Guy Avraham
Papers
5
Total Citations
123
H-Index
5
About
Guy Avraham is a researcher whose work sits at the fascinating intersection of motor control, human-robot interaction, and machine intelligence. His most significant contribution is the pioneering development of the "Turing-like Handshake Test," a novel framework that extends the classic Turing test from the realm of language to the domain of movement. Instead of asking if a machine can think, Avraham asks if it can *move* indistinguishably from a human. His highly cited 2012 paper, "Toward Perceiving Robots as Humans: Three Handshake Models Face the Turing-Like Handshake Test" (63 citations), along with related works, establishes a rigorous, telerobotic methodology for evaluating the human-likeness of robotic handshakes. This work directly challenges how we define motor intelligence and social interaction in machines. Beyond this core contribution, Avraham has also advanced the field methodologically with "OnPoint" (2020, 17 citations), an open-source package designed to run precise motor learning experiments online, democratizing access to high-quality research tools. Through his creative and rigorous approach, Avraham is fundamentally reshaping how we assess and design robots that can interact with us on a human level.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Turing-Like Handshake Test for Motor Intelligence21 citations · 2010
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- 5One Dimensional Turing-Like Handshake Test for Motor Intelligence10 citations · 2010