咨询与建议

限定检索结果

文献类型

  • 86 篇 会议
  • 62 篇 期刊文献

馆藏范围

  • 148 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 90 篇 工学
    • 63 篇 计算机科学与技术...
    • 59 篇 软件工程
    • 47 篇 控制科学与工程
    • 15 篇 机械工程
    • 14 篇 仪器科学与技术
    • 11 篇 生物工程
    • 6 篇 信息与通信工程
    • 6 篇 生物医学工程(可授...
    • 4 篇 力学(可授工学、理...
    • 3 篇 电气工程
    • 2 篇 建筑学
    • 2 篇 土木工程
    • 2 篇 化学工程与技术
    • 2 篇 交通运输工程
    • 2 篇 航空宇航科学与技...
    • 2 篇 农业工程
    • 2 篇 安全科学与工程
  • 46 篇 理学
    • 33 篇 数学
    • 13 篇 统计学(可授理学、...
    • 11 篇 生物学
    • 7 篇 系统科学
    • 6 篇 物理学
    • 3 篇 化学
  • 16 篇 管理学
    • 8 篇 管理科学与工程(可...
    • 8 篇 图书情报与档案管...
    • 3 篇 工商管理
  • 8 篇 法学
    • 8 篇 社会学
  • 3 篇 教育学
    • 3 篇 教育学
  • 3 篇 农学
    • 3 篇 作物学
  • 2 篇 医学
    • 2 篇 临床医学

主题

  • 15 篇 planning
  • 10 篇 robots
  • 10 篇 trajectory
  • 9 篇 reinforcement le...
  • 7 篇 robot sensing sy...
  • 6 篇 motion planning
  • 6 篇 optimization
  • 5 篇 navigation
  • 5 篇 visualization
  • 5 篇 uncertainty
  • 5 篇 robot kinematics
  • 5 篇 training
  • 4 篇 grasping
  • 4 篇 task analysis
  • 4 篇 three-dimensiona...
  • 4 篇 automation
  • 4 篇 adversarial mach...
  • 4 篇 computational mo...
  • 4 篇 kinematics
  • 3 篇 conferences

机构

  • 44 篇 machine learning...
  • 11 篇 machine learning...
  • 10 篇 learning and int...
  • 8 篇 learning and int...
  • 6 篇 max planck insti...
  • 4 篇 humanoid robots ...
  • 4 篇 max planck insti...
  • 4 篇 max planck insti...
  • 3 篇 machine learning...
  • 3 篇 machine learning...
  • 3 篇 max-planck insti...
  • 3 篇 lamarr institute...
  • 3 篇 munich institute...
  • 3 篇 technische unive...
  • 3 篇 machine learning...
  • 3 篇 robotics institu...
  • 2 篇 technical univer...
  • 2 篇 barcelona instit...
  • 2 篇 lamarr institute...
  • 2 篇 university of to...

作者

  • 45 篇 toussaint marc
  • 31 篇 marc toussaint
  • 12 篇 mainprice jim
  • 9 篇 bennewitz maren
  • 7 篇 oguz ozgur s.
  • 7 篇 driess danny
  • 7 篇 danny driess
  • 6 篇 schoellig angela...
  • 6 篇 kratzer philipp
  • 5 篇 jim mainprice
  • 5 篇 vien ngo anh
  • 5 篇 hartmann valenti...
  • 4 篇 orthey andreas
  • 4 篇 zhou siqi
  • 4 篇 ozgur s. oguz
  • 4 篇 pan sicong
  • 4 篇 angela p. schoel...
  • 4 篇 oh yoojin
  • 4 篇 dawood murad
  • 4 篇 englert peter

