PHI Lab | Bar-Ilan University

PHI Lab | Bar-Ilan University

Research

PHI Lab at Bar-Ilan University studies what human movement and physiological signals reveal about health, motor function, and adaptation. Our research combines machine learning, computer vision, and multimodal sensing to support clinical assessment and personalized rehabilitation. We also investigate how robots learn from human experience and how people and robots adapt and solve physical tasks together.

Conceptual illustration of a person balancing, with motion traces and subtle representations of functional assessment.

Physical Human Intelligence

We develop multimodal AI methods to infer underlying motor and functional states from movement and physiology, aiming to detect impairment, characterize disease severity, and track functional change.

Conceptual illustration of personalized functional practice with interactive feedback and robotic assistance.

Personalized Rehabilitation

We investigate how rehabilitation robots and interactive games can adapt assistance, feedback, and challenge to each person, supporting motor learning, lasting recovery, and transfer to everyday activities.

Conceptual illustration of a person refining a movement strategy and a robot applying the same principle to a different task.

Learning from Human Experience

We study how robots can learn from the way people acquire skills—including exploration, errors, and strategy changes—combining demonstrations, language, and movement to transfer knowledge across bodies and tasks.

Conceptual illustration of a person and robot adjusting a shared object around a changed obstacle.

Adaptive Human–Robot Collaboration

We investigate how people and robots adapt together when tasks or conditions change, coordinating roles, sharing information, and recovering from unexpected events to solve physical problems jointly.