Table 4 The basic definitions of the mathematical notation used in the equations for the reward terms.

From: Bio-inspired neural networks with central pattern generators for learning multi-skill locomotion

Notation

Definition

\(\varvec{\varphi }_{b}\)

Projection of the gravity vector in the robot base frame

\(h_{b}\)

Robot base height (z) in the world frame

\(v_{x}\)

Forward velocity of the robot base along robot heading

\(v_{y}\)

Lateral velocity of the robot base along robot heading

\(v_{z}\)

Vertical linear velocity of the robot base

\(\omega _{roll}\)

Roll angular velocity of the robot base

\(\omega _{pitch}\)

Pitch angular velocity of the robot base

\(\omega _{yaw}\)

Yaw angular velocity of the robot base

\(\varvec{\tau }\)

Torque of joints

\(\varvec{q}\)

Angle of joints

\(\varvec{\dot{q}}\)

Velocity of joints

\((\hat{\cdot })\)

Desired quantity of placeholder property \((\cdot )\)

\(\varvec{p}_{f, n}\)

The n-th foot horizontal coordinates in the world frame

\(\varvec{p}_{b}\)

Base horizontal coordinates in the world frame

\(\varvec{p}_{h, n}\)

The n-th hip horizontal coordinates in the world frame

\(h_{f, n}^{w}\)

Height of n-th foot in world frame

\(v_{f, n}^{w}\)

Velocity of n-th foot in world frame