The Advanced Robot Body Control Interface (ARB-CI) is designed to enable seamless control over robotic systems with multiple degrees of freedom (DoF). This interface supports dynamic motion control, body posture regulation, and real-time feedback from sensors, making it suitable for humanoid and quadruped robots. By combining AI-driven motion planning with hardware-level precision, ARB-CI ensures robust performance across industrial, medical, and service robotics applications.
Modern robots require sophisticated body control to perform complex movements such as walking, climbing, lifting, and manipulation. Traditional control interfaces often rely on predefined motion scripts, limiting flexibility. The ARB-CI introduces a modular, AI-assisted system that integrates low-level motor control with high-level body coordination, enabling adaptive and human-like motion.
The interface is built on three control layers:
Low-Level Control: Manages actuators, servos, and motor currents.
Mid-Level Control: Maintains stability and posture using sensor fusion (IMU, gyroscope, force sensors).
High-Level Control: AI-driven motion planning for tasks such as walking, obstacle navigation, and manipulation.
ARB-CI was tested on a simulated humanoid robot with 24 DