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IEEE International Conference on robotics and Automation

作者： Barbara Arbanas Antun Ivanovic Marko Car Tomislav Haus Matko Orsag Tamara Petrovic Stjepan Bogdan University of Zagreb Faculty of Electrical Engineering and Computing LARICS Laboratory for Robotics and Intelligent Control Systems Unska 3 10000 Croatia

ISBN: (纸本)9781467380270

In this paper we present a study of a robotic system that consists of an unmanned aerial vehicle equipped with a pair of manipulator arms (MMUAV), and unmanned ground vehicles (UGVs). The envisioned application scenario includes autonomous packet transportation, where MMUAV is used for picking/placing packets, while both MMUAV and UGV can be used for packet transportation, with different energy consumption profiles. We propose a reactive method for decentralized task planning and coordination of robots using hierarchical task decomposition based on TAEMS framework. Our approach takes into account low-level motion-planning aspects of the system as well as high-level mission specification, making this a multi-layered system. For low-level planning we use sampling-based planner combined with obstacle-free trajectory generation. Methods are verified in simulations and on an experimental testbed, using 3D robotics quadcopter and Pioneer 3DX mobile robots with the results showing stability and robustness of the presented methods.

关键词： System Autonomous Delivery

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Teleoperation control of Baxter Robot based on Human Motion Capture

Teleoperation Control of Baxter Robot based on Human Motion ...

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IEEE International Conference on Information and Automation

作者： Guangzhu Peng Chenguang Yang Yiming Jiang Long Cheng Peidong Liang Key Lab of Autonomous Systems and Networked Control Ministry of Education South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China State Key Laboratory of Robotics and System Harbin Institute of Technology China

ISBN: (纸本)9781509041039

The traditional 3D human motion capture methods require operators to wear tracking sensors on their body. However, these devices would bring operators much inconvenience. Currently, vision based motion capture systems provide us an alternative approach for motion capture technology. In this paper, based on human kinematics and function approximation technique (FAT), a novel method is presented for the trajectory control of Baxter robot. Each arm of the Baxter robot has seven degrees of freedom. The geometry vector approach is applied to capture human motion trajectory by using Microsoft Kinect sensor. A FAT control system is employed to make the robot follow the trajectory of human motion. The UDP communication protocol is employed to send the reference human joint angle data to the robot. We carry out preliminary experiments on Baxter robot to verify the validity of the control approach and the results demonstrate that the method has achieved satisfactory performance.

关键词： Teleoperation control Baxter Robot Human Motion Capture

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Low-obstacle detection using stereo vision

Low-obstacle detection using stereo vision

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Robert Bichsel Paulo V K Borges Robotics Systems and Control Program at ETH Zurich Switzerland Autonomous System Laboratory - CSIRO Digital Productivity Flagship - 1 Technology Court Pullenvale QLD 4066 Australia

ISBN: (纸本)9781509037636

Real-time obstacle detection is a key component of autonomous vehicles. In this context, low obstacles are particularly challenging, as they are often discarded by traditional algorithms. Curb detection methods that can potentially be suitable for the problem usually target roads with clearly defined curbs and sidewalks. We propose a real-time algorithm for the detection of low obstacles (including, but not restricted to curbs), merging 2-D and 3-D information from stereo imaging. A set of candidate object lines is extracted based on their combined 2-D and 3-D features, tracked over time and clustered according to a novel similarity metric. Finally, a 3rd order polynomial spline is fitted to each cluster to represent the obstacle. The proposed system can deal with noisy and incomplete point clouds and keeps the model assumptions to a minimum. To evaluate the algorithm, a new stereo dataset is provided and made available online. We present experiments in different scenarios and lighting conditions, illustrating the applicability of the method.

关键词： Kerbstones Stereoviews Obstacle detection Autonomous Vehicles Three Dimensions Noise Road Crucial components stereo imaging

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control laws development for a free-flying unmanned robotic system to support interplanetary bodies prospecting and characterization missions

Control laws development for a free-flying unmanned robotic ...

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AIAA Guidance, Navigation, and control Conference, 2016

作者： Perez, Andres E. Moncayo, Hever Prazenica, Richard J. Zacny, Kris Mueller, Robert P. Ebert, Tom Dupuis, Michael Flight Dynamics and Control Research Laboratory Embry-Riddle Aeronautical University Daytona BeachFL32114 United States Aerospace Engineering Department Embry-Riddle Aeronautical University Daytona BeachFL32114 United States Exploration Technology Group Honneybee Robotics Company CA United States Exploration Research and Technology Programs Science and Technology Projects Division NASA Kennedy Space Center FL United States Autonomous Flight Systems Lead Testing and Design Branch NASA Kennedy Space Center FL United States Robotics and Autonomous Systems Testing and Design Branch NASA Kennedy Space Center FL United States

