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ISARC 2027: International Symposium on Automation and Robotics in Construction

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会议日期:
2027-06-26
会议地点:
Odense, Denmark
届数:
ICORE: C   浏览: 1088   关注: 0   参加: 0

会伴指数 (CP-I)

61.3 / 100
全站第 565 名 / 共 5,689 个会议 · 前 10%

土木工程与交通 第 4 / 53 机器人与控制 第 15 / 470

学术认可 (35%)
58
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
100
社区关注 (10%)
5
资料公开度 (15%)
70

用到的输入: 收录等级:ICORE C · 有据可查的届次:44 · 过去 24 个月打开过本页的研究者:1 人

公开资料里还缺: 历年录用率 (+4.5)
主办方认领本会议后,可直接在这一页补上;分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据,而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-01

征稿

ISARC 2027 (International Symposium on Automation and Robotics in Construction) is a ICORE C conference held in Odense, Denmark on 2027-06-26.

Topics Framework The technical areas summarize the paper topic areas of interest, which represents all the research themes that are relevant to ISARC/IAARC. This is an important mechanism for the technical committee to consolidate the knowledge accumulated from each year’s conference while allowing for the smooth incorporation of new research topics and trends in the community. Please note that we require authors upon submission to roughly classify their paper by a multiple choice mode for each of the 3 axis of the topic framework. The areas will be used to facilitate submission review management The number of areas does not necessarily map one-on-one to the Area Chairs; depending on the submission number, some technical areas could have more than one Area Chair while other areas might have none Based on the previous years’ ISARC, the technical areas are grouped into the following three Axes; upon submission of the full paper, authors need to select one and only one major Axis, and up to three areas (among all the Axes) Axis 1: Automation tools and techniques – comprises but is not limited to the following topics: Sensing systems & data infrastructures computing, and visualization, middleware, platforms, and data management (including topics such as imaging systems, laser scanning, data security and privacy, legal aspects, etc.) Information modeling techniques data analysis, simulation, and digital twins (including AI and machine learning, computer vision, point cloud analysis, data science in general, etc.) Human-machine interface, mixed realities including topics such as ergonomics, usability, etc. Automated/robotic devices devices, equipment, and applications (including topics such as construction robotics, automated robotized construction machines, and tools, end-effectors, additive manufacturing/3D printing, exoskeletons, construction safety equipment, etc.) Construction management techniques organization, processes, productivity, safety, etc. Services and business applications Technology management, entrepreneurship, and innovation Technologies and applications in developing countries Other topics Axis 2: Application domains in the construction value chain – comprises but is not limited to the following topics: Developers and real estate: the construction market Architecture, planning, engineering Construction execution management Materials, components, off-site manufacturing prefabrication, modular construction, etc. Supply chain and logistics including micro-/macro-/factory-/site-logistics On-site construction, construction equipment Building operation and maintenance including topics such as energy efficiency and sustainability, smart buildings, healthy and assisted living, etc. Renovation and circularity Other topics Axis 3: Sectors – comprises but is not limited to the following topics: Building construction Infrastructure and civil construction Industrial construction Mining, energy/oil/gas industry Smart, sustainable, and resilient cities including topics such as sustainable buildings and construction, circular economy, etc. Space/maritime/etc. construction Smart mobility and transportation Other topics The IAARC Topics Framework is an initial step towards an IAARC reference architecture framework in tune with other frameworks such as the Reference Architecture Model Industry 4.0 and the IEC’s use cases classification methodology.
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2018High level-of-detail BIM and machine learning for automated masonry wall defect surveying
2018Estimating construction workers’ physical workload by fusing computer & smart insole technologies
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2014Towards autonomous robotic in-situ assembly on unstructured construction sites Using monocular vision
2013Dynamic planning of construction activities using hybrid simulation
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20103D calibration of GPR (ground penetrating radar) for bridge measurements
2010Merging point clouds from heterogeneous 3D scanners for fast update of an earthwork site
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2006Bridge maintenance robotic arm: capacitive sensor for obstacle ranging in particle laden air
2005Instrumentation of a roller compactor to monitor vibration behavior during earthwork compaction
2004The development of a machine vision assisted, teleoperated pavement crack sealer
2003A mechatronics security system for the construction site
2002Automated construction using contour crafting applications on earth and beyond
2001Universal digital environment model for computer integrated road construction
2000Virtual visualization for the mechanical trade
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