28 citations · 46 across the 8 of their papers we have counts for
4 papers · 1 filter
Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations
Nimrod Curtis, Osher Azulay, Avishai Sintov
Learning to navigate in unstructured environments is a challenging task for robots. While reinforcement learning can be effective, it often requires extensive data collection and c…
Visuotactile-Based Learning for Insertion with Compliant Hands
Osher Azulay, Dhruv Metha Ramesh, Nimrod Curtis +1
Compared to rigid hands, underactuated compliant hands offer greater adaptability to object shapes, provide stable grasps, and are often more cost-effective. However, they introduc…
Kinesthetic-based In-Hand Object Recognition with an Underactuated Robotic Hand
Julius Arolovitch, Osher Azulay, Avishai Sintov
Tendon-based underactuated hands are intended to be simple, compliant and affordable. Often, they are 3D printed and do not include tactile sensors. Hence, performing in-hand objec…
Survey of Learning-based Approaches for Robotic In-Hand Manipulation
Abraham Itzhak Weinberg, Alon Shirizly, Osher Azulay +1
Human dexterity is an invaluable capability for precise manipulation of objects in complex tasks. The capability of robots to similarly grasp and perform in-hand manipulation of ob…