ISBN: (数字)9781624103896

ISBN: (纸本)9781624103896

In situ Resource Utilization (ISRU) facilitates planetary exploration by drawing needed resources, such as water, from the local environment. However, the extreme nature of these environments require the development of advanced unmanned space systems integrated with sample-capture devices to achieve the ultimate goal of prospecting these resources. This paper presents the design, development and Hardware-in-the-Loop (HIL) simulation testing of guidance and tracking control laws for an autonomous small marsupial free-flyer prospector system. The control laws are based on an extended non-linear dynamic inversion (NLDI) approach and its implementation is illustrated through HIL simulation using a mathematical model of an autonomous vehicle research platform developed by NASA Kennedy Space Center. This vehicle has been designed to support the development, testing and validation of algorithms for safe, reliable, and scalable control space missions with minimal need for human intervention in complex, unstructured environments. The main objective of the control laws is to minimize 3-axis distances with respect to a desired trajectory and maintain stability and adequate performance in the presence of uncertainties. The performance of the control laws is evaluated during autonomous flight in terms of trajectory tracking errors, real-time execution on board the flight computer, and control activity at nominal and dynamically-changing conditions. The results show that for all mission cases investigated the control laws approach has desirable capabilities and is reliable for in-flight testing operation as a next step towards the validation and verification of this configuration. © 2016, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Hardware-in-the-loop simulation

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The PANDORA project: a success story in AUV autonomy

The PANDORA project: a success story in AUV autonomy

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Oceans (conference)

作者： Francesco Maurelli Marc Carreras Joaquim Salvi David Lane Maria Fox Derek Long Petar Kormushev Darwin Caldwell Kostas Kyriakopoulos George Karras Chair of Robotics and Embedded Systems (I6) Technische Universit?t München Garching bei München DE Depart. dArquitectura i Tecnologia de Computadors Universitat de Girona Girona Spain Ocean Systems Laboratory Heriot-Watt University Edinburgh Scotland UK Department of Informatics Kings College Londons London UK Advanced Robotics Department Italian Institute of Technology Genoa Italy Control Systems Laboratory National Technical University of Athens Athens Greece

ISBN: (纸本)9781467397254

This paper presents some of the results of the EU-funded project PANDORA - Persistent Autonomy Through Learning Adaptation Observation and Re-planning. The project was three and a half years long and involved several organisations across Europe. The application domain is underwater inspection and intervention, a topic particularly interesting for the oil and gas sector, whose representatives constituted the Industrial Advisory Board. Field trials were performed at The Underwater Centre, in Loch Linnhe, Scotland, and in harbour conditions close to Girona, Spain.

关键词： PANDORA project AUV

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A kind of online self-tuning smith predictor

A kind of online self-tuning smith predictor

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IEEE International Conference on Mechatronics and Automation

作者： Xu Chen Fei Meng Xiaopeng Chen Qiang Huang Intelligent Robotics Institute Beijing Institute of Technology Beijing China Beijing Advanced Innovation Center for Intelligent Robots and System Beijing Institute of Technology Beijing China Key Laboratory of Biomimetic Robots and Systems Beijing Institute of Technology Beijing China International Joint Research Laboratory of Biomimetic Key Laboratory of Intelligent Control and Decision of Comp lex System Beijing China

ISBN: (纸本)9781509023974

This paper presents an online self-tuning Smith Predictor for the First Order Plus Dead Time Model (FOPDT). It can tune time delay through oscillated input and output. Realtime phase difference detection is used to obtain the phase difference between the input and the output. An online tuner is used to minimize the phase difference. Once the phase difference is minimized, the exact time delay is completely compensated. Our method is suitable for both systems with constant time delay or variant time delay.

关键词： Delay effects Temperature control Delays Predictive models Oscillators Robots

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面向认知公差的精密冲压工艺适应性设计方法

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2015年第5期16卷 387-394页

作者： Xun GONG Yi-xiong FENG Zi-wu REN Jin CHENG Jian-rong TAN The State Key Laboratory of Fluid Power Transmission and Control Zhejiang University Robotics and Micro Systems Center Soochow University

目的:精密冲压工艺过程中环境变量的波动导致工件出现破裂和皱褶等缺陷。探讨精密冲压工艺过程中环境变量(工件材质、冲压速度、压力、模具间隙和温度变化等)对冲压质量的影响,研究适应性工艺设计方法,提高精密冲压工件的质量。创新点:1... 详细信息

