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检索条件"机构=Institute of Machine Learning and Robotics"
325 条 记 录,以下是121-130 订阅
排序:
Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation
arXiv
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arXiv 2023年
作者: Gervet, Theophile Xian, Zhou Gkanatsios, Nikolaos Fragkiadaki, Katerina Machine Learning Department School of Computer Science Carnegie Mellon University United States Robotics Institute School of Computer Science Carnegie Mellon University United States
3D perceptual representations are well suited for robot manipulation as they easily encode occlusions and simplify spatial reasoning. Many manipulation tasks require high spatial precision in end-effector pose predict... 详细信息
来源: 评论
Tree Instance Segmentation and Traits Estimation for Forestry Environments Exploiting LiDAR Data Collected by Mobile Robots
Tree Instance Segmentation and Traits Estimation for Forestr...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Meher V. R. Malladi Tiziano Guadagnino Luca Lobefaro Matias Mattamala Holger Griess Janine Schweier Nived Chebrolu Maurice Fallon Jens Behley Cyrill Stachniss Center for Robotics University of Bonn Germany University of Oxford UK Swiss Federal Institute for Forest Snow and Landscape Research Switzerland Department of Engineering Science University of Oxford UK Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Forests play a crucial role in our ecosystems, functioning as carbon sinks, climate stabilizers, biodiversity hubs, and sources of wood. By the very nature of their scale, monitoring and maintaining forests is a chall... 详细信息
来源: 评论
Doppler-SLAM: Doppler-Aided Radar-Inertial and LiDAR-Inertial Simultaneous Localization and Mapping
arXiv
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arXiv 2025年
作者: Wang, Dong Haag, Hannes Herraez, Daniel Casado May, Stefan Stachniss, Cyrill Nüchter, Andreas Informatics XVII – Robotics Julius-Maximilians-Universität Würzburg Germany Faculty of Electrical Engineering Precision Engineering Information Technology Nuremberg Institute of Technology Georg Simon Ohm Germany CARIAD SE University of Bonn Germany Center for Robotics University of Bonn Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Simultaneous localization and mapping (SLAM) is a critical capability for autonomous systems. Traditional SLAM approaches, which often rely on visual or LiDAR sensors, face significant challenges in adverse conditions... 详细信息
来源: 评论
Kernelized Offline Contextual Dueling Bandits
arXiv
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arXiv 2023年
作者: Mehta, Viraj Neopane, Ojash Das, Vikramjeet Lin, Sen Schneider, Jeff Neiswanger, Willie Robotics Institute Carnegie Mellon University United States Machine Learning Department Carnegie Mellon University United States Department of Computer Science Stanford University United States
Preference-based feedback is important for many applications where direct evaluation of a reward function is not feasible. A notable recent example arises in reinforcement learning from human feedback on large languag... 详细信息
来源: 评论
BATS: Best Action Trajectory Stitching
arXiv
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arXiv 2022年
作者: Char, Ian Mehta, Viraj Villaflor, Adam Dolan, John M. Schneider, Jeff Department of Machine Learning Carnegie Mellon University United States Robotics Institute Carnegie Mellon University United States
The problem of offline reinforcement learning focuses on learning a good policy from a log of environment interactions. Past efforts for developing algorithms in this area have revolved around introducing constraints ... 详细信息
来源: 评论
Sim2real Transfer learning for Point Cloud Segmentation: An Industrial Application Case on Autonomous Disassembly
arXiv
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arXiv 2023年
作者: Wu, Chengzhi Bi, Xuelei Pfrommer, Julius Cebulla, Alexander Mangold, Simon Beyerer, Jürgen Institute for Anthropomatics and Robotics Karlsruhe Institute of Technology Germany Fraunhofer Institute of Optronics System Technologies and Image Exploitation IOSB Germany Fraunhofer Center for Machine Learning Germany wbk Institute of Production Science Karlsruhe Institute of Technology Germany
On robotics computer vision tasks, generating and annotating large amounts of data from real-world for the use of deep learning-based approaches is often difficult or even impossible. A common strategy for solving thi... 详细信息
来源: 评论
Morphological symmetries in robotics
arXiv
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arXiv 2024年
作者: Apraez, Daniel Ordoñez Turrisi, Giulio Kostic, Vladimir Martin, Mario Agudo, Antonio Moreno-Noguer, Francesc Pontil, Massimiliano Semini, Claudio Mastalli, Carlos Italy Computational Statistics and Machine Learning IIT Italy Institut de Robòtica i Informàtica Industrial CSIC-UPC Spain Robot Motor Intelligence – Heriot-Watt University United Kingdom IHMC Robotics Florida Institute for Human & Machine Cognition United States
We present a comprehensive framework for studying and leveraging morphological symmetries in robotic systems. These are intrinsic properties of the robot’s morphology, frequently observed in animal biology and roboti... 详细信息
来源: 评论
CITR: A Coordinate-Invariant Task Representation for Robotic Manipulation
CITR: A Coordinate-Invariant Task Representation for Robotic...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Peter So Rafael I. Cabral Muchacho Robin Jeanne Kirschner Abdalla Swikir Luis Figueredo Fares J. Abu-Dakka Sami Haddadin Munich Institute of Robotics and Machine Intelligence TUM Germany Division of Robotics Perception and Learning KTH Royal Institute of Technology Sweden Department of Electrical and Electronic Engineering Omar Al-Mukhtar University (OMU) Libya School of Computer Science University of Nottingham UK Electronic and Informatics Department Faculty of Engineering Mondragon Unibertsitatea Spain
The basis for robotics skill learning is an adequate representation of manipulation tasks based on their physical properties. As manipulation tasks are inherently invariant to the choice of reference frame, an ideal t... 详细信息
来源: 评论
Radar-Only Odometry and Mapping for Autonomous Vehicles
Radar-Only Odometry and Mapping for Autonomous Vehicles
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IEEE International Conference on robotics and Automation (ICRA)
作者: Daniel Casado Herraez Matthias Zeller Le Chang Ignacio Vizzo Michael Heidingsfeld Cyrill Stachniss CARIAD SE and With the University of Bonn Germany CARIAD SE and With the University of Stuttgart Germany Dexory UK University of Bonn is With CARIAD SE Germany Center for Robotics University of Bonn and With the Lamarr Institute for Machine Learning and Artificial Intelligence Germany
Odometry and mapping play a pivotal role in the navigation of autonomous vehicles. In this paper, we address the problem of pose estimation and map creation using only radar sensors. We focus on two odometry estimatio... 详细信息
来源: 评论
Gromov-Hausdorff Distances for Comparing Product Manifolds of Model Spaces
arXiv
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arXiv 2023年
作者: de Ocáriz Borde, Haitz Sáez Arroyo, Álvaro López, Ismael Morales Posner, Ingmar Dong, Xiaowen Oxford Robotics Institute University of Oxford United Kingdom Oxford-Man Institute University of Oxford United Kingdom Mathematical Institute University of Oxford United Kingdom Machine Learning Research Group University of Oxford United Kingdom
Recent studies propose enhancing machine learning models by aligning the geometric characteristics of the latent space with the underlying data structure. Instead of relying solely on Euclidean space, researchers have... 详细信息
来源: 评论