ieoRobot R&D History

2015：Robotics research, development of ZMP control method

2016：Technology selection, research on underactuated control theory of HZD with high-dimensional manifolds for dimensionality reduction

2017：The implementation of the theory, the model derivation and solution of the HZD framework for high-dimensional manifold dimensionality reduction

2018：Implementation and optimization of HZD underactuated motion control systems

2019：The design and optimization of the overall structure of the robot, the selection of the control chip, and the development and improvement of the Linux-based control system

2020：10 The introduction of the DOF IMU, the development of the robot attitude and speed prediction algorithm RIEKF, and the test of the algorithm on the real machine

2021：Integrate machine vision input and audio capture, and optimize control algorithms

2022：Optimize the ieoRobot motion control system.