报告详情
Adapting to Danger: Robotics for Risky, Remote, and Hostile Conditions
编号：50
访问权限：仅限参会人
更新：2025-11-19 09:24:44 浏览：7次
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报告开始：暂无开始时间（Asia/Amman）
报告时间：暂无持续时间
所在会场：[暂无会议] [暂无会议段]
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摘要
The deployment of robotics in risky, remote, and hostile environments is revolutionizing how industries approach tasks that pose significant challenges to human safety and efficiency. This paper explores the advancements in robotic systems designed to operate in extreme conditions, such as disaster zones, deep-sea exploration, mining operations, and space exploration. Emphasizing their ability to adapt to unpredictable and dynamic environments, the study highlights key innovations, including autonomous navigation, robust materials, and advanced sensor integration. Additionally, it examines the ethical and logistical challenges of deploying robotics in scenarios where human lives and ecosystems are at stake. The paper presents case studies on robotics deployed in hazardous scenarios, such as autonomous underwater vehicles (AUVs) for deep-sea pipeline inspection reducing maintenance costs by 35%, legged robots for disaster-struck urban environments capable of traversing 90% of collapsed structures, and robotic arms for space station maintenance increasing operational efficiency by 75%. By synthesizing insights from these case studies, we propose a roadmap for the future of robotics in hostile conditions, identifying key areas for interdisciplinary research and development. The implications of ethical, legal, and societal challenges associated with autonomous robotic deployment in sensitive zones are also examined, providing a holistic perspective on the technological trajectory of the field.
关键词
Robotics,artificial intelligence,internet of things (IoT),Danger Environment
报告人
Wai Yie Leong
Professor INTI International University稿件作者
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重要日期
-
会议日期
12月29日
2025
至12月31日
2025
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11月30日 2025
初稿截稿日期
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12月30日 2025
报告提交截止日期
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12月30日 2025
注册截止日期
主办单位
国际科学联合会
承办单位
扎尔卡大学
联系方式
- Miss AsianComNet
- as******@usssociety.org
历届会议
-
2024年10月24日 泰国 Bangkok
2024亚洲通讯与网络会议
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