Life Laboratory of the Department of Zoology Karl-Franzens University Graz Austria Computer Engineering Department Aleppo University Syrian Arab Republic Rbotic Systems Laboratory Swiss Federal Institute of Technology (EPFL) Lausanne Switzerland Ecole Polytechnique Federale de Lausanne Lausanne VD CH Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia Universidade de Lisboa Lisboa Lisboa PT Cybertronica Research Research Center of Advanced Robotics and Environmental Science Stuttgart Germany

The goal of the work presented here is to influence the overall behaviour of specific animal societies by integrating computational mechatronic devices (robots) into those societies. To do so, these devices should be accepted by the animals aspart of the society and/or as part of the collectively formed environment. For that, we have developed two sets of robotic hardware for integrating into societies of two different animals: zebra fish and young honeybees. We also developed mechanisms to provide feedback from the behaviours of societies for the controllers of the robotic system. Two different computational methods are then used as the controllers of the robots in simulation and successfully adapted by evolutionary algorithms to influence the simulated animals for desired behaviours. Together, these advances in mechatronic hardware, feedback mechanisms, and controller methodology are laying essential foundations to facilitate experiments on modulating self-organised behaviour in mixed animal -- robot societies.

关键词： Animals Heating Vibrations Robot sensing systems Hardware Biochemistry

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Development of a Hybrid-driven Autonomous Underwater Glider with a Biologically Inspired Motion control System

Development of a Hybrid-driven Autonomous Underwater Glider ...

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Asian control Conference

作者： Khalid Isa M. R. Arshad Embedded Computing System Research Group (EmbCos) Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia (UTHM) Underwater Control and Robotics Group (UCRG) School of Electrical and Electronic Engineering Engineering Campus Universiti Sains Malaysia (USM)

ISBN: (纸本)9781479978632

This paper presents prototype development of a hybrid-driven autonomous underwater glider with a biologically inspired motion control system. The hybrid-driven glider with an independently controllable wings and a rudder was developed to overcome the drawback of a typical buoyancy-driven underwater glider in terms of speed and maneuverability. However, it is difficult to control the glider due to the high nonlinear and time-varying dynamic behavior of the glider;uncertainties in hydrodynamics coefficients;and disturbances by water currents. Thus, a robust and reliable bio-inspired controller algorithm has been designed. The controller algorithm has been designed to mimic a human innate control mechanism, which is known as homeostatic controller. The performance of the homeostatic controller of the hybrid-driven glider has been analyzed via simulation and experimental. From the simulation result, our homeostatic controller achieves better performance compared to the LQR, MPC, NN and neuroendocrine controller approaches. Furthermore, validation analysis of the homeostatic controller performance between the simulation and experimental results have shown very satisfactory performance.

关键词： Hybrid-driven underwater glider Homeostatic controller Motion control Homeostasis

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Constructive barrier feedback for collision avoidance in leader-follower formation control

arXiv

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arXiv 2023年

作者： Tang, Zhiqi Cunha, Rita Hamel, Tarek Silvestre, Carlos Institute for Systems and Robotics Instituto Superior Técnico Universidade de Lisboa Portugal Division of Decision and Control Systems KTH Royal Institute of Technology Sweden I3S-CNRS Université Côte d'Azur Institut Universitaire de France France Department of Electrical and Computer Engineering The Faculty of Science and Technology The University of Macau China

This paper proposes a novel constructive barrier feedback for reactive collision avoidance between two agents. It incorporates this feature in a formation tracking control strategy for a group of 2nd-order dynamic robots defined in three-dimensional space. Using only relative measurements between neighboring agents, we propose an elegant decentralized controller as the sum of a nominal tracking controller and the constructive barrier feedback for leader-follower formations under a directed single-spanning tree graph topology. The key ingredient is the use of divergent flow as a dissipative term, which slows down the relative velocity in the direction of the neighboring robots without compromising the nominal controller's performance. Compared to traditional barrier function-based optimization controllers, the proposed constructive barrier feedback avoids feasibility issues and results in more computationally efficient control algorithms with systematic equilibrium analysis. Simulations are provided to validate the effectiveness of the proposed control method. © 2023, CC BY-NC-ND.

关键词： Collision avoidance

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Search-based optimal motion planning for automated driving

arXiv

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arXiv 2018年

作者： Ajanovic, Zlatan Lacevic, Bakir Shyrokau, Barys Stolz, Michael Horn, Martin Virtual Vehicle Research Center Inffeldgasse 21a Graz8010 Austria Faculty of Electrical Engineering University of Sarajevo Sarajevo Bosnia Herzegovina7100 Bosnia and Herzegovina Department of Cognitive Robotics Delft University of Technology Mekelweg 2 Delft2628 Netherlands Institute of Automation and Control at Graz University of Technology Inffeldgasse 21b Graz8010 Austria

This paper presents a framework for fast and robust motion planning designed to facilitate automated driving. The framework allows for real-time computation even for horizons of several hundred meters and thus enabling automated driving in urban conditions. This is achieved through several features. Firstly, a convenient geometrical representation of both the search space and driving constraints enables the use of classical path planning approach. Thus, a wide variety of constraints can be tackled simultaneously (other vehicles, traffic lights, etc.). Secondly, an exact cost-to-go map, obtained by solving a relaxed problem, is then used by A∗-based algorithm with model predictive flavour in order to compute the optimal motion trajectory. The algorithm takes into account both distance and time horizons. The approach is validated within a simulation study with realistic traffic scenarios. We demonstrate the capability of the algorithm to devise plans both in fast and slow driving conditions, even when full stop is required. Copyright © 2018, The Authors. All rights reserved.

关键词： Motion planning

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