IEEE Robotics & Automation Magazine最新文献_第10页

An Unmanned Surface Vehicle for the Launch and Recovery of Autonomous Underwater Vehicles: A Novel Design 用于自主水下航行器发射和回收的无人水面航行器：新颖的设计

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2024-01-11 DOI: 10.1109/mra.2023.3348302

Yueying Wang, Weixiang Zhou, Minrui Fei, Huaicheng Yan

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Marine Sediment Sampling With an Underwater Legged Robot: A User-Driven Sampling Approach for Microplastic Analysis 利用水下支腿机器人进行海洋沉积物采样：用于微塑料分析的用户驱动采样方法

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2024-01-10 DOI: 10.1109/mra.2023.3341288

Anna Astolfi, Mrudul Chellapurath, Giacomo Picardi, Martina Capriotti, Kayla Mladinich, Cecilia Laschi, Sergio Stefanni, Marcello Calisti

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RoboTwin: A Platform to Study Hydrodynamic Interactions in Schooling Fish 机器人孪生兄弟：研究求学鱼类水动力相互作用的平台

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2024-01-10 DOI: 10.1109/mra.2023.3348303

Liang Li, Li-Ming Chao, Siyuan Wang, Oliver Deussen, Iain D. Couzin

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Digital Robot Judge: Building a Task-centric Performance Database of Real-World Manipulation With Electronic Task Boards 数字机器人法官：利用电子任务板建立以任务为中心的真实世界操纵性能数据库

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2024-01-01 DOI: 10.1109/mra.2023.3336473

Peter So, Andriy Sarabakha, Fan Wu, Utku Culha, Fares J. Abu-Dakka, Sami Haddadin

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Uncertainty-Aware Trajectory Planning: Using Uncertainty Quantification and Propagation in Traversability Prediction of Planetary Rovers 不确定性感知轨迹规划：将不确定性量化和传播用于行星探测器的可穿越性预测

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2024-01-01 DOI: 10.1109/mra.2023.3341289

Reiya Takemura, Genya Ishigami

引用次数: 0

Terrain-Adaptive Locomotion Control for an Underwater Hexapod Robot: Sensing Leg–Terrain Interaction With Proprioceptive Sensors 水下六足机器人的地形适应运动控制：用感觉传感器感知腿部与地形的相互作用

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2023-12-22 DOI: 10.1109/mra.2023.3341247

Lepeng Chen, Rongxin Cui, Weisheng Yan, Hui Xu, Shouxu Zhang, Haitao Yu

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引用次数: 0

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions] 高度受限空间中的自主地面导航：从 2023 年 ICRA 第二届 BARN 挑战赛中汲取的经验教训 [竞赛］

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2023-12-12 DOI: 10.1109/mra.2023.3322920

Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, R么mulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, Jose Luis Blanco-Claraco, Shravan Somashekara Rai

{"title":"Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]","authors":"Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, R么mulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, Jose Luis Blanco-Claraco, Shravan Somashekara Rai","doi":"10.1109/mra.2023.3322920","DOIUrl":"https://doi.org/10.1109/mra.2023.3322920","url":null,"abstract":"The second Benchmark Autonomous Robot Navigation (BARN) Challenge took place at the 2023 IEEE International Conference on Robotics and Automation (ICRA 2023) in London, U.K., and continued to evaluate the performance of state-of-the-art autonomous ground navigation systems in highly constrained environments. Compared to the first BARN Challenge at ICRA 2022 in Philadelphia, the competition has grown significantly in size, doubling the numbers of participants in both the simulation qualifier and physical finals: 10 teams from all over the world participated in the qualifying simulation competition, six of which were invited to compete with each other in three physical obstacle courses at the conference center in London. Three teams won the challenge by navigating a Clearpath Jackal robot from a predefined start to a goal with the shortest amount of time without colliding with any obstacle. The competition results, compared to those of last year, suggest that the teams are making progress toward more robust and efficient ground navigation systems that work out of the box in many obstacle environments. However, a significant amount of fine-tuning is still needed on site to cater to different difficult navigation scenarios. Furthermore, challenges still remain for many teams when facing extremely cluttered obstacles and increasing navigation speed. In this article, we discuss the challenge, the approaches used by the three winning teams, and lessons learned to direct future research.","PeriodicalId":55019,"journal":{"name":"IEEE Robotics & Automation Magazine","volume":"29 1","pages":""},"PeriodicalIF":5.7,"publicationDate":"2023-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138685282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The Art of Wine and Its Harvesting Methods [Student’s Corner] 葡萄酒的艺术及其采摘方法 [学生天地］

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2023-12-12 DOI: 10.1109/mra.2023.3323104

Francesco Missiroli

引用次数: 0

Agriculture Is a Big Topic: How Can Robots Help? [From the Editor’s Desk] 农业是个大话题：机器人能提供哪些帮助？[编者的话］

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2023-12-12 DOI: 10.1109/mra.2023.3323157

Yi Guo

引用次数: 0

The 40th International Conference on Robotics and Automation (ICRA) 2023: Embracing the Future: Making Robots for Humans [Conference Highlights] 第 40 届国际机器人与自动化大会（ICRA）2023：拥抱未来：让机器人为人类服务 [会议亮点］

IF 5.7 3区计算机科学

IEEE Robotics & Automation Magazine Pub Date : 2023-12-12 DOI: 10.1109/mra.2023.3322892

Kaspar Althoefer

引用次数: 0