语言

  • 143 篇 英文
  • 5 篇 其他
检索条件"机构=Machine Learning and Robotics Lab University of Stuttgart"
148 条 记 录,以下是91-100 订阅
排序:
Terrain classification with conditional random fields on fused 3D LIDAR and camera data
Terrain classification with conditional random fields on fus...
收藏 引用
European Conference on Mobile Robots (ECMR)
作者: Stefan Laible Yasir Niaz Khan Andreas Zell Chair of Cognitive Systems University of Tübingen Tübingen Germany Department of Machine Learning and Robotics University of Stuttgart Germany
For a mobile robot to navigate safely and efficiently in an outdoor environment, it has to recognize its surrounding terrain. Our robot is equipped with a low-resolution 3D LIDAR and a color camera. The data from both... 详细信息
来源: 评论
Hierarchical human-motion prediction and logic-geometric programming for minimal interference human-robot tasks
arXiv
收藏 引用
arXiv 2021年
作者: Le, An T. Kratzer, Philipp Hagenmayer, Simon Toussaint, Marc Mainprice, Jim Machine Learning and Robotics Lab University of Stuttgart Germany Max Planck Institute for Intelligent Systems IS-MPI Tübingen/Stuttgart Germany Technische Universität Berlin TUB Germany
In this paper, we tackle the problem of human-robot coordination in sequences of manipulation tasks. Our approach integrates hierarchical human motion prediction with Task and Motion Planning (TAMP). We first devise a... 详细信息
来源: 评论
Agent self-assessment: Determining policy quality without execution
Agent self-assessment: Determining policy quality without ex...
收藏 引用
IEEE Symposium on Adaptive Dynamic Programming and Reinforcement learning
作者: Hans, Alexander Duell, Siegmund Udluft, Steffen Neuroinformatics and Cognitive Robotics Lab Ilmenau University of Technology Ilmenau Germany Machine Learning Group Berlin Institute of Technology Berlin Germany Intelligent Systems and Control Siemens AG Corporate Technology Munich Munich Germany
With the development of data-efficient reinforcement learning (RL) methods, a promising data-driven solution for optimal control of complex technical systems has become available. For the application of RL to a techni... 详细信息
来源: 评论
Probabilistic Recurrent State-Space Models
arXiv
收藏 引用
arXiv 2018年
作者: Doerr, Andreas Daniel, Christian Schiegg, Martin Nguyen-Tuong, Duy Schaal, Stefan Toussaint, Marc Trimpe, Sebastian Bosch Center for Artificial Intelligence Renningen Germany Max Planck Institute for Intelligent Systems Stuttgart/Tübingen Germany Computational Learning and Motor Control Lab University of Southern California United States Machine Learning and Robotics Lab University of Stuttgart Germany
State-space models (SSMs) are a highly expressive model class for learning patterns in time series data and for system identification. Deterministic versions of SSMs (e.g. LSTMs) proved extremely successful in modelin... 详细信息
来源: 评论
Vectorized conditional neural fields: a framework for solving time-dependent parametric partial differential equations  24
Vectorized conditional neural fields: a framework for solvin...
收藏 引用
Proceedings of the 41st International Conference on machine learning
作者: Jan Hagnberger Marimuthu Kalimuthu Daniel Musekamp Mathias Niepert Machine Learning and Simulation Lab Institute for Artificial Intelligence University of Stuttgart Stuttgart Germany Machine Learning and Simulation Lab Institute for Artificial Intelligence University of Stuttgart Stuttgart Germany and Stuttgart Center for Simulation Science (SimTech) and International Max Planck Research School for Intelligent Systems (IMPRS-IS) Machine Learning and Simulation Lab Institute for Artificial Intelligence University of Stuttgart Stuttgart Germany and International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Transformer models are increasingly used for solving Partial Differential Equations (PDEs). Several adaptations have been proposed, all of which suffer from the typical problems of Transformers, such as quadratic memo...
来源: 评论
A system for traded control teleoperation of manipulation tasks using intent prediction from hand gestures
arXiv
收藏 引用
arXiv 2021年
作者: Oh, Yoojin Schäfer, Tim Rüther, Benedikt Toussaint, Marc Mainprice, Jim Machine Learning and Robotics Lab IPVS University of Stuttgart Germany Max Planck Institute for Intelligent Systems MPI-IS Tübingen/Stuttgart Germany Technische Universität Berlin TUB Germany
This paper presents a teleoperation system that includes robot perception and intent prediction from hand gestures. The perception module identifies the objects present in the robot workspace and the intent prediction... 详细信息
来源: 评论
GraspME - Grasp manifold estimator
arXiv
收藏 引用
arXiv 2021年
作者: Hager, Janik Bauer, Ruben Toussaint, Marc Mainprice, Jim Machine Learning and Robotics Lab IPVS University of Stuttgart Germany Max Planck Institute for Intelligent Systems IS-MPI Tübingen/Stuttgart Germany Technische Universität Berlin TUB Germany
In this paper, we introduce a Grasp Manifold Estimator (GraspME) to detect grasp affordances for objects directly in 2D camera images. To perform manipulation tasks autonomously it is crucial for robots to have such g... 详细信息
来源: 评论
Temperature-Aware Memory Mapping and Active Cooling of Neural Processing Units
Temperature-Aware Memory Mapping and Active Cooling of Neura...
收藏 引用
International Symposium on Low Power Electronics and Design (ISLPED)
作者: Vahidreza Moghaddas Hammam Kattan Tim Bücher Mikail Yayla Jian-Jia Chen Hussam Amrouch TU Dortmund University University of Stuttgart Lamarr Institute for Machine Learning and Artificial Intelligences AI Processor Design Technical University of Munich Munich Institute of Robotics and Machine Intelligence
Neural processing units (NPUs) have become indispensable for meeting the high computational demands of deep neural networks (DNNs). They provide a very efficient solution, thanks to having a huge MAC array that enable...
来源: 评论
Safe Multi-Agent Reinforcement learning for Behavior-Based Cooperative Navigation
arXiv
收藏 引用
arXiv 2023年
作者: Dawood, Murad Pan, Sicong Dengler, Nils Zhou, Siqi Schoellig, Angela P. Bennewitz, Maren The Humanoid Robots Lab University of Bonn Germany The Lamarr Institute for Machine Learning and Artificial Intelligence and the Center for Robotics Bonn Germany The Learning Systems and Robotics lab The Technical University of Munich Germany
In this paper, we address the problem of behavior-based cooperative navigation of mobile robots using safe multi-agent reinforcement learning (MARL). Our work is the first to focus on cooperative navigation without in... 详细信息
来源: 评论
An efficient minimum vocabulary construction algorithm for language modeling  12
收藏 引用
25th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2012
作者: Lin, Sina Qin, Zengchang Huang, Zehua Wan, Tao Intelligent Computing and Machine Learning Lab. School of ASEE Beihang University Beijing China School of Advanced Engineering Beihang University China Robotics Institute Carnegie Mellon University Pittsburgh United States School of Medicine Boston University Boston United States
In learning a new word by a dictionary, we first need to know a set of "basic words" which are frequently appeared in word definitions. It often happens that you cannot understand the word you looked up beca... 详细信息
来源: 评论