28 citations · 46 across the 8 of their papers we have counts for
8 papers
Unified Perceptive Fall Safety for Humanoids
Osher Azulay, Zhengjie Xu, Andrew Scheffer +1
Reliable fall recovery is critical for humanoids operating in cluttered environments. Unlike quadrupeds or wheeled robots, humanoids undergo high-energy impacts, complex whole-body…
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…
Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities
Osher Azulay, Alon Mizrahi, Nimrod Curtis +1
Simulating tactile perception could potentially leverage the learning capabilities of robotic systems in manipulation tasks. However, the reality gap of simulators for high-resolut…
AllSight: A Low-Cost and High-Resolution Round Tactile Sensor with Zero-Shot Learning Capability
Osher Azulay, Nimrod Curtis, Rotem Sokolovsky +4
Tactile sensing is a necessary capability for a robotic hand to perform fine manipulations and interact with the environment. Optical sensors are a promising solution for high-reso…
Learning Haptic-based Object Pose Estimation for In-hand Manipulation Control with Underactuated Robotic Hands
Osher Azulay, Inbar Ben-David, Avishai Sintov
Unlike traditional robotic hands, underactuated compliant hands are challenging to model due to inherent uncertainties. Consequently, pose estimation of a grasped object is usually…