咨询与建议

限定检索结果

文献类型

  • 212 篇 期刊文献
  • 9 篇 会议

馆藏范围

  • 221 篇 电子文献
  • 0 种 纸本馆藏

日期分布

学科分类号

  • 221 篇 工学
    • 215 篇 控制科学与工程
    • 209 篇 电气工程
    • 13 篇 计算机科学与技术...
    • 1 篇 机械工程
    • 1 篇 信息与通信工程
    • 1 篇 软件工程
  • 6 篇 管理学
    • 6 篇 管理科学与工程(可...
  • 1 篇 医学
    • 1 篇 基础医学(可授医学...

主题

  • 221 篇 deep learning in...
  • 23 篇 visual learning
  • 20 篇 perception for g...
  • 19 篇 task analysis
  • 18 篇 motion and path ...
  • 18 篇 localization
  • 18 篇 computer vision ...
  • 16 篇 visual-based nav...
  • 16 篇 robots
  • 15 篇 object detection
  • 14 篇 segmentation and...
  • 14 篇 semantic scene u...
  • 12 篇 computer vision ...
  • 12 篇 training
  • 11 篇 learning from de...
  • 11 篇 force and tactil...
  • 11 篇 learning and ada...
  • 11 篇 slam
  • 10 篇 grasping
  • 9 篇 robot sensing sy...

机构

  • 6 篇 hong kong univ s...
  • 5 篇 univ michigan de...
  • 5 篇 georgia inst tec...
  • 5 篇 univ perugia dep...
  • 4 篇 imperial coll lo...
  • 4 篇 stanford univ st...
  • 4 篇 natl univ singap...
  • 3 篇 swiss fed inst t...
  • 3 篇 univ hong kong d...
  • 3 篇 carnegie mellon ...
  • 3 篇 city univ hong k...
  • 3 篇 kth royal inst t...
  • 3 篇 univ michigan de...
  • 2 篇 seoul natl univ ...
  • 2 篇 univ adelaide sc...
  • 2 篇 georgia inst tec...
  • 2 篇 mit comp sci & a...
  • 2 篇 karlsruhe inst t...
  • 2 篇 swiss fed inst t...
  • 2 篇 carnegie mellon ...

作者

  • 8 篇 liu ming
  • 5 篇 costante gabriel...
  • 5 篇 yang guang-zhong
  • 5 篇 bohg jeannette
  • 5 篇 calandra roberto
  • 5 篇 johnson-roberson...
  • 3 篇 kumar vijay
  • 3 篇 chen steven w.
  • 3 篇 sartoretti guill...
  • 3 篇 tai lei
  • 3 篇 rus daniela
  • 3 篇 zhou xiao-yun
  • 3 篇 pan jia
  • 3 篇 vasudevan ram
  • 3 篇 davison andrew j...
  • 3 篇 choi changhyun
  • 3 篇 folkesson john
  • 3 篇 kelly jonathan
  • 3 篇 kawai hisashi
  • 3 篇 magassouba aly

