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检索条件"机构=Institute of Machine Learning and Robotics"
322 条 记 录,以下是1-10 订阅
Person Segmentation and Action Classification for Multi-Channel Hemisphere Field of View LiDAR Sensors
Person Segmentation and Action Classification for Multi-Chan...
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2025 IEEE/SICE International Symposium on System Integration, SII 2025
作者: Seliunina, Svetlana Otelepko, Artem Memmesheimer, Raphael Behnke, Sven University of Bonn Autonomous Intelligent Systems Group Computer Science Institute VI - Intelligent Systems and Robotics Lamarr Institute for Machine Learning and Artificial Intelligence Center for Robotics Germany
Robots need to perceive persons in their surroundings for safety and to interact with them. In this paper, we present a person segmentation and action classification approach that operates on 3D scans of hemisphere fi... 详细信息
来源: 评论
A Comparison of Prompt Engineering Techniques for Task Planning and Execution in Service robotics  23
A Comparison of Prompt Engineering Techniques for Task Plann...
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23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024
作者: Bode, Jonas Pätzold, Bastian Memmesheimer, Raphael Behnke, Sven Computer Science Institute Vi - Intelligent Systems and Robotics Lamarr Institute for Machine Learning and Artificial Intelligence Center for Robotics University of Bonn Autonomous Intelligent Systems group Germany
Recent advances in Large Language Models (LLMs) have been instrumental in autonomous robot control and human-robot interaction by leveraging their vast general knowledge and capabilities to understand and reason acros... 详细信息
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Epipolar Attention Field Transformers for Bird's Eye View Semantic Segmentation
Epipolar Attention Field Transformers for Bird's Eye View Se...
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2025 IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025
作者: Witte, Christian Behley, Jens Stachniss, Cyrill Raaijmakers, Marvin Cariad Se Germany University of Bonn Center for Robotics Germany Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Spatial understanding of the semantics of the surroundings is a key capability needed by autonomous cars to enable safe driving decisions. Recently, purely vision-based solutions have gained increasing research intere... 详细信息
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RoboCup@Home 2024 OPL Winner NimbRo: Anthropomorphic Service Robots Using Foundation Models for Perception and Planning
RoboCup@Home 2024 OPL Winner NimbRo: Anthropomorphic Service...
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27th RoboCup International Symposium, 2024
作者: Memmesheimer, Raphael Nogga, Jan Pätzold, Bastian Kruzhkov, Evgenii Bultmann, Simon Schreiber, Michael Bode, Jonas Karacora, Bertan Park, Juhui Savinykh, Alena Behnke, Sven Autonomous Intelligent Systems Computer Science Institute VI Lamarr Institute for Machine Learning and Artificial Intelligence and Center for Robotics University of Bonn Bonn Germany
We present the approaches and contributions of the winning team NimbRo@Home at the RoboCup@Home 2024 competition in the Open Platform League held in Eindhoven, NL. Further, we describe our hardware setup and give an o... 详细信息
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Sampling-based multi-dimensional recalibration  24
Sampling-based multi-dimensional recalibration
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Proceedings of the 41st International Conference on machine learning
作者: Youngseog Chung Ian Char Jeff Schneider Machine Learning Department Machine Learning Department and Robotics Institute Carnegie Mellon University Pittsburgh PA
Calibration of probabilistic forecasts in the regression setting has been widely studied in the single dimensional case, where the output variables are assumed to be univariate. In many problem settings, however, the ...
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HyenaPixel: Global Image Context with Convolutions  27
HyenaPixel: Global Image Context with Convolutions
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27th European Conference on Artificial Intelligence, ECAI 2024
作者: Spravil, Julian Houben, Sebastian Behnke, Sven Fraunhofer IAIS Germany University of Applied Sciences Bonn-Rhein-Sieg Germany University of Bonn Computer Science Institute VI Center for Robotics Germany Lamarr Institute for Machine Learning and Artificial Intelligence Germany
In computer vision, a larger effective receptive field (ERF) is associated with better performance. While attention natively supports global context, its quadratic complexity limits its applicability to tasks that ben... 详细信息
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Steering Dialogue Dynamics for Robustness against Multi-turn Jailbreaking Attacks
arXiv
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arXiv 2025年
作者: Hu, Hanjiang Robey, Alexander Liu, Changliu Robotics Institute Machine Learning Department Carnegie Mellon University United States Machine Learning Department Carnegie Mellon University United States Robotics Institute Carnegie Mellon University United States
Large language models (LLMs) are highly vulnerable to jailbreaking attacks, wherein adversarial prompts are designed to elicit harmful responses. While existing defenses effectively mitigate single-turn attacks by det... 详细信息
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WEDGE: A multi-weather autonomous driving dataset built from generative vision-language models
WEDGE: A multi-weather autonomous driving dataset built from...
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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023
作者: Marathe, Aboli Ramanan, Deva Walambe, Rahee Kotecha, Ketan Carnegie Mellon University Machine Learning Department PA United States Carnegie Mellon University Robotics Institute PA United States India India
The open road poses many challenges to autonomous perception, including poor visibility from extreme weather conditions. Models trained on good-weather datasets frequently fail at detection in these out-of-distributio... 详细信息
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PlaySlot: learning Inverse Latent Dynamics for Controllable Object-Centric Video Prediction and Planning
arXiv
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arXiv 2025年
作者: Villar-Corrales, Angel Behnke, Sven Computer Science Institute VI – Intelligent Systems and Robotics Center for Robotics The Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Predicting future scene representations is a crucial task for enabling robots to understand and interact with the environment. However, most existing methods rely on video sequences and simulations with precise action... 详细信息
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3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit Neural Representation
3D LiDAR Mapping in Dynamic Environments Using a 4D Implicit...
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Conference on Computer Vision and Pattern Recognition (CVPR)
作者: Xingguang Zhong Yue Pan Cyrill Stachniss Jens Behley Center for Robotics University of Bonn Lamarr Institute for Machine Learning and Artificial Intelligence
Building accurate maps is a key building block to enable reliable localization, planning, and navigation of autonomous vehicles. We propose a novel approach for building accurate maps of dynamic environments utilizing... 详细信息
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