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Osher Azulay
Osher Azulay
PhD Candidate, Tel Aviv University
Verified email at mail.tau.ac.il - Homepage
Title
Cited by
Cited by
Year
Wheel loader scooping controller using deep reinforcement learning
O Azulay, A Shapiro
IEEE access 9, 24145-24154, 2021
432021
Learning haptic-based object pose estimation for in-hand manipulation control with underactuated robotic hands
O Azulay, I Ben-David, A Sintov
IEEE Transactions on Haptics 16 (1), 73-85, 2022
92022
Learning to throw with a handful of samples using decision transformers
M Monastirsky, O Azulay, A Sintov
IEEE Robotics and Automation Letters 8 (2), 576-583, 2022
72022
Haptic-Based and -Aware Object Insertion Using Compliant Hands
O Azulay, M Monastirsky, A Sintov
IEEE Robotics and Automation Letters 8 (1), 208-215, 2022
72022
Allsight: A low-cost and high-resolution round tactile sensor with zero-shot learning capability
O Azulay, N Curtis, R Sokolovsky, G Levitski, D Slomovik, G Lilling, ...
IEEE Robotics and Automation Letters 9 (1), 483-490, 2023
62023
Survey of Learning Approaches for Robotic In-Hand Manipulation
AI Weinberg, A Shirizly, O Azulay, A Sintov
arXiv preprint arXiv:2401.07915, 2024
12024
Augmenting Tactile Simulators with Real-like and Zero-Shot Capabilities
O Azulay, A Mizrahi, N Curtis, A Sintov
arXiv preprint arXiv:2309.10409, 2023
12023
Kinesthetic-based In-Hand Object Recognition with an Underactuated Robotic Hand
J Arolovitch, O Azulay, A Sintov
arXiv preprint arXiv:2401.16802, 2024
2024
Survey of Learning Approaches for Robotic In-Hand Manipulation
A Itzhak Weinberg, A Shirizly, O Azulay, A Sintov
arXiv e-prints, arXiv: 2401.07915, 2024
2024
AllSight: Advancing Optical Tactile Sensing and Sim-to-Real Learning for Dexterous Robotic Manipulation
O Azulay, A Sintov
Open-Sourcing Generative Models for Data-driven Robot Simulations
E Bamani, O Azulay, A Gurevich, A Sintov
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Articles 1–11