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Modelless and grasping-forceless control by robotic fingers capable of mechanically coupled movement

Modelless and grasping-forceless control by robotic fingers ...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Takahiro Inoue Daisuke Takizawa Shinichi Hirai Department of Systems Engineering of Sports Computer Science and Systems Engineering Okayama Prefectural University Soja Okayama Japan SYSMEX Corporation Kobe Hyogo Japan Department of Robotics Ritsumeikan University Kusatsu Shiga Japan

This paper formulates the dynamics of 5 degrees-of-freedom (DOFs) robotic hand that consists of an index finger and an opposable thumb like the human hand. This system has two geometrical constraints and five velocity constraints generated during the object manipulation task. The three of the velocity constraints are associated with the joint angles of the robot, and are combined to the proposed system on the basis of observations about the fact that the distal two joints of the index finger are mechanically coupled. Based on the equations of motion including these constraints, we perform precise orientation control of a rectangular object grasped by the 5-DOFs robotic hand in the situation that grasping forces are not defined during the manipulation. The manipulation task given is one-finger control (index finger), for which a serial two-phased (STP) controller that had previously been proposed is modified. In experiments, we demonstrate that a simple integral controller designed by eliminating the second stage of the STP controller works well in the soft-fingered manipulation. In both simulations and experiments, it is clearly indicated that Jacobian matrices and the grasping forces are not necessarily required in the control law for accomplishing dexterous manipulation tasks. In other words, it is implied that a complete modelless and grasping-forceless control can be achieved in the task-space control.

关键词： Joints Robot sensing systems Thumb Grasping Trajectory Indexes

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Bézier curve based dynamic obstacle avoidance and trajectory learning for autonomous mobile robots

Bézier curve based dynamic obstacle avoidance and trajector...

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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Tayyab Chaudhry Tauseef Gulrez Ali Zia Shyba Zaheer Intelligent Machines & Robotics Research Group Department of Computer Science Comsats Institute of Information Technology Lahore Pakistan Department of Electrical Engineering College of Engineering and Applied Sciences Al Ghurair University Dubai UAE

This paper addresses the problem of avoiding dynamic obstacles while following the learned trajectory through non-point based maps directly through laser data. The geometric representation of free configuration area changes while a moving obstacle enters into the safety region of autonomous mobile robot. We have applied the Bézier curve properties to the free configuration eigenspaces to satisfy the dynamic obstacle avoidance path constraints. The algorithm is designed to accurately represent the mobile robot's characteristics while avoiding obstacle such as minimum turning radius. Moreover, we also discuss the obstacle avoided path feasibility as a vectorial combination of free configuration eigen-vectors at discrete time scan-frames to manifest a trajectory, which once followed and mapped onto the two control signals of mobile robot will enable it to build an efficient and accurate online environment map. Preliminary results in Matlab have been shown to validate the idea, while the same has been implemented in Player/stage (robotics real-time software) to analyze the performance of the proposed system.

关键词： Trajectory Vehicles Robot sensing systems Mobile robots Mathematical model Lasers

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Augmented reality approach for paper map visualization

Augmented reality approach for paper map visualization

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International Conference on Communication and Computational Intelligence (INCOCCI)

作者： C Adithya K Kowsik D Namrata V S Nageli Sangeeta Shrivastava S Rakshit Department of Information Science B. M. Sreenivasaiah College of Engineering Bangalore India Computer Vision Group Center for Artificial Intelligence and Robotics Bangalore India

Paper map visualization is good value proposition, even in the `everything is digital' world, because of the huge information density and ease of use at any remote or mobile location, especially in the military context. Completely doing away with the paper map brings in a discomfort factor for the military user. In this paper, we present a paper map data visualization solution that augments the information from the digital world onto a spread of a paper map. Augmented Reality techniques are used to enhance paper maps digitally resulting in a 3D visualization space with some interactions. The dynamic information of the terrain, placing virtual objects and interaction are features of the digital world that are superimposed onto a paper map. We have used ARToolkit marker tracking based approach and a see through Head Mounted Device for implementation. The digital elevation data in VRML format is split into smaller bits before rendering. The rendering is done after culling the relevant part of the terrain data and the same is popped up in stereo for enhanced visualization. The user can place virtual objects using markers. The distance between markers (user and reference) is calculated and is used for interactive features. The interaction options are load/select, slice/split and latch/freeze. We have achieved better performance by loading only the region of interest and not the complete terrain. The paper also illustrates the basic hardware set-up required for implementation.

