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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Chenguang Yang Peidong Liang Arash Ajoudani Zhijun Li Antonio Bicchi Zienkiewicz Centre for Computational Engineering Swansea University UK State Key Lab of Robotics Systems Harbin Institute of Technology China Human-Robot Interfaces and Physical Interaction (HRI2) Laboratory of the Istituto Italiano di Tecnologia Genova Italy College of Automation Science and Engineering South China University of Technology Guangzhou China Interdepartmental Research Center "E. Piaggio" Faculty of Engineering University of Pisa Italy

ISBN: (纸本)9781509037636

The tutor-tutee hand-in-hand teaching may be the most effective approach for a tutee to acquire new motor skills. Repetitive nature of such procedures in a group setting usually results in a high labour cost and time inefficiency. Potential solution can be utilizing robotic platforms playing the role of tutors for demonstrating and transferring the required skills. This requires an appropriate guidance scheme to integrate the tutor's motor functionalities into the robot's control architecture. For instance, for hand-in-hand supervision of the writing task, the tutor's corrections can be applied when necessary, while a very compliant motion can be achieved if no errors are detected. Inspired by this behavior, we develop a teaching interface using a dual-arm robotic platform. In our setup, one arm is connected to the tutees arm providing guidance through a variable stiffness control approach, and the other to the tutor to capture the motion and to feedback the tutees performance in a haptic manner. The reference stiffness for the tutors arm stiffness is estimated in real-time and replicated by the tutees robotic arm. Comparative experiments have been carried out on a dual-arm Baxter robot. The results imply that the human tutor is able to intuitively transfer writing skills to the tutee and also show superior learning performance over over some conventional teaching by demonstration techniques.

关键词： Manipulators Robot sensing systems Impedance Training Muscles Manipulator sensing systems Manipulators impedance muscles Functional training Pedagogy Teaching LABOUR COSTS Human compliant motion Writing Skills Arm spiral arm Coaching Motor Skills

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Biomimetic inspiration for PKM torso design in humanoid robots

Biomimetic inspiration for PKM torso design in humanoid robo...

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IEEE International Conference on Mechatronics and Automation

作者： Hulin Huang Ceccarelli Marco Weimin Zhang Qiang Huang Zhangguo Yu Xuechao Chen Ministry of Education Key Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Beijing China Laboratory of Robotics and Mechatronics University of Cassino and South Latium Cassino Italy Ministry of Education International Joint Research Laboratory of Biomimetic Robots and Systems (Beijing Institute of Technology) Beijing China State Key Laboratory of Intelligent Control and Decision of Complex System Beijing China

ISBN: (纸本)9781479970995

A new torso design of humanoid robot is proposed as a 3-DOF PKM (Parallel Kinematic Manipulator) structure by using results of a biomimetic analysis of torso in humans and animals. Main characteristics of torso in nature are presented from which design requirements are outlined for a solution in humanoid robot. The PKM torso is consist of two platforms and four UPU mechanisms. The usefulness of such a biomimetic inspiration is proved by a numerical simulation of the proposed PKM torso in its basic movements.

关键词： Torso Humanoid robots Joints Thorax Horses Payloads

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controlling force in polarization-maintaining fiber fused biconical tapering

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Mathematical Problems in Engineering 2015年第1期2015卷

作者： Zhang, Wei Rong, Weibin Wang, Lefeng Zheng, Qing Sun, Lining State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150080 China AVIC Xi'An Flight Automatic Control Research Institute Xi'an710065 China

Fused biconical tapering (FBT) is an important method of manufacturing polarization-maintaining fiber (PMF) couplers. However, the tension on the ends of the fibers can affect the performance of the coupler. In this paper, a computer-based method of controlling the drawing force was presented. The system includes a drawing mechanism, rotary position encoders, and a control circuit. A three-dimensional model of a permanent magnet and a coil is constructed, and the relationship among the coil current, rotation angle of the clamp, and electromagnetic force is determined using finite element simulations. Electromagnetic force control based on these simulations can be realized. The method is verified experimentally, and it is shown that a drawing force of 0-1.8 gf can be achieved with an error of within 3.04%. This result can be used in the FBT-based manufacture of fiber components such as fiber couplers and gratings. © 2015 Wei Zhang et al.