语言

  • 221 篇 英文
检索条件"主题词=deep learning in robotics and automation"
221 条 记 录,以下是71-80 订阅
排序:
SLOAM: Semantic Lidar Odometry and Mapping for Forest Inventory
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 612-619页
作者: Chen, Steven W. Nardari, Guilherme, V Lee, Elijah S. Qu, Chao Liu, Xu Romero, Roseli Ap Francelin Kumar, Vijay Univ Penn Grasp Lab Philadelphia PA 19104 USA Univ Sao Paulo Robot Learning Lab ICMC BR-13566590 Sao Carlos SP Brazil
This letter describes an end-to-end pipeline for tree diameter estimation based on semantic segmentation and lidar odometry and mapping. Accurate mapping of this type of environment is challenging since the ground and... 详细信息
来源: 评论
Interactive Gibson Benchmark: A Benchmark for Interactive Navigation in Cluttered Environments
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 713-720页
作者: Xia, Fei Shen, William B. Li, Chengshu Kasimbeg, Priya Tchapmi, Micael Edmond Toshev, Alexander Martin-Martin, Roberto Savarese, Silvio Stanford Univ SAIL Stanford CA 94305 USA Google Robot Mountain View CA 94043 USA
We present Interactive Gibson Benchmark, the first comprehensive benchmark for training and evaluating Interactive Navigation solutions. Interactive Navigation tasks are robot navigation problems where physical intera... 详细信息
来源: 评论
Distributed Proprioception of 3D Configuration in Soft, Sensorized Robots via deep learning
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 3299-3306页
作者: Truby, Ryan L. Della Santina, Cosimo Rus, Daniela MIT Comp Sci & Artificial Intelligence Lab 77 Massachusetts Ave Cambridge MA 02139 USA
Creating soft robots with sophisticated, autonomous capabilities requires these systems to possess reliable, on-line proprioception of 3D configuration through integrated soft sensors. We present a framework for predi... 详细信息
来源: 评论
Scene Compliant Trajectory Forecast With Agent-Centric Spatio-Temporal Grids
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 2816-2823页
作者: Ridel, Daniela Deo, Nachiket Wolf, Denis Trivedi, Mohan Univ Sao Paulo Mobile Robot Lab BR-13566 Sao Carlos SP Brazil Univ Calif San Diego Lab Intelligent & Safe Automobiles San Diego CA 92092 USA
Forecasting long-term human motion is a challenging task due to the non-linearity, multi-modality and inherent uncertainty in future trajectories. The underlying scene and past motion of agents can provide useful cues... 详细信息
来源: 评论
learning Fast Adaptation With Meta Strategy Optimization
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 2950-2957页
作者: Yu, Wenhao Tan, Jie Bai, Yunfei Coumans, Erwin Ha, Sehoon Google Robot Mountain View CA 94043 USA Georgia Inst Technol Atlanta GA 30332 USA
The ability to walk in new scenarios is a key milestone on the path toward real-world applications of legged robots. In this work, we introduce Meta Strategy Optimization, a meta-learning algorithm for training polici... 详细信息
来源: 评论
deepTIO: A deep Thermal-Inertial Odometry With Visual Hallucination
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 1672-1679页
作者: Saputra, Muhamad Risqi U. de Gusmao, Pedro P. B. Lu, Chris Xiaoxuan Almalioglu, Yasin Rosa, Stefano Chen, Changhao Wahlstrom, Johan Wang, Wei Markham, Andrew Trigoni, Niki Univ Oxford Dept Comp Sci Oxford OX1 3QD England
Visual odometry shows excellent performance in a wide range of environments. However, in visually-denied scenarios (e.g. heavy smoke or darkness), pose estimates degrade or even fail. Thermal cameras are commonly used... 详细信息
来源: 评论
Real Time Trajectory Prediction Using deep Conditional Generative Models
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 970-976页
作者: Gomez-Gonzalez, Sebastian Prokudin, Sergey Schoelkopf, Bernhard Peters, Jan Max Planck Intelligent Syst D-72072 Tubingen Germany Tech Univ Darmstadt D-64289 Darmstadt Germany
Data driven methods for time series forecasting that quantify uncertainty open new important possibilities for robot tasks with hard real time constraints, allowing the robot system to make decisions that trade off be... 详细信息
来源: 评论
Generative Localization With Uncertainty Estimation Through Video-CT Data for Bronchoscopic Biopsy
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第1期5卷 258-265页
作者: Zhao, Cheng Shen, Mali Sun, Li Yang, Guang-Zhong Imperial Coll London Hamlyn Ctr London SW7 2AZ England Univ Oxford Oxford Robot Inst Oxford OX1 2JD England Shanghai Jiao Tong Univ Inst Med Shanghai 200240 Peoples R China
Robot-assisted endobronchial intervention requires accurate localization based on both intra- and pre-operative data. Most existing methods achieve this by registering 2D videos with 3D CT models according to a define... 详细信息
来源: 评论
Robust Humanoid Contact Planning With Learned Zero- and One-Step Capturability Prediction
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 2451-2458页
作者: Lin, Yu-Chi Righetti, Ludovic Berenson, Dmitry Univ Michigan Ann Arbor MI 48109 USA Max Planck Inst Intelligent Syst D-70569 Tubingen Germany NYU New York NY USA
Humanoid robots maintain balance and navigate by controlling the contact wrenches applied to the environment. While it is possible to plan dynamically-feasible motion that applies appropriate wrenches using existing m... 详细信息
来源: 评论
Open-Loop Position Control in Collaborative, Modular Variable-Stiffness-Link (VSL) Robots
收藏 引用
IEEE robotics AND automation LETTERS 2020年 第2期5卷 1772-1779页
作者: Gandarias, Juan M. Wang, Yongjing Stilli, Agostino Garcia-Cerezo, Alfonso J. Gomez-de-Gabriel, Jesus M. Wurdemann, Helge A. Univ Malaga Syst Engn & Automat Dept Malaga 29016 Spain UCL Dept Comp Sci London WC1E 6BT England UCL Dept Mech Engn London WC1E 6BT England
Collaborative robots open up new avenues in the field of industrial robotics and physical Human-Robot Interaction (pHRI) as they are suitable to work in close approximation with humans. The integration and control of ... 详细信息
来源: 评论