ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2002.11310
  4. Cited By
From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation
  (VIN)
v1v2v3 (latest)

From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)

26 February 2020
Xin Ye
Yezhou Yang
    SSL
ArXiv (abs)PDFHTML

Papers citing "From Seeing to Moving: A Survey on Learning for Visual Indoor Navigation (VIN)"

7 / 7 papers shown
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and
  Future Directions
Inertial Navigation Meets Deep Learning: A Survey of Current Trends and Future DirectionsResults in Engineering (RE), 2023
Nadav Cohen
Itzik Klein
3DGS
410
86
0
22 Jun 2023
A Contextual Bandit Approach for Learning to Plan in Environments with
  Probabilistic Goal Configurations
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal ConfigurationsIEEE International Conference on Robotics and Automation (ICRA), 2022
S. Rudra
Saksham Goel
Anirban Santara
Claudio Gentile
Laurent Perron
Fei Xia
Vikas Sindhwani
Carolina Parada
Gaurav Aggarwal
285
13
0
29 Nov 2022
Vision-Language Navigation: A Survey and Taxonomy
Vision-Language Navigation: A Survey and Taxonomy
Wansen Wu
Tao Chang
Xinmeng Li
LM&Ro
440
60
0
26 Aug 2021
Core Challenges in Embodied Vision-Language Planning
Core Challenges in Embodied Vision-Language PlanningJournal of Artificial Intelligence Research (JAIR), 2021
Jonathan M Francis
Nariaki Kitamura
Felix Labelle
Xiaopeng Lu
Ingrid Navarro
Jean Oh
LM&Ro
644
62
0
26 Jun 2021
A Survey of Embodied AI: From Simulators to Research Tasks
A Survey of Embodied AI: From Simulators to Research TasksIEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2021
Jiafei Duan
Samson Yu
Tangyao Li
Huaiyu Zhu
Cheston Tan
LM&Ro
752
482
0
08 Mar 2021
CompositeTasking: Understanding Images by Spatial Composition of Tasks
CompositeTasking: Understanding Images by Spatial Composition of TasksComputer Vision and Pattern Recognition (CVPR), 2020
Nikola Popovic
D. Paudel
Thomas Probst
Guolei Sun
Luc Van Gool
268
7
0
16 Dec 2020
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning
  with Intrinsic-Extrinsic Modeling
Efficient Robotic Object Search via HIEM: Hierarchical Policy Learning with Intrinsic-Extrinsic ModelingIEEE Robotics and Automation Letters (RA-L), 2020
Xin Ye
Yezhou Yang
368
24
0
16 Oct 2020
1
Page 1 of 1