关键词： Permanent magnets

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Bi-objective Optimization for Robust RGB-D Visual Odometry

Bi-objective Optimization for Robust RGB-D Visual Odometry

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第27届中国控制与决策会议

作者： Tao Han Chao Xu Ryan Loxton Lei Xie State Key Laboratory of Industrial Control Technology and Institute of Cyber-Systems & Control Zhejiang University Department of Mathematics & Statistics Curtin University

This paper considers a new bi-objective optimization formulation for robust RGB-D visual *** investigate two methods for solving the proposed bi-objective optimization problem:the weighted sum method（in which the objective functions are combined into a single objective function） and the bounded objective method（in which one of the objective functions is optimized and the value of the other objective function is bounded via a constraint）.Our experimental results for the open source TUM RGB-D dataset show that the new bi-objective optimization formulation is superior to several existing RGB-D odometry *** particular,the new formulation yields more accurate motion estimates and is more robust when textural or structural features in the image sequence are lacking.

关键词： Bi-objective Optimization Visual Odometry Motion Estimation robotics

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Modeling the stroke process in table tennis robot using neural network

Modeling the stroke process in table tennis robot using neur...

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IEEE International Conference on robotics and Biomimetics

作者： Kun Zhang Zaojun Fang Jianran Liu State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

ISBN: (纸本)9781467396769

To hit incoming balls back to a desired position, it is a key factor for table tennis robot to get racket parameters accurately. For modeling the stroke process, a novel model is built based on multiple neural networks. The input data for neural networks are the ball velocity differences during the stroke, and racket parameters are the output data. To reduce the influences from the invalid data, a neural network based on each empirical data is established. The training data are clustered based on the empirical data. The way of choosing a neural network to compute the racket parameters depends on the comparison between the new coming data and the empirical data. Moreover, a novel way based on a binocular vision system to verify the stroke model is proposed. Experimental results have showed that the stroke model created via the proposed method is applicable and the verification method is effective.

关键词： modeling stroke process binocular

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Building a dense surface map incrementally from semi-dense point cloud and RGB images

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Frontiers of Information Technology & Electronic Engineering 2015年第7期16卷 594-606页

作者： Qian-shan LI Rong XIONG Shoudong HUANG Yi-ming HUANG State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China Faculty of Engineering and Information Technology The University of Technology Sydney NSW 2007 Australia ZJU-UTS Joint Center on Robotics Zhejiang University Hangzhou 310027 China Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China

Building and using maps is a fundamental issue for bionic robots in field applications. A dense surface map, which offers rich visual and geometric information, is an ideal representation of the environment for indoor/outdoor localization, navigation, and recognition tasks of these robots. Since most bionic robots can use only small light-weight laser scanners and cameras to acquire semi-dense point cloud and RGB images, we propose a method to generate a consistent and dense surface map from this kind of semi-dense point cloud and RGB images. The method contains two main steps：（1） generate a dense surface for every single scan of point cloud and its corresponding image（s） and （2） incrementally fuse the dense surface of a new scan into the whole map. In step （1） edge-aware resampling is realized by segmenting the scan of a point cloud in advance and resampling each sub-cloud separately. Noine within the scan is reduced and a dense surface is generated. In step （2） the average surface is estimated probabilistically and the non-coincidence of different scans is eliminated. Experiments demonstrate that our method works well in both indoor and outdoor semi-structured environments where there are regularly shaped objects.

关键词： Bionic robot Robotic mapping Surface fusion

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IEEE International Conference on Mechatronics and Automation

作者： Ying Wu Qiang Huang Xuechao Chen Zhangguo Yu Libo Meng Gan Ma Peisen Zhang Weimin Zhang Intelligent Robotics Institute Beijing Institute of Technology Beijing China State Key Laboratory of Intelligent Control and Decision of Complex System Beijing China International Joint Research Laboratory of Biomimetic Robots and Systems Ministry of Education Beijing China

ISBN: (纸本)9781479970995

This paper introduces the similarity evaluation on humanoid facial expression. For the purpose of understanding easily, firstly, the process of designing humanoid robot's facial expressions is explored in brief. Then, a similarity function is proposed to evaluate the similarity of the robot facial motion compared with the human being quantitatively based on both the kinematics and dynamics factors, also including how to select the key value of parameter in similarity function. Finally, the effectiveness of the similarity function is confirmed by an experiment of facial expressions based on BHR-4 robot.

关键词： Joints Kinematics Dynamics Trajectory Humanoid robots Rhythm

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Dynamic modeling and control simulation of a modified delta manipulator

Dynamic modeling and control simulation of a modified delta ...

