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A modular design kit for task-adaptable low-cost robots based on BaPaMan design

G. BORCHERT, C. L?CHTE, G. CARBONE, A. RAATZ

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 1, Pages 33-41 doi: 10.1007/s11465-013-0356-5

Abstract: Additionally this paper shows the implementation of a construction kit which allows task-adaptation ofFinally, task-adaptation is achieved by using a design methodology and a parametric CAD model for BaPaMan

Keywords： binary actuation flexure hinges SMA actuators low-cost design kit task-adaptation

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Nonlinear design-point performance adaptation approaches and their comparisons for gas turbine applications

Y. G. LI, P. PILIDIS,

Frontiers in Energy 2009, Volume 3, Issue 4, Pages 446-455 doi: 10.1007/s11708-009-0042-9

Abstract: method and the other using a Genetic Algorithm-based adaptation approach.The advantages and disadvantages of the two adaptation methods have been compared with each other.The two adaptation approaches have been applied to a model gas turbine engine.The comparison of the two adaptation methods shows that the nonlinear matrix inverse method is fasterand more accurate, while the genetic algorithm-based adaptation method is more robust but slower.

Keywords： gas turbine engine performance adaptation performance matching design-point performance simulation influence

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A novel task-oriented framework for dual-arm robotic assembly task

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 3, Pages 528-545 doi: 10.1007/s11465-021-0638-2

Abstract: This paper proposes a novel framework that combines task-oriented motion planning with visual perceptionThe assembly task and manipulation sequences can be obtained by analyzing and reasoning the state transition

Keywords： dual-arm assembly AI reasoning intelligent system task-oriented motion planning visual perception

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Risk evaluation for the task transfer of an aircraft maintenance program based on a multielement connection

Frontiers of Engineering Management doi: 10.1007/s42524-023-0282-0

Abstract: maintenance programs with a focus on quantitative risk assessment in the domain of aircraft maintenance taskThe paper advances a holistic risk assessment index architecture tailored for the task transfer of maintenancemodel is employed to characterize decision-specific data, thereby facilitating the quantification of taskanalytical construct serves to streamline the process of risk assessment pertinent to maintenance program task

Keywords： risk evaluation maintenance steering group analytic network process task transfer maintenance program

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High-efficiency inspecting method for mobile robots based on task planning for heat transfer tubes in

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0741-z

Abstract: Since there are thousands of tubes to be checked, task planning is essential to guarantee the preciseMost in-service robots check the task tubes using row-by-row and column-by-column planning.This method proceeds into three steps: task allocation, base position search, and sequence planning.To allocate the task regions, this method calculates the tool work matrix and proposes a criterion toWe validated the optimized algorithm by conducting task planning experiments using our robot on a tube

Keywords： steam generator transfer tubes mobile robot dexterous structure task planning efficient inspection

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Real-time task processing method based on edge computing for spinning CPS

Shiyong YIN, Jinsong BAO, Jie LI, Jie ZHANG

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3, Pages 320-331 doi: 10.1007/s11465-019-0542-1

Abstract: A system model is established, and a real-time task processing method is proposed for the edge computingExperimental results indicate that the proposed real-time task processing method based on edge computingcan effectively solve the delay problem of real-time task processing in spinning cyber-physical systems, save bandwidth, and enhance the security of task transmission.

Keywords： edge computing real-time task scheduling CPS spinning

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Sagittal SLIP-anchored task space control for a monopode robot traversing irregular terrain

Haitao YU, Haibo GAO, Liang DING, Zongquan DENG

Frontiers of Mechanical Engineering 2020, Volume 15, Issue 2, Pages 193-208 doi: 10.1007/s11465-019-0569-3

Abstract: mass (CoM) with maneuverability, this study presents a novel two-layered sagittal SLIP-anchored (SSA) taskderiving an approximate solution with satisfactory apex prediction accuracy, and a two-layered SSA taskThe lower layer enforces the monopode robot to reproduce a generated CoM movement by using a task space

Keywords： legged robots spring-loaded inverted pendulum task space control apex return map deadbeat control irregular

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Dual collaboration for decentralized multi-source domain adaptation Research Article

