A Deep Learning Approach to Grasping the Invisible

11 September 2019

Papers citing "A Deep Learning Approach to Grasping the Invisible"

8 / 8 papers shown

Title
Efficient Alignment of Unconditioned Action Prior for Language-conditioned Pick and Place in Clutter Kechun Xu Xunlong Xia Kaixuan Wang Yifei Yang Yunxuan Mao Bing Deng R. Xiong Y. Wang OffRL 64 0 0 12 Mar 2025
OPG-Policy: Occluded Push-Grasp Policy Learning with Amodal Segmentation Hao Ding Yiming Zeng Zhaoliang Wan Hui Cheng 58 1 0 06 Mar 2025
Attribute-Based Robotic Grasping with Data-Efficient Adaptation Yang Yang Houjian Yu Xibai Lou Yuanhao Liu Changhyun Choi 43 8 0 04 Jan 2025
ICGNet: A Unified Approach for Instance-Centric Grasping René Zurbrugg Yifan Liu Francis Engelmann Suryansh Kumar Marco Hutter Vaishakh Patil Fisher Yu 3DV 18 10 0 18 Jan 2024
Smart Explorer: Recognizing Objects in Dense Clutter via Interactive Exploration Zhenyu Wu Ziwei Wang Zibu Wei Yi Wei Haibin Yan 22 7 0 06 Aug 2022
Improved Reinforcement Learning Pushing Policies via Heuristic Rules Marios Kiatos Iason Sarantopoulos S. Malassiotis Z. Doulgeri 24 0 0 22 Nov 2021
Mechanical Search on Shelves using Lateral Access X-RAY Huang Huang Marcus Dominguez-Kuhne Jeffrey Ichnowski V. Satish Michael Danielczuk Kate Sanders Andrew Lee A. Angelova Vincent Vanhoucke Ken Goldberg 19 30 0 23 Nov 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation Vijay Badrinarayanan Alex Kendall R. Cipolla SSeg 435 15,631 0 02 Nov 2015