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Adaptive Geometric Intelligence & Learning for Embodied Systems (AGILE) Lab

Led by Alissa Monir · NSRI

Artificial IntelligenceMachine LearningDeep LearningReinforcement LearningMulti-Agent Systems
Open roles20 roles open

01 · Research brief

About this project

AGILE Lab is an advanced interdisciplinary research group focused on developing adaptive geometric intelligence for autonomous embodied systems. The team investigates how geometry, morphology, and decentralized communication can enable scalable collective intelligence in robotic systems. By integrating swarm robotics, computational geometry, artificial intelligence, bio-inspired engineering, and simulation-based modeling, AGILE Lab develops novel algorithms and robotic architectures that allow autonomous agents to perceive, reason, adapt, and collaborate in complex environments.

Current research focuses on geometry-induced collective inference, multi-agent coordination, autonomous reconstruction, and efficient robotic systems inspired by biological collective behaviors.

03 · Research activity

Public weekly activity

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