Yikang WEI, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12, Pages 1780-1794 doi: 10.1631/FITEE.2200284

Abstract: supervision knowledge with the collaboration of source models, while the domain gap will lead to limited adaptationcollaboration between the decentralized source domains and target domain, which improves the domain adaptation

Keywords： Multi-source domain adaptation Data decentralization Domain shift Negative transfer

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Comments on “Adaptation of Chinese and German maize-based food-feed-energy systems to limited phosphate

Antje SCHWALB

Frontiers of Agricultural Science and Engineering 2019, Volume 6, Issue 4, Pages 443-444 doi: 10.15302/J-FASE-2019288

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Dynamic parameterized learning for unsupervised domain adaptation Research Article

Runhua JIANG, Yahong HAN

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 11, Pages 1616-1632 doi: 10.1631/FITEE.2200631

Abstract: enables neural networks to transfer from a labeled source domain to an unlabeled target domain by learning domain-invariant representations. Recent approaches achieve this by directly matching the marginal distributions of these two domains. Most of them, however, ignore exploration of the dynamic trade-off between and learning, thus rendering them susceptible to the problems of negative transfer and outlier samples. To address these issues, we introduce the dynamic parameterized learning framework. First, by exploring domain-level semantic knowledge, the dynamic alignment parameter is proposed, to adaptively adjust the of and learning. Besides, for obtaining semantic-discriminative and domain-invariant representations, we propose to align training trajectories on both source and target domains. Comprehensive experiments are conducted to validate the effectiveness of the proposed methods, and extensive comparisons are conducted on seven datasets of three visual tasks to demonstrate their practicability.

Keywords： Unsupervised domain adaptation Optimization steps Domain alignment Semantic discrimination

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Storage hierarchy oriented DPM policy based on task information

Huang Shaomin,Qi Longning,Yang Jun,Hu Chen

Strategic Study of CAE 2010, Volume 12, Issue 2, Pages 83-89

Abstract: The paper proposes task information based (TIB) policy for storage hierarchy oriented DPM.

Keywords： data buffer task information DPM prefetching policy

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Friendship-aware task planning in mobile crowdsourcing Article

Yuan LIANG,Wei-feng LV,Wen-jun WU,Ke XU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 107-121 doi: 10.1631/FITEE.1601860

Abstract: Then, we present an effective crowd-task model which is applied to offline and online settings, respectivelyTo solve the problem in an offline setting, we first observe the characteristics of task planning (CTPTo solve the problem in an online setting, we develop a greedy algorithm for task planning.

Keywords： Mobile crowdsourcing Task planning Greedy algorithms Simulated annealing

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Task Arrangement of the IPD Process Plan

Lu Jianxia,Cheng Chengsong,Lan Xiuju,Chen Yong,Xie Liewei

Strategic Study of CAE 2004, Volume 6, Issue 5, Pages 56-60

Abstract:

This paper is related to task arrangement of the IPD process plan.The IPD task feature is discussed in regard to coupling and administrative levels.The task arrangement modeling and related Hungary algorithms is given with conception of cost matrix,

Keywords： IPD task arrangement process plan goal decision

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An incremental ant colony optimization based approach to task assignment to processors for multiprocessor Article

Hamid Reza BOVEIRI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 4, Pages 498-510 doi: 10.1631/FITEE.1500394

Abstract: Optimized task scheduling is one of the most important challenges to achieve high performance in multiprocessorMost introduced task-scheduling algorithms are based on the so-called list scheduling technique.A number of good approaches for overcoming the task sequence dilemma have been proposed in the literature, while the task assignment problem has not been studied much.

Keywords： Ant colony optimization List scheduling Multiprocessor task graph scheduling Parallel and distributed

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Coalition formation based on a task-oriented collaborative ability vector Article

Hao FANG,Shao-lei LU,Jie CHEN,Wen-jie CHEN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1, Pages 139-148 doi: 10.1631/FITEE.1601608

Abstract: In this paper, a model of task-oriented collaborative abilities is established, where five task-orientedA task demand vector is also described.intelligent algorithm is proposed to compensate for the difference between the expected and actual task

Keywords： Collaborative vector Task allocation Multi-agent system Coalition formation Artificial intelligence