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3D Move to See: Multi-perspective visual servoing for improving object
  views with semantic segmentation

3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation

21 September 2018
Christopher F. Lehnert
Dorian Tsai
Anders P. Eriksson
Chris McCool
ArXiv (abs)PDFHTML

Papers citing "3D Move to See: Multi-perspective visual servoing for improving object views with semantic segmentation"

4 / 4 papers shown
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for
  Efficient 3D Plant Reconstruction by a Robot
SSL-NBV: A Self-Supervised-Learning-Based Next-Best-View algorithm for Efficient 3D Plant Reconstruction by a RobotComputers and Electronics in Agriculture (Comput. Electron. Agric.), 2024
Jianchao Ci
Eldert J. van Henten
Xin Wang
A. K. Burusa
Gert Kootstra
249
8
0
02 Oct 2024
STAIR: Semantic-Targeted Active Implicit Reconstruction
STAIR: Semantic-Targeted Active Implicit Reconstruction
Liren Jin
Haofei Kuang
Yue Pan
C. Stachniss
Marija Popović
3DV
296
1
0
17 Mar 2024
Push Past Green: Learning to Look Behind Plant Foliage by Moving It
Push Past Green: Learning to Look Behind Plant Foliage by Moving ItConference on Robot Learning (CoRL), 2023
Xiaoyun Zhang
Saurabh Gupta
378
6
0
06 Jul 2023
Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting
  Robots
Push and Drag: An Active Obstacle Separation Method for Fruit Harvesting RobotsIEEE International Conference on Robotics and Automation (ICRA), 2020
Ya Xiong
Yuanyue Ge
P. J. From
102
8
0
20 Apr 2020
1
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