Nadav D. Kahanowich — accepted AI-conference papers

2022

Robust Multi-User In-Hand Object Recognition in Human-Robot Collaboration Using a Wearable Force-Myography Device

Eran Bamani, Nadav D. Kahanowich, Inbar Ben-David, Avishai Sintov

RA-L 2022

Applicable human-robot collaboration requires intuitive recognition of human intention during shared work. A grasped object such as a tool held by the human provides vital information about the upcoming task. In this letter, we explore the use of a wearable device to non-visually recognize objects w

Cited by 11 Source ↗Scholar ↗

2021

Robust Classification of Grasped Objects in Intuitive Human-Robot Collaboration Using a Wearable Force-Myography Device

Nadav D. Kahanowich, Avishai Sintov

RA-L 2021

Feasible human-robot collaboration requires intuitive and fluent understanding of human motion in shared tasks. The object in hand provides the most valuable information about the intended task of a human. In this letter, we propose a simple and affordable approach where a wearable force-myography d

Cited by 21 Source ↗Scholar ↗