CLIPUNetr: Assisting Human-robot Interface for Uncalibrated Visual Servoing Control with CLIP-driven Referring Expression Segmentation
Author:
Affiliation:
1. University of Alberta,Department of Computing Science,Edmonton AB,Canada,T6G 2E8
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10609961/10609862/10611647.pdf?arnumber=10611647
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1. ViTa: Visual task specification interface for manipulation with uncalibrated visual servoing
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3. AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
4. Video Object Segmentation-based Visual Servo Control and Object Depth Estimation on a Mobile Robot
5. An Affordance Keypoint Detection Network for Robot Manipulation
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