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Exoskeleton cloud-brain platform and its application in safety assessment

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose This paper aims at the problem of attaching the data of doctors, patients and the real-time sensor data of the exoskeleton to the cloud in int......

Robot navigation based on improved A* algorithm in dynamic environment

期刊: ASSEMBLY AUTOMATION, 2021; 41 (4)

Purpose The purpose of this paper is to put forward a path planning method in complex environments containing dynamic obstacles, which improves the pe......

Push recovery control for the underactuated lower extremity exoskeleton based on improved capture point concept

期刊: ASSEMBLY AUTOMATION, 2021; 41 (4)

Purpose The purpose of this paper is to use a simple method to enhance the ability of lower limb exoskeletons to restore balance under large interfere......

Collaborative processing and data optimization of environmental perception technologies for autonomous vehicles

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose Autonomous driving depends on the collection, processing and analysis of environmental information and vehicle information. Environmental perc......

Simulation and deep learning on point clouds for robot grasping

期刊: ASSEMBLY AUTOMATION, 2021; 41 (2)

Purpose In this work, the authors aim to provide a set of convenient methods for generating training data, and then develop a deep learning method bas......

A quasi-Monte Carlo statistical three-dimensional tolerance analysis method of products based on edge sampling

期刊: ASSEMBLY AUTOMATION, 2021; 41 (4)

Purpose The conventional statistical method of three-dimensional tolerance analysis requires numerous pseudo-random numbers and consumes enormous comp......

Optimal resource management and allocation for autonomous-vehicle-infrastructure cooperation under mobile edge computing

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose With the continuous technological development of automated driving and expansion of its application scope, the types of on-board equipment con......

A contour-guided pose alignment method based on Gaussian mixture model for precision assembly

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose The purpose of this study was to solve the problem of pose measurement of various parts for a precision assembly system. Design/methodology/ap......

Quadrotor navigation in dynamic environments with deep reinforcement learning

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose This work aims to combine the cloud robotics technologies with deep reinforcement learning to build a distributed training architecture and ac......

Cloud robotic grasping of Gaussian mixture model based on point cloud projection under occlusion

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose In multi-robot cooperation, the cloud can share sensor data, which can help robots better perceive the environment. For cloud robotics, robot ......

Optimal grasp force for robotic grasping and in-hand manipulation with impedance control

期刊: ASSEMBLY AUTOMATION, 2021; 41 (2)

Purpose The purpose of this paper is to achieve stable grasping and dexterous in-hand manipulation, the control of the multi-fingered robotic hand is ......

Trajectory tracking and point stability of three-axis aero-dynamic pendulum with MPC strategy in disturbance environment

期刊: ASSEMBLY AUTOMATION, 2021; 41 (3)

Purpose The purpose of this research on the control of three-axis aero-dynamic pendulum with disturbance is to facilitate the applications of equipmen......

Learning impedance regulation skills for robot belt grinding from human demonstrations

期刊: ASSEMBLY AUTOMATION, 2021; 41 (4)

Purpose The purpose of this paper is to transfer the impedance regulation of manual belt grinding to robot belt grinding control. Design/methodology/a......

Knowledge-enabled digital twin for smart designing of aircraft assembly line

期刊: ASSEMBLY AUTOMATION, 2021; 41 (4)

Purpose The purpose of this paper is to provide a knowledge-enabled digital twin for smart design (KDT-SD) of aircraft assembly line (AAL) to enhance ......

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