Building Intelligent
Human-Robot Teams

The Adaptive Human-Robot Teaming (AHRT) Lab at Rochester Institute of Technology develops algorithms that enable robots to understand and adapt to their human partners — making collaboration safer, smarter, and more inclusive.

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$4.8M+

Research Funding

NSF, DoD, NGA, ARL

30+

Peer-Reviewed Publications

IEEE, ACM, SPIE

30+

Lab Members

PhD, MS, Undergrad

U.S. Patent

Clinical Decision Support

Research

Humans first — three interconnected thrusts for human-centered robotics

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Human-Robot Teaming

The cornerstone of our lab — full-stack human-aware collaboration from real-time state perception to adaptive decision-making and inclusive interaction with diverse populations.

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Human-Aware Reinforcement Learning

Psychologically inspired RL that learns with people — offline policy reuse from human data, anxiety-modeled caution, and intrinsic rewards grounded in human emotion.

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Human-Centered Sensing & Modeling

Multimodal fusion of human behavioral, physiological, and environmental signals — with robust modality regulation, lightweight models, and synthetic data to close the human-data gap.

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