关键词： Augmented reality Data visualization Cameras Three dimensional displays Rendering (computer graphics) Solid modeling Training

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Extraction of 3D images using pitch-actuated 2D laser range finder for robotic vision

Extraction of 3D images using pitch-actuated 2D laser range ...

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International Workshop on Robot Sensing (ROSE)

作者： Pinhas Ben-Tzvi Samer Charifa Michael Shick Robotics and Mechatronics Lab Department of Mechanical and AeroSpace Engineering George Washington University Washington D.C. DC USA Computer Science Corporation Alexandria VA USA Department of Computer Science George Washington University Washington D.C. USA

Volumetric mapping is essential for recognizing the 3D environment and consequentially for the decision making process for special-task mobile robots (such as stair climbing, inspection, or search and rescue). In this paper, we propose a fast surface detection algorithm based on point cloud data from a small pitch-actuated laser range finder mounted on a mobile manipulator arm. The developed algorithm is mainly composed of two steps: (i) gradient based classification; and (ii) Recursive Connected Component Labeling (RCCL) algorithm. The algorithm was experimentally validated. A complete segmentation of different planes in the environment was also successfully accomplished.

关键词： Three dimensional displays Lasers Classification algorithms Robot sensing systems Robot kinematics Surface treatment

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Learning compliance control of robot manipulators in contact with the unknown environment

Learning compliance control of robot manipulators in contact...

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2010 IEEE International Conference on Automation science and engineering, CASE 2010

作者： Li, Yanan Yang, Chenguang Ge, Shuzhi Sam Social Robotics Lab. NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Singapore 119613 Singapore Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Department of Electrical and Computer Engineering Interactive Digital Media Institute National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424454471

In this paper, a control mechanism is presented to improve the compliance performance of the robot manipulator when it is in contact with the unknown environment. This mechanism guarantees that the dynamics of the whole system follows a target impedance model so that the desired compliance performance is obtained. In particular, under the assumption that the dynamics is periodic, a learning law is developed to estimate the unknown dynamics parameters. Besides, the proposed systematic learning control does not require the accurate force measurement. Its performance and robustness are discussed in details by the rigorous analysis. At last, the validity of the proposed method is verified by simulation. © 2010 IEEE.

关键词： Modular robots

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Adaptive predictive control of a class of discrete-time MIMO nonlinear systems with uncertain couplings

Adaptive predictive control of a class of discrete-time MIMO...

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作者： Yang, Chenguang Li, Yanan Ge, Shuzhi Sam Lee, Tong Heng Department of Bioengineering Imperial College London London SW7 2AZ United Kingdom Social Robotics Lab Interactive Digital Media Institute and Department of Electrical and Computer Engineering National University of Singapore Singapore 117576 Singapore Institute of Intelligent Systems University of Electronic Science and Technology of China Chengdu 610054 China

ISBN: (纸本)9781424474264

In this paper, a novel adaptive predictive control is presented for a class of multi-input-multi-output (MIMO) nonlinear systems in block-triangular form with uncertain couplings of states/delayed states as well as inputs among subsystems. For each subsystem of the MIMO system, future states prediction is developed and using the predicted future states, adaptive predictive control is designed under certainty equivalence principal to compensate the parametric uncertainties in the couplings. To eliminate the functional uncertainties in the couplings, a novel compensation mechanism is developed for each subsystem. Under the proposed adaptive controls, all the signals in the closed-loop MIMO systems are guaranteed to be globally bounded. In addition, all the output tracking errors are guaranteed to converge to zeros. The effectiveness of the proposed control is demonstrated in the simulation. © 2010 AACC.

关键词： Couplings

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Verification of sound source localization in reverberation room and its real time adaptation using visual information

Verification of sound source localization in reverberation r...

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IEEE Workshop on Advanced robotics and its Social Impacts, ARSO

作者： Byoung-gi Lee JongSuk Choi Daijin Kim Munsang Kim Center of Cognitive Robot Research Korea Institute of Science and Technology Seoul South Korea Department Computer Science and Engineering Pohang University of Science and Technology South Korea Center of Intelligent Robotics Korea Institute of Science and Technology Seoul South Korea

It is important for intelligent robots to detect the location of user even though the user is not captured by vision cameras. Sound source localization is a technique to detect the direction of sound source using multiple microphones. It enables the robot to respond to the user's call. Sometimes, a robot operates in echoic room, but the performance of sound source localization in echoic room is very poor. In this work, a verification method for reverberation is proposed and tested how much it improves the performance of sound source localization in reverberant environment.

关键词： Microphones Training Reverberation Cameras Feature extraction Robot vision systems

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Sound source localization in reverberant environment using visual information

Sound source localization in reverberant environment using v...

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2010 IEEE/RSJ International Conference on Intelligent Robots and Systems

Recently, many researchers have carried out works on audio-video integration. It is worth exploring because service robots are supposed to interact with human beings using both visual and auditory sensors. In this paper, we propose an audio-video method for sound source localization in reverberant environment. Using visual information from a vision camera, we could train our audio localizer to distinguish a real source from fake sources and improved the performance of audio localizer in reverberant environment.

关键词： Cameras Sensors Robots Visualization Training Microphone arrays

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Internal force compensating method for wall-climbing caterpillar robot

Internal force compensating method for wall-climbing caterpi...

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IEEE International Conference on robotics and Automation (ICRA)

作者： W. Wang K. Wang H. X. Zhang J. W. Zhang Robotics Institute School of Mechanical Engineering and Automation Beijing Aeronautics and Astronautics University Beijing China Institute of Technical Aspects of Multimodal Systems Department of Computer Science University of Hamburg Hamburg Germany

The redundant driving problem is an inherent phenomenon existing in a modular caterpillar robot. To limit the internal forces arising from the redundant driving, this paper proposes a joint torque control method, which is based on an assumption that there is only one active joint in the four-link mechanism driving the climbing gait. Except the active joint, the other three joints are all considered as passive joints, whose torques tend to be zero, although they are driven by motors in reality. According to the analyses of static forces in the closed chain state, the ideal torque of named active joint is calculated, and will be followed by the joint in real climbing locomotion. The experiments reveal the reasonability and feasibility of the proposed joint control method, as well as the limitations of current prototype and control algorithm.

关键词： Climbing robots Motion control robotics and automation Kinematics Biological control systems Torque control Joining processes USA Councils Tail Gravity

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On asymptotic consensus value in directed random networks

On asymptotic consensus value in directed random networks

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IEEE Conference on Decision and Control

作者： Victor M. Preciado Alireza Tahbaz-Salehi Ali Jadbabaie Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA General Robotics Automation Sensing and Perception (GRASP) Laboratory Department of Electrical and Systems Engineering University of Pennsylvania Philadelphia PA USA

ISBN: (纸本)9781424477456

We study the asymptotic properties of distributed consensus algorithms over switching directed random networks. More specifically, we focus on consensus algorithms over independent and identically distributed, directed random graphs, where each agent can communicate with any other agent with some exogenously specified probability. While different aspects of consensus algorithms over random switching networks have been widely studied, a complete characterization of the distribution of the asymptotic value for general asymmetric random consensus algorithms remains an open problem. In this paper, we derive closed-form expressions for the mean and an upper bound for the variance of the asymptotic consensus value, when the underlying network evolves according to an i.i.d. directed random graph process.

关键词： Eigenvalues and eigenfunctions Switches Markov processes Silicon Upper bound Closed-form solution Convergence

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