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2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics

作者： Hao, Jianlong Xie, Xiaoliang Bian, Guibin Feng, Zhenqiu Gao, Zhanjie Hou, Zengguang Yu, Hongnian Vladareanu, Luige State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Faculty of Science and Technology Bournemouth University Poole DorsetBH12 5BB United Kingdom Robotics and Mechatronics Department Institute of Solid Mechanics Romanian Academy 15 C-tin Mille Street Bucharest 1 Romania

ISBN: (纸本)9781467391047

The delta parallel mechanism has proven to be a very successful parallel robot design and a number of variants have been proposed in the literature. Taking advantage of its simple construction and the intrinsic features such as high stiffness and accuracy, delta robots play an important role both in the fields of industrial robots and academical fields. In this paper, dynamic modeling and control simulation of a cable-driven modified delta manipulator for haptic interface are discussed. For the parallel mechanism is highly coupled and nonlinear, the dynamic model is of great importance for model-based controller to achieve a satisfactory performance. Based on the principle of virtual work, the dynamic equations of this manipulator are established. The proportional-derivative (PD) computed torque control scheme is proposed for trajectory tracking. With the help of the virtual prototype builded in ADAMS software and used in MATLAB software, the co-simulation is accomplished and the results validate the performance of the controller proposed in this paper. © 2015 IEEE.

关键词： Manipulators

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Inertial Guided Visual Sample Consensus based wearable orientation estimation for body motion tracking

Inertial Guided Visual Sample Consensus based wearable orien...

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IEEE International Conference on robotics and Biomimetics

作者： Yinlong Zhang Jindong Tan Wei Liang Yang Li University of Chinese Academy of Sciences Beijing China Department of Mechanical University of Tennessee Konxville TN USA Key Laboratory of Networked Control Systems Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9781467396769

This paper presents a novel orientation estimate scheme using Inertial Guided Visual SAmple Consensus (IGVSAC) strategy for human body motion tracking. Unlike the traditional visual based orientation estimation methods where outliers among image-pair putative correspondences are removed based on hypothesize-and-verify models such as costly RANSAC, our approach novelly exploits motion prior information (i.e., rotation and translation) deduced from quick-response Inertial Measurement Unit (IMU) as the initial body pose to assist visual sensor in removing hidden outliers, which effectively overcomes the major drawback of those sample- and-consensus models. In addition, our IGVSAC algorithm is able to ensure the estimation accuracy even in the presence of large quantity of outliers among correspondences. Apart from that, the estimated orientation from visual sensor is, in turn, able to correct the IMU estimates using feedback control tactic, which can address IMU inherent long-term drifting issue. Extensive experiments are conducted to verify the effectiveness and robustness of our IGVSAC algorithm. The comparisons with highly accurate VICON Optical Motion Tracking System prove that our orientation estimate system is quite suitable for human body joint capturing.

关键词： Visualization Cameras Estimation Tracking Robustness Linear programming Robot sensing systems

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Shared control for teleoperation enhanced by autonomous obstacle avoidance of robot manipulator

Shared control for teleoperation enhanced by autonomous obst...

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IEEE/RSJ International Conference on Intelligent Robots and systems

作者： Xinyu Wang Chenguang Yang Hongbin Ma Long Cheng Centre for Robotics and Neural Systems Plymouth University Plymouth UK State Key Lab of Intelligent Control and Decision of Complex System Beijing Institute of Technology Beijing China Ministry of Education South China University of Technology Guangzhou China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

In this paper, a human robot shared control strategy is developed and tested on a Baxter robot. Using the proposed method, the human operator only needs to consider the motion of the end-effector of the manipulator, while the manipulator will avoid obstacle by itself without sacrificing the end effector motion performance. An improved obstacle avoidance strategy based on the joint space redundancy of the manipulator is designed. A dimension reduction method is presented to solve the over defined problem of avoiding velocity to achieve a more efficient use of the redundancy. By employment of an artificial parallel system of the teleoperate manipulator and the task switching weighting factor, the proposed control method enable the robot restoring back to the commanded pose smoothly when the obstacle is removed. By implementing the dimension reduction method, the trajectory of each joint of the manipulator can be controlled at the same time to achieve the restoring task. Thus, the proposed control method can eliminate the impact of the obstacle on the remaining task. Satisfactory experiment results demonstrate the effectiveness of the proposed methods.

关键词： Manipulators Collision avoidance Robot kinematics Trajectory Kinematics Robot sensing systems

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