CommentsAccepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'18) - Workshop on Robotic Co-workers 4.0: Human Safety and Comfort in Human-Robot Interactive Social Environments
Comments7 pages, 4 figures, 3 tables and this paper was accepted at Multi-Agent Robotic Systems: Real-World Collaboration and Interaction a workshop at the international conference of robotics and automation (ICRA 2026)
A Photorealistic Dataset and Vision-Based Algorithm for Anomaly Detection During Proximity Operations in Lunar Orbit
面向月球轨道近距操作的逼真数据集和基于视觉的异常检测算法
Selina Leveugle, Chang Won Lee, Svetlana Stolpner, Chris Langley, Paul Grouchy, Steven Waslander, Jonathan Kelly
机构
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Space and Terrestrial Autonomous Robotic Systems (STARS) Laboratory at the University of Toronto Institute for Aerospace Studies (UTIAS)(多伦多大学航空航天研究所(UTIAS)空间与地面自主机器人系统实验室)
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Toronto Robotics and AI Laboratory (TRAIL) at the University of Toronto Institute for Aerospace Studies (UTIAS)(多伦多大学航空航天研究所(UTIAS)多伦多机器人与人工智能实验室)
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MDA Space Inc.(MDA航天公司)
CommentsIn IEEE Robotics and Automation Letters (RA-L) and presented at the IEEE International Conference on Robotics and Automation (ICRA'26), 1-5 Jun. 2026, Vienna, Austria
Journal refIEEE Robotics and Automation Letters (RA-L), Vol. 11, No. 3, pp. 2418 - 2415, Mar. 2026
IMA-Catcher: An IMpact-Aware Nonprehensile Catching Framework based on Combined Optimization and Learning
Francesco Tassi, Jianzhuang Zhao, Gustavo J. G. Lahr, Luna Gava, Marco Monforte, Arren Glover, Chiara Bartolozzi, Arash Ajoudani
机构
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Human-Robot Interfaces and Interaction Lab., Istituto Italiano di Tecnologia, Italy(人机交互实验室,意大利理工学院)
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Event-Driven Perception for Robotics Lab, Istituto Italiano di Tecnologia, Italy(事件驱动感知机器人实验室,意大利理工学院)
CommentsAccepted to IEEE International Conference on Robotics and Automation (ICRA'24), Yokohama, Japan, May 13-17, 2024. arXiv revision includes additional ablation studies results
Journal refProceedings of the IEEE International Conference on Robotics and Automation (ICRA), 2024, pp. 14708-14715
A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing
Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Michał Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi
Comments8 pages, 10 Figures, 3 Tables, This paper has been accepted for publication in the IEEE Robotics and Automation Letters (RAL). Copyright 2023 IEEE
Journal refIEEE Robotics and Automation Letters (Volume: 9, Issue: 2, February 2024)
CommentsGuanrui Li and Alex Tunchez contributed equally to this paper. This paper has been accepted to the 2022 IEEE International Conference on Robotics and Automation. Please cite this paper with the standard IEEE Conference format. Link to the Video: https://youtu.be/-5cIsIM5G7M
Journal refInternational Conference on Robotics and Automation (ICRA), 2022
CommentsFor associated web page, see \url{https://sites.google.com/nvidia.com/defgraspsim}. To be published in the IEEE Robotics and Automation Letters (RA-L) special issue on Robotic Handling of Deformable Objects, 2022. arXiv admin note: substantial text overlap with arXiv:2107.05778