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Basic Principles

The system utilizes a hierarchical approach to control movement, with high-level task objectives guiding lower-level motor commands.

This architecture allows for the integration of sensory data and external constraints into the control loop, enabling robust and adaptable behavior.

Whole-Body Control - Simulation Parameters

**Introduction:** This section details the key parameters for simulating whole-body control in our robotic environment. Accurate simulation requires careful consideration of these factors to ensure realistic behavior and performance.

**Robot Model:** The robot model defines the physical characteristics of the simulated system, including its dimensions, mass distribution, and joint limits. These parameters are crucial for accurate force calculations and collision detection.

**Contact Modeling:** Realistic contact modeling is essential for simulating interactions between the robot and its environment. Our simulation utilizes a [Specific Contact Model Name - e.g., Finite Element] approach to accurately represent friction, restitution, and other contact properties.

**Actuator Dynamics:** The dynamics of the actuators (motors) are modeled to capture their response characteristics, including inertia, damping, and torque limits. This allows for realistic simulation of motor control and movement limitations.

**Sensor Modeling:** Sensor data is simulated based on predefined noise profiles and measurement uncertainties. Accurate sensor modeling is critical for robust decision-making and control performance.

**Simulation Time Step:** The simulation time step determines the accuracy of the dynamic calculations. Smaller time steps generally lead to more accurate results but require increased computational resources.

Frequently asked questions

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Усе, що вище, працює прямо у вашому браузері — відкрийте Inverse Kinematics (FABRIK) і змінюйте параметри під час роботи. Нічого не встановлюється, нічого не завантажується на сервер, уся модель живе в одній вкладці.