Back to research groups

Engineering and Technology

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

Artificial IntelligenceMachine LearningDeep LearningReinforcement LearningMulti-Agent SystemsSwarm RoboticsAutonomous SystemsRobotics EngineeringRobot Operating Systems (ROS2)Computational GeometryGraph TheoryTopological Data AnalysisMathematical ModelingOptimization AlgorithmsComputer Vision3D ReconstructionComputer GraphicsSimulation DevelopmentDigital TwinsCAD DesignMechanical EngineeringSoft RoboticsBiomimetic DesignEmbedded SystemsMicrocontrollersSensor IntegrationElectronicsControl SystemsFinite Element AnalysisMaterials ScienceScientific ComputingPython ProgrammingC++ ProgrammingData AnalysisResearch WritingLiterature ReviewExperimental DesignTechnical Documentation

Description

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.

Public Weekly Activity

Updates submitted by the research team appear here so NSRI members can follow project progress.

Loading activity...