28 citations · 55 across the 24 of their papers we have counts for
12 papers · 2 filters
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…
Vibration-based Full State In-Hand Manipulation of Thin Objects
Oron Binyamin, Guy Shapira, Noam Nahum +1
Robotic hands offer advanced manipulation capabilities, while their complexity and cost often limit their real-world applications. In contrast, simple parallel grippers, though aff…
Robust Dynamic Gesture Recognition at Ultra-Long Distances
Eran Bamani Beeri, Eden Nissinman, Avishai Sintov
Dynamic hand gestures play a crucial role in conveying nonverbal information for Human-Robot Interaction (HRI), eliminating the need for complex interfaces. Current models for dyna…
Human Arm Pose Estimation with a Shoulder-worn Force-Myography Device for Human-Robot Interaction
Rotem Atari, Eran Bamani, Avishai Sintov
Accurate human pose estimation is essential for effective Human-Robot Interaction (HRI). By observing a user's arm movements, robots can respond appropriately, whether it's providi…
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…
Motion Planning for Minimally Actuated Serial Robots
Avi Cohen, Avishai Sintov, David Zarrouk
Modern manipulators are acclaimed for their precision but often struggle to operate in confined spaces. This limitation has driven the development of hyper-redundant and continuum…