Embodied systems where perception and intelligence become action.
Robotics defines the action and control layer of Neuroide. This topic covers how perception, learned models, planning, control, middleware, simulation, and validation are combined into systems that execute in the physical world.
Kinematics, dynamics, state estimation, feedback control, and numerical optimization.
Manipulation, planning, trajectory generation, collision checking, and constraints.
ROS 2, planning stacks, simulation, logging, and integration across system layers.
Benchmarking, safety, recovery behavior, and evidence under distribution shift.
Robotics Learning Pathways
A practical guide to sequencing the major concepts in robotics, from mathematics and control to learning and deployment.
Robotics Tools and Software Ecosystem
An overview of middleware, planning stacks, simulation environments, perception tooling, and evaluation workflows.
Robotics as a General Control Problem
A systems article on robotics as coordinated estimation, allocation, planning, execution, and recovery, with intralogistics as one example.
Useful Frameworks and Domains in Robotics
A structured overview of the main technical frameworks in robotics and the application domains where they matter.
Differential Inverse Kinematics
Jacobian methods, damping, and redundancy resolution for manipulator control.
Robotics Software and Evaluation Stack
Middleware, simulation, logging, and structured evaluation for embodied systems.