Action is where models become behavior under real constraints.
Action is the research pillar concerned with robotics, control, planning, validation, simulation, and deployment. Neuroide treats action as the engineering layer where intelligence must hold up against timing, safety, uncertainty, and contact with the real world.
Embodied systems, middleware, software stacks, system composition, and deployment architecture.
Feedback, scheduling, motion generation, coordination, and decision making in physical systems.
Benchmarking, safety evidence, digital twins, propagation risk, and simulation as an evidence-producing instrument.
Robotics
Embodied execution, middleware, and systems integration.
Control and Planning
Feedback, planning, coordination, and decision making in the physical world.
Validation and Simulation
Benchmarking, safety evidence, and simulation for trustworthy robotics.
Robotics as a System-Level Control Problem
Intralogistics as a hierarchical control problem across estimation, allocation, planning, execution, and recovery.
Runtime-Calibrated Digital Twins for Sim-to-Real Robotics
Simulation as a continuously calibrated instrument for design and failure analysis.