目的:精密冲压工艺过程中环境变量的波动导致工件出现破裂和皱褶等缺陷。探讨精密冲压工艺过程中环境变量(工件材质、冲压速度、压力、模具间隙和温度变化等)对冲压质量的影响,研究适应性工艺设计方法,提高精密冲压工件的质量。创新点:1.通过马尔科夫模型方程,推导出环境变量与精密加工波动公差之间的关系;2.建立试验模型,成功模拟适应性冲压工艺过程。方法:1.通过实验分析,推导出冲压过程中的晶粒流动和强度变化对成型零件的尺寸公差波动产生较大的影响(图2和3);2.通过理论推导,构建环境变量与加工波动公差之间的关系,得到适应性的工艺参数调节方案(公式16);3.通过仿真模拟,运用适应性设计方法在精密冲压过程中对工艺参数进行适应性调节,验证所提方法的可行性和有效性(图5)。结论:1.精密冲压过程中工艺参数需要根据不同的环境变量进行调节;2.环境变量与加工波动公差之间存在映射关系,运用隐马尔科夫模型实现关联表征;3.运用适应性设计方法对精密冲压工艺参数进行调节,加工波动公差明显减小,工件质量得到提高。

关键词：适应性设计公差工况驱动精密冲压工艺

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Combined actuator sensor unit for interaction with honeybees

Combined actuator sensor unit for interaction with honeybees

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IEEE Sensors Applications Symposium, SAS

作者： Karlo Griparic Tomislav Haus Damjan Miklic Stjepan Bogdan Faculty of Electrical Engineering and Computing Laboratory for Robotics and Intelligent Control Systems Zagreb Croatia

Interacting with a specific animal society by integrating autonomous robot/s into the society, has become a powerful method to influence the behaviour of animals and investigate collective behaviour of both, animal and robot societies. In order to interact with animals, artificial unit/s should be well integrated into their society. In the European project ASSISIbf, a network of static autonomous robots called CASUs (Combined Actuator Sensor Units) for interaction with young honeybees has been designed. In the proposed approach CASUs can affect honeybees using three types of physical stimuli: heat, vibration and light. To provide feedback signals necessary for controlling CASU interaction with honeybees, accurate and reliable measurements of the stimuli are necessary. This paper describes the mechanical and electronic design of CASUs, capable of emitting controllable heat, vibration and light stimulations. Each CASU is equipped with temperature sensors, 3-axis accelerometers, infrared proximity sensors and microcontroller for data processing. Preliminary experimental results with honeybee groups are presented.

关键词： Robot sensing systems Vibrations Temperature measurement Temperature sensors Animals Heating

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Task specific cooperative grasp planning for decentralized multi-robot systems

Task specific cooperative grasp planning for decentralized m...

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IEEE International Conference on robotics and Automation (ICRA)

作者： Rajkumar Muthusamy Charalampos P. Bechlioulis Kostas J. Kyriakopoulos Ville Kyrki The authors are with the Intelligent Robotics Group Aalto University Finland Control Systems Laboratory National Technical University of Athens Zografou Greece

ISBN: (纸本)9781479969241

Grasp planning in multi-robot systems is usually studied in a centralized setting with all robots sharing common knowledge about the overall system. Relaxing this assumption would allow multiple mobile manipulators to cooperate even without strict and precise coordination. Moreover, most typical tasks for cooperative settings, such as transporting heavy objects, require certain forces/torques to be exerted along/around particular directions, for instance, compensating for the weight of the transported object. In this paper, we propose task specific multi-robot grasp planning strategies that allow decentralized planning. Each agent plans its own actions without precise information about the other's plans. The approach is based on analysing a task specific grasp quality metric in a probabilistic context, compensating thus for the incomplete knowledge. Results from simulation experiments demonstrate that task independent planning is clearly inferior when task characteristics are known and thus task specific quality measures should be used. Furthermore, the proposed decentralized planning approaches clearly outperform the baseline and show close to globally optimal performance.

关键词： Planning Robot kinematics Grasping Measurement Force Multi-robot systems

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Sample Efficient Path Integral control under Uncertainty 15

Sample Efficient Path Integral Control under Uncertainty

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Annual Conference on Neural Information Processing systems

作者： Yunpeng Pan Evangelos A. Theodorou Michail Kontitsis Autonomous Control and Decision Systems Laboratory Institute for Robotics and Intelligent Machines School of Aerospace Engineering Georgia Institute of Technology Atlanta GA 30332

ISBN: (纸本)9781510825024

We present a data-driven optimal control framework that is derived using the path integral (PI) control approach. We find iterative control laws analytically without a priori policy parameterization based on probabilistic representation of the learned dynamics model. The proposed algorithm operates in a forward-backward manner which differentiate it from other PI-related methods that perform forward sampling to find optimal controls. Our method uses significantly less samples to find analytic control laws compared to other approaches within the PI control family that rely on extensive sampling from given dynamics models or trials on physical systems in a model-free fashion. In addition, the learned controllers can be generalized to new tasks without re-sampling based on the compositionality theory for the linearly-solvable optimal control framework. We provide experimental results on three different tasks and comparisons with state-of-the-art model-based methods to demonstrate the efficiency and generalizability of the proposed framework.

关键词： Optimal control PI control Curvilinear integral control law Generalization Uncertainty Frameworks Religious Missions

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