Abstract: A rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit and a hybrid robot platform thereof is provided and includes a vertical rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit and a horizontal rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit, which both include a moving device, a moving drive, a steering frame, a lifting frame, a spring device and a driving differential wheel set, in combination with a frame, a driver set, a battery pack and a control box, forming a multi-degree-of-freedom parallel mechanism platform. The hybrid robot platform including the rigid-flexible coupling multi-degree-of-freedom walking position-adjusting leg unit as provided by the present disclosure has functions of a rigid position adjustment, an elastic suspension and a rigid-flexible coupling position adjustment, and can automatically adapt to a working condition of the uneven ground.

Abstract: Provided are a driver controller integrated board, a control system, and a robot. The driver controller integrated board includes a control module (1), a drive module (2), and a first substrate (3). The control module (1) and the drive module (2) are disposed on the first substrate (3), and the control module (1) is electrically connected to the drive module (2).

Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that perform testing that results in non-binomial experimental results that are processed by using efficient and robust processing methods. In one implementation, efficient and robust processing methods are employed to process non-binomial results produced from single-factor tests. In a second implementation, robust and computationally efficient processing methods are employed to analyze non-binomial results from multi-factor/multi-level tests.

Abstract: The current document is directed to automated electronic testing, optimization, and/or analysis systems that perform testing that results in non-binomial experimental results that are processed by using efficient and robust processing methods. In one implementation, efficient and robust processing methods are employed to process non-binomial results produced from single-factor tests. In a second implementation, robust and computationally efficient processing methods are employed to analyze non-binomial results from multi-factor/multi-level tests.