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Zohar Feldman

2 accepted papers

2024

Uncertainty-driven Exploration Strategies for Online Grasp Learning

ICRA 2024poster

Existing grasp prediction approaches are mostly based on offline learning, while, ignoring the exploratory grasp learning during online adaptation to new picking scenarios, i.e., objects that are unseen or out-of-domain (OOD), camera and bin settings, etc. In this paper, we present an uncertainty-ba…

Cited by 4SourceScholar
2022

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives

ICRA 2022poster

Many possible fields of application of robots in real world settings hinge on the ability of robots to grasp objects. As a result, robot grasping has been an active field of research for many years. With our publication we contribute to the endeavor of enabling robots to grasp, with a particular foc…

Cited by 23SourceScholar