This paper explores the integration of Virtual Reality(VR) to a Surgical Robotic Simulation to enhance the quality of data used for training a ground-truth algorithm for surgical procedures performed by the DaVinci ro...
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Collaborative robots boast high flexibility, reliable safety, and strong human-machine collaboration capabilities. However, in practical operations, axis tilt errors can lead to decreased end-effector positioning accu...
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ISBN:
(纸本)9789819607709;9789819607716
Collaborative robots boast high flexibility, reliable safety, and strong human-machine collaboration capabilities. However, in practical operations, axis tilt errors can lead to decreased end-effector positioning accuracy, thereby affecting work performance and quality. To address this issue, this paper presents a kinematic model for collaborative robots that integrates Denavit-Hartenberg (DH) parameter errors with axis tilt errors. Initially referencing the DH method, the model establishes both the robot's kinematic model and a parameter error model. It addresses issues unresolved by traditional non-geometric error compensation methods, namely the inability to establish a mapping relationship between the axis tilt joint positions in the calibration coordinate system and the end-effector positional errors. By utilizing the DH method and incorporating a generalized error matrix model, an improved kinematic model that includes tilt errors is proposed. This paper conducts forward kinematic analysis and employs the Newton-Raphson iteration method for inverse kinematics solutions. Simulation and experimental results demonstrate that, regardless of the influence of the tilt error matrix, the model accurately and effectively determines the end-effector pose and joint angles of the collaborative robot.
With the rapid development of artificial intelligence technology in China, all walks of life have gradually integrated their advanced intelligent algorithm into it, and strive to improve the comprehensive operation ef...
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In weakly textured situation, the point feature SLAM system has a large localization error due to the failure to extract enough point features, and even the running trajectory is lost. To address such problems, an imp...
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作者:
Botha, NatashaMarais, StephenCSIR
Next Generat Enterprises & Inst Cluster Operat Intelligence Pretoria South Africa CSIR
Ctr Robot & Future Prod Mfg Cluster Pretoria South Africa
This study developed a Graphical User Interface (GUI) aimed at teaching the concepts of Machine Learning (ML) algorithms which form the backbone of Artificial intelligence (AI). This is done by means of tutorial video...
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ISBN:
(纸本)9781665408035
This study developed a Graphical User Interface (GUI) aimed at teaching the concepts of Machine Learning (ML) algorithms which form the backbone of Artificial intelligence (AI). This is done by means of tutorial videos and allowing the student to interact with example datasets through a dashboard within the GUI before completing an assessment. This GUI is referred to as a practical station and is one of ten other Industry 4.0 technology practical stations within the MerSETA funded CSIR Learning Factory. The GUI provides an interactive learning experience to introduce the user to three machine learning concepts.
An intelligent wall building robot is designed, which can realize the accurate positioning of the bricks in the wall building operation through the visual recognition system. The mechanical structure of the intelligen...
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This paper discusses a space manipulator for grasping non-cooperative objects and an envelope grasping planning method for objects of different shapes and sizes. A novel space deployable manipulator is proposed in thi...
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ISBN:
(纸本)9789819607709;9789819607716
This paper discusses a space manipulator for grasping non-cooperative objects and an envelope grasping planning method for objects of different shapes and sizes. A novel space deployable manipulator is proposed in this paper, which consist of a finger mechanism and a wrist mechanism. Then, a novel envelope planning method is proposed to make the manipulator grasp objects of different sizes more efficiently and stably. The static analysis of grasping process is carried out, the factors affecting grasping balance are analyzed, and the mathematical model of grasping balance is established. An envelope grasping optimization model with the driving rope length as variable is proposed to obtain the best grasping posture. Finally, the envelope planning simulation is carried out, which verifies that the novel manipulator proposed in this paper has good shape adaptability and size adaptability, and verifies that the envelope grasping method is feasible.
Legged robots are a promising technology whose use is limited by their high energy consumption. Biological and biomechanical studies have shown that the vibration generated by elastically suspended masses provides an ...
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ISBN:
(纸本)9798350332223
Legged robots are a promising technology whose use is limited by their high energy consumption. Biological and biomechanical studies have shown that the vibration generated by elastically suspended masses provides an energy advantage over rigidly carrying the same load. The robotic validation of these findings has only scarcely been explored in the dynamic walking case. In this context, a relationship has emerged between the design parameters and the actuation that generates the optimal gait. Although very relevant, these studies lack a generalizable analysis of different locomotion modes and a possible strategy to obtain optimal locomotion at different speeds. To this end, we propose the use of articulated legs in an extended Spring-Loaded Inverted Pendulum (SLIP) model with an elastically suspended mass. Thanks to this model, we show how stiffness and damping can be modulated through articulated legs by selecting the knee angle at touch-down. Therefore, by choosing different body postures, it is possible to vary the control parameters and reach different energetically optimal speeds. At the same time, this modeling allows the study of the stability of the defined system. The results show how suitable control choices reduce energy expenditure by 16% at the limit cycle at a chosen speed. The demonstrated strategy could be used in the design and control of legged robots where energy consumption would be dynamically optimal and usage time would be significantly increased.
In modern cities, as the demand for transportation increases, the number of vehicles continues to rise, thereby increasing the demand for multi-level parking garages. Unlike traditional open-air parking lots, multi-le...
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Swarm intelligence (SI) algorithms address difficult optimization and decision-making issues using cues from collective behavior. These behaviors are inspired by social creatures like ants, bees, and birds. Using thes...
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