Jeff Lieberman
Papers
11
Total Citations
1,018
H-Index
11
About
Jeff Lieberman is a pioneering robotics and human-robot interaction researcher whose work spans social robotics, therapeutic technology, and motor learning. Best known for developing the **Huggable**, a therapeutic robotic companion designed to deliver relational and affective touch, Lieberman addressed a critical gap in patient care by creating a robot capable of substituting for companion animals in clinical settings where live animals are impractical — work that has accumulated over 300 citations across multiple publications. His research into socially intelligent humanoid robots explored how machines can function as genuine cooperative partners with people, drawing on joint intention theory and collaborative discourse to enable robots to learn and work alongside humans — contributions that have garnered nearly 300 additional citations. Perhaps most innovatively, Lieberman developed TIKL, a wearable vibrotactile feedback suit that harnesses multi-sensory channels to accelerate human motor skill acquisition, amassing over 300 citations and opening new frontiers in embodied learning technology. Across his body of work, Lieberman consistently bridges cognitive science, robotics, and human well-being, producing research with both theoretical depth and immediate real-world applicability, cementing his reputation as a significant voice in socially assistive and collaborative robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of a therapeutic robotic companion for relational, affective touch184 citations · 2006
- 3TUTELAGE AND COLLABORATION FOR HUMANOID ROBOTS149 citations · 2004
- 4HUMANOID ROBOTS AS COOPERATIVE PARTNERS FOR PEOPLE102 citations · 2004
- 5
- 6Action parsing and goal inference using self as simulator57 citations · 2006
- 7Working collaboratively with humanoid robots52 citations · 2005
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- 10