2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)最新文献_第9页

Motion Planning for Mobile Robots using the Human Tracking Velocity Obstacles Method 基于人跟踪速度障碍法的移动机器人运动规划

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2022-01-01 DOI: 10.5220/0011318200003271

Z. Gyenes, I. Mamaev, Dongxu Yang, Emese Szádeczky-Kardoss, B. Hein

引用次数: 1

World State-dependent Action Graph: A Representation of Action Possibility and Its Variations in Real Space based on World State 世界状态依赖的行动图:一种基于世界状态的真实空间行动可能性及其变化的表示

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2022-01-01 DOI: 10.5220/0011298000003271

Yosuke Kawasaki, Masaki Takahashi

引用次数: 0

A Geometric Approach for Partial Liquids' Pouring from a Regular Container by a Robotic Manipulator 机械臂从常规容器中倒出部分液体的几何方法

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2022-01-01 DOI: 10.5220/0011321600003271

Jeeangh Reyes-Montiel, A. Marín-Hernández, Sergio Hernandez-Mendez

{"title":"A Geometric Approach for Partial Liquids' Pouring from a Regular Container by a Robotic Manipulator","authors":"Jeeangh Reyes-Montiel, A. Marín-Hernández, Sergio Hernandez-Mendez","doi":"10.5220/0011321600003271","DOIUrl":"https://doi.org/10.5220/0011321600003271","url":null,"abstract":": Partial liquid pouring is a very useful task in many environments; however, it is still a very challenging task for autonomous mobile robots. In this work, is presented a geometric approach to accurately partial pouring by autonomous robots. While diverse approaches propose to deal with this problem measuring liquid’s volume at destination container, in this work is analyzed the geometry and initial volume of liquid at pouring container, i.e., liquid’s volume and container characteristics are known. Then based on the transversal sections volumes’ is proposed to control pouring. Proposed approach computes the cross-section areas formed by liquid in the container when this is tilted an angle θ . The geometric analysis shows that an angle-based linear control does not guarantee a regular ﬂow to perform an accurate liquid control, since cross-sectional volumes have not linear relation with the angle θ when tilted. As it is show in this work, these volumes increase and decrease according to the tilted angle and the container characteristics. To effectively obtain a regular ﬂow those volumes should be considered in the control phase as here is proposed.","PeriodicalId":6436,"journal":{"name":"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)","volume":"119 1","pages":"688-694"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77223093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

A Single Motor Driving and Steering Mechanism for a Transformable Bicycle 一种可变形自行车的单电机驱动转向机构

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2022-01-01 DOI: 10.5220/0011349200003271

K. Sekiné, I. Mizuuchi

引用次数: 0

Design and Validation of an Adaptive Force Control Algorithm with Parameter Estimation Unit for Electromechanical Feed Axis 机电进给轴参数估计自适应力控制算法的设计与验证

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2022-01-01 DOI: 10.5220/0011191500003271

André Sewohl, Manuel Norberger, S. Sigg, H. Schlegel, M. Dix

{"title":"Design and Validation of an Adaptive Force Control Algorithm with Parameter Estimation Unit for Electromechanical Feed Axis","authors":"André Sewohl, Manuel Norberger, S. Sigg, H. Schlegel, M. Dix","doi":"10.5220/0011191500003271","DOIUrl":"https://doi.org/10.5220/0011191500003271","url":null,"abstract":": Production technology is characterized by the use of electromechanical feed axes, for which the concept of cascade control has become established. The concept is based on linear control engineering. It is not suitable for the control of process forces, which is associated with nonlinearities. Here, adaptive control algorithms from the field of higher control engineering represent a promising approach for improvements of manufacturing strategies and processes in terms of stability, quality, and efficiency. This can also ensure in reducing the number of parts rejected due to bad quality and thus aiding as a significant economic benefit. In this paper, the development of an adaptive control concept that automatically reacts to different and changing environmental conditions during the process is presented. The digital, parameter-adaptive controller consists of a recursive online parameter estimation unit, the controller design procedure, which is based on the setting rule for the symmetric optimum, and the control algorithm. The functionality of the adaptive control concept is demonstrated in simulation and validated by means of experiments on a test setup. It is real-time capable and implemented directly on the machine control together with all calculation algorithms.","PeriodicalId":6436,"journal":{"name":"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)","volume":"19 1","pages":"629-639"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89578484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of Gait Phases with Neural Networks for Smooth Transparent Control of a Lower Limb Exoskeleton 基于神经网络的下肢外骨骼平滑透明控制步态相位识别

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2021-07-08 DOI: 10.5220/0010554401710178

Vittorio Lippi, Cristian Camardella, Alessandro Filippeschi, Francesco Porcini

引用次数: 1

Learning-based vs Model-free Adaptive Control of a MAV under Wind Gust 基于学习与无模型的MAV阵风自适应控制

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2021-01-29 DOI: 10.1007/978-3-030-92442-3_19

Thomas Chaffre, J. Moras, Adrien Chan-Hon-Tong, J. Marzat, K. Sammut, G. Chenadec, B. Clement

引用次数: 4

Constrained Reachability Problems for a Planar Manipulator 平面机械臂的约束可达性问题

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2021-01-20 DOI: 10.1007/978-3-030-92442-3_2

S. Cacace, A. C. Lai, P. Loreti

引用次数: 2

Empirical Analysis of the Impact of Additional Padding on the Collaborative Robot Velocity Behavior in Transient Contact Cases 附加填充对瞬态接触情况下协同机器人速度行为影响的实证分析

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2021-01-01 DOI: 10.5220/0010604202160223

C. Schneider, M. Seizmeir, T. Suchanek, M. Hutter-Mironovová, M. Bdiwi, M. Putz

引用次数: 0

The Furtherance of Autonomous Engineering via Reinforcement Learning 强化学习对自主工程的促进

2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010) Pub Date : 2021-01-01 DOI: 10.5220/0010544200490059

Doris Antensteiner, Vincent Dietrich, Michael Fiegert

{"title":"The Furtherance of Autonomous Engineering via Reinforcement Learning","authors":"Doris Antensteiner, Vincent Dietrich, Michael Fiegert","doi":"10.5220/0010544200490059","DOIUrl":"https://doi.org/10.5220/0010544200490059","url":null,"abstract":"Engineering efforts are one of the major cost factors in today’s industrial automation systems. We present a configuration system, which grants a reduced obligation of engineering effort. Through self-learning the configuration system can adapt to various tasks by actively learning about its environment. We validate our configuration system using a robotic perception system, specifically a picking application. Perception systems for robotic applications become increasingly essential in industrial environments. Today, such systems often require tedious configuration and design from a well trained technician. These processes have to be carried out for each application and each change in the environment. Our robotic perception system is evaluated on the BOP benchmark and consists of two elements. First, we design building blocks, which are algorithms and datasets available for our configuration algorithm. Second, we implement agents (configuration algorithms) which are designed to intelligently interact with our building blocks. On an examplary industrial robotic picking problem we show, that our autonomous engineering system can reduce engineering efforts.","PeriodicalId":6436,"journal":{"name":"2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)","volume":"88 1","pages":"49-59"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76582594","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0