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检索条件"机构=Humanoid Robots Lab and the Center for Robotics"
22 条 记 录,以下是1-10 订阅
排序:
Evaluating Robot Influence on Pedestrian Behavior Models for Crowd Simulation and Benchmarking  16th
Evaluating Robot Influence on Pedestrian Behavior Models fo...
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16th International Conference on Social robotics, ICSR + AI 2024
作者: Agrawal, Subham Dengler, Nils Bennewitz, Maren Humanoid Robots Lab University of Bonn Bonn Germany The Lamarr Institute Bonn Germany Center for Robotics Bonn Germany
The presence of robots amongst pedestrians affects them causing deviation to their trajectories. Existing methods suffer from the limitation of not being able to objectively measure this deviation in unseen cases. In ... 详细信息
来源: 评论
Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning  23
Compact Multi-Object Placement Using Adjacency-Aware Reinfor...
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23rd IEEE-RAS International Conference on humanoid robots, humanoids 2024
作者: Kreis, Benedikt Dengler, Nils Heuvel, Jorge De Menon, Rohit Perur, Hamsa Bennewitz, Maren University of Bonn Humanoid Robots Lab Germany University of Bonn Center for Robotics Germany Lamarr Institute for Ml and Ai Bonn Germany
Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbors is particularly challenging. To av... 详细信息
来源: 评论
EvidMTL: Evidential Multi-Task Learning for Uncertainty-Aware Semantic Surface Mapping from Monocular RGB Images
arXiv
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arXiv 2025年
作者: Menon, Rohit Dengler, Nils Pan, Sicong Chenchani, Gokul Krishna Bennewitz, Maren Humanoid Robots Lab Center for Robotics University of Bonn Germany Lamarr Institute Bonn Germany
For scene understanding in unstructured environments, an accurate and uncertainty-aware metric-semantic mapping is required to enable informed action selection by autonomous systems. Existing mapping methods often suf... 详细信息
来源: 评论
Evaluating Robot Influence on Pedestrian Behavior Models for Crowd Simulation and Benchmarking
arXiv
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arXiv 2024年
作者: Agrawal, Subham Dengler, Nils Bennewitz, Maren Humanoid Robots Lab University of Bonn Germany The Lamarr Institute Bonn Germany Center for Robotics Bonn Germany
The presence of robots amongst pedestrians affects them causing deviation to their trajectories. Existing methods suffer from the limitation of not being able to objectively measure this deviation in unseen cases. In ... 详细信息
来源: 评论
Pedestrians and robots: A Novel Dataset for Learning Distinct Social Navigation Forces
arXiv
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arXiv 2025年
作者: Agrawal, Subham Ostermann-Myrau, Nico Dengler, Nils Bennewitz, Maren Humanoid Robots Lab University of Bonn Germany Lamarr Institute for Machine Learning and Artificial Intelligence The Center for Robotics Bonn Germany
The increasing use of robots in human-centric public spaces such as shopping malls, sidewalks, and hospitals, requires understanding of how pedestrians respond to their presence. However, existing research lacks compr... 详细信息
来源: 评论
Learning Adaptive Multi-Objective Robot Navigation Incorporating Demonstrations
arXiv
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arXiv 2024年
作者: Heuvel, Jorge de Sethuraman, Tharun Bennewitz, Maren The Humanoid Robots Lab University of Bonn Germany The Lamarr Institute for Machine Learning and Artificial Intelligence The Center for Robotics Bonn Germany
Preference-aligned robot navigation in human environments is typically achieved through learning-based approaches, utilizing user feedback or demonstrations for personalization. However, personal preferences are subje... 详细信息
来源: 评论
EnQuery: Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation
arXiv
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arXiv 2024年
作者: de Heuvel, Jorge Seiler, Florian Bennewitz, Maren The Humanoid Robots Lab The Center for Robotics The University of Bonn Germany The Lamarr Institute for Machine Learning and Artificial Intelligence Bonn Germany
To align mobile robot navigation policies with user preferences through reinforcement learning from human feedback (RLHF), reliable and behavior-diverse user queries are required. However, deterministic policies fail ... 详细信息
来源: 评论
EnQuery: Ensemble Policies for Diverse Query-Generation in Preference Alignment of Robot Navigation
EnQuery: Ensemble Policies for Diverse Query-Generation in P...
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IEEE International Workshop on Robot and Human Communication (ROMAN)
作者: Jorge De Heuvel Florian Seiler Maren Bennewitz Humanoid Robots Lab and the Center for Robotics University of Bonn Germany Lamarr Institute for Machine Learning and Artificial Intelligence Bonn Germany
To align mobile robot navigation policies with user preferences through reinforcement learning from human feedback (RLHF), reliable and behavior-diverse user queries are required. However, deterministic policies fail ... 详细信息
来源: 评论
Compact Multi-Object Placement Using Adjacency-Aware Reinforcement Learning
arXiv
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arXiv 2024年
作者: Kreis, Benedikt Dengler, Nils de Heuvel, Jorge Menon, Rohit Perur, Hamsa Bennewitz, Maren Humanoid Robots Lab University of Bonn Germany Center for Robotics University of Bonn Germany Lamarr Institute for ML and AI Bonn Germany
Close and precise placement of irregularly shaped objects requires a skilled robotic system. The manipulation of objects that have sensitive top surfaces and a fixed set of neighbors is particularly challenging. To av... 详细信息
来源: 评论
The Impact of VR and 2D Interfaces on Human Feedback in Preference-Based Robot Learning
arXiv
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arXiv 2025年
作者: de Heuvel, Jorge Marta, Daniel Holk, Simon Leite, Iolanda Bennewitz, Maren Humanoid Robots Lab University of Bonn Germany Division of Robotics Perception and Learning KTH Royal Institute of Technology Sweden Robotics Institute Germany The Lamarr Institute Bonn Germany Center for Robotics University of Bonn Germany
Aligning robot navigation with human preferences is essential for ensuring comfortable and predictable robot movement in shared spaces, facilitating seamless human-robot coexistence. While preference-based learning me... 详细信息
来源: 评论