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Embodied Intelligence

The robot loop from observation to action: space and embodiment, software systems, perception and state estimation, planning and control, learned policies, and moving from simulation to hardware.

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  • Get Started


    A fourteen-day perception loop: frames and cameras, ROS 2, a 6DoF pose project inside ROS 2, then a taste of imitation learning.

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  • Overview


    What robotics, embodied intelligence, imitation learning, RL and VLA each are.

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  • Roadmap


    From concepts to a simulated loop, then choose perception, control, policy or systems.

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Knowledge

  • Space & Embodiment


    Frames, rigid transforms, kinematics and dynamics.

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  • Software Systems & Simulation


    ROS 2, topics and transform trees; how data reaches the actuators.

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  • Perception & State Estimation


    Filtering, SLAM, detection and 6DoF pose.

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  • Planning & Control


    Path and trajectory planning; PID, LQR and MPC.

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  • Learned Policies


    Imitation learning, diffusion policies, RL and VLA.

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  • Sim-to-Real


    Domain randomisation, system identification and hardware reliability.

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  • Toolchain & Ecosystem


    Where ROS 2, Isaac Lab, MoveIt, Nav2, SLAM systems and EtherCAT fit.

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Projects

  • Guided Projects


    E0–E5: from turtlesim and 2D robot algorithms to imitation learning in simulation.

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  • Project · 6DoF Pose


    RGB-D object pose: public benchmark, edge deployment and iPhone capture.

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Further

  • Artificial Intelligence


    Learning methods and engineering shared across directions.

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  • Foundation Models


    Multimodal models, VLA and world models.

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