the field of 3D shape representations and recognition is changing over years withthe advancement in computer vision and use of machine learning in the same field. the 3D model classification is an important problem, ...
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ISBN:
(纸本)9781538652572
the field of 3D shape representations and recognition is changing over years withthe advancement in computer vision and use of machine learning in the same field. the 3D model classification is an important problem, with applications in automotive, robotics, CAD visions, augmented reality and many more. In this research, machine learning is an important field with which we extract useful information from the AutoCAD drawing consisting of 3D Objects. It uses Features based classification techniques to identify different components for an AutoCAD drawing. this research is useful in tackling the problems where in there is a need to comprehend the CAD drawings with 3D objects present in it.
the inspection of railway tunnels can be time-consuming and costly, relying on manual inspection for the most part that tends to become inefficient with time. the operational environment of tunnels is unaccommodating ...
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ISBN:
(纸本)9781862203426
the inspection of railway tunnels can be time-consuming and costly, relying on manual inspection for the most part that tends to become inefficient with time. the operational environment of tunnels is unaccommodating to the inspecting personnel, by exposing them to dust, humidity, and absence of natural lighting. the purpose of this work is to develop a robotic system to automatically detect for cracks on the tunnel's concrete surfaces. the system will utilize visual inspection methods, using computer vision image processing algorithm for the detection of cracks. Within this work, a concept for a robotic system's prototype, along with developed imaged processing techniques, and conducted experiments used to test and identify the effectiveness and limitations of the vision system's capabilities in crack detection on a mimicked railway tunnel concrete wall. the experimental results have provided comprehensive data to prove the feasibility of such a system for use in automated railway tunnel inspections.
the proceedings contain 259 papers. the topics discussed include: design and fabrication of a disposable micro end effector for concentric tube robots;formation forming based low-complexity swarms with distributed pro...
ISBN:
(纸本)9781509035496
the proceedings contain 259 papers. the topics discussed include: design and fabrication of a disposable micro end effector for concentric tube robots;formation forming based low-complexity swarms with distributed processing for decision making and resource allocation;1st prototype of a variable viscoelastic joint system with a clutch composed of pneumtic air muscle and magneto rheological brake;optimization of concentric-tube robot design for deep anterior brain tumor surgery;development of a lightweight power-assist suit using pneumatic artificial muscles and balloonamplification mechanism;a review on perception-driven obstacle-aided locomotion for snake robots;a survey on tactical control algorithms for path tracking unmanned surface vehicles;and nonlinear output feedback tracking control of a quadrotor UAV in the presence of uncertainty.
In this paper, the weighted \mathcal{L}-control-gain performance on positive system with time-varying delay is investigated. An impulse time dependent hybrid control scheme is proposed by applying the proportional control...
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the paper presents a solution to controlthe 18O isotope concentration at the output of a separation column. the proposed mathematical model which describes the work of the separation column is a distributed parameter...
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this paper surveys recent challenges and solutions in the design, implementation, and verification of embedded software for robotics. Emphasis is placed on mobile robots, like self-driving cars. In design, it addresse...
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ISBN:
(纸本)9781538655603
this paper surveys recent challenges and solutions in the design, implementation, and verification of embedded software for robotics. Emphasis is placed on mobile robots, like self-driving cars. In design, it addresses programming support for robotic systems, secure state estimation, and ROS-based monitor generation. In the implementation phase, it describes the synthesis of control software using finite precision arithmetic, real-time platforms and architectures for safety-critical robotics, efficient implementation of neural network based-controllers, and standards for computer vision applications. the issues in verification include verification of neural network-based robotic controllers, and falsification of closed-loop control systems. the paper also describes notable open-source robotic platforms. Along the way, we highlight important research problems for developing the next generation of high-performance, low-resource-usage, correct embedded software.
Tele-surgical robotic systems are making our vision of "virtual open surgery" into reality by using minimum invasive techniques with laparoscopic vision technology. the commercial available minimally invasiv...
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In this paper, the \boldsymbol{L}-{\infty} control synthesis problem for linear systems subject to actuator saturation and persistent bounded disturbance is studied. An \boldsymbol{L}-{\infty} dynamic output feedback ...
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the proceedings contain 267 papers. the topics discussed include: Schmidt-Kalman filters for systems with uncertain parameters and asynchronous sampling;a teleoperated robotic catheter system with motion and force fee...
ISBN:
(纸本)9788993215151
the proceedings contain 267 papers. the topics discussed include: Schmidt-Kalman filters for systems with uncertain parameters and asynchronous sampling;a teleoperated robotic catheter system with motion and force feedback for vascular surgery;pedestrian dead reckoning system using dual IMU to consider heel strike impact;tracking control of a multirotor UAV in a network environment with time-varying delay;detection of abnormal shadows on temporal subtraction images based on multi-phase CNN;synchronization of Lur’e-type nonlinear systems over networks of linear dynamical systems: Lyapunov-based singular perturbation approach;large size painting with infraless vision-aided mobile robot;visual servoing and compliant motion control of a continuum robot;and online system identification of unmanned aerial vehicle in upset condition.
In this paper, based on monocular vision, a workpiece positioning method is proposed for solving the workpiece grabbing program on the planar workbench of industrial assembly line. When an object has large affine defo...
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ISBN:
(数字)9781728107707
ISBN:
(纸本)9781728107714
In this paper, based on monocular vision, a workpiece positioning method is proposed for solving the workpiece grabbing program on the planar workbench of industrial assembly line. When an object has large affine deformations, contour information based methods may fail to estimate the object position. To solve this problem, we first use affine-scale invariant feature transform (A-SIFT) method to find the coarse matched feature points between the measured workpiece and the planned one. then, a criterion is established to evaluate the matching accuracy of these coarse matched feature points. Finally, we select a well-matched subset from the coarse matched ones to calculate displacement and rotation angles between the measured workpiece and the planned one. Experimental results show that this method handles well for various workpieces with different shapes and achieves high matching accuracy. Especially, it is also applicable for large affine changes under different industrial scenes.
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