Introduction on Learning Based Multi View Exploration For Grasp Detection
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Vision Based Grasp Learning
Deep learning-based method for vision-guided robotic grasping of unknown objects.
Vision-based Object Orientation Detection and Grasp Optimization
VLAD-Grasp: Zero-shot Grasp Detection via Vision-Language Models (IROS 2026)
MVGrasp: Real-Time Multi-View 3D Object Grasping in HighlyCluttered Environments
Simultaneous Multi-View Object Recognition and Grasping in Open-Ended Domains
Multi-task Domain Adaptation for Deep Learning of Instance Grasping from Simulation
Robotic Grasp Detection
Visual Detection of Opportunities to Exploit Contact in Grasping Using MABs
robot grasping
TVGD: Tactile-visual fusion based robotic grasp detection method with reproducible sensor
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Last Updated: October 20, 2026
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Summary
My entry for the Hackaday Prize 2017: A semi-autonomous robotic The video shows an application of a Paper: arxiv.org/abs/2106.01866 IRL-Lab: ai.rug.nl/irl-lab/ To aid humans in everyday tasks, robots need to ... The target object is the red sphere, while the other two are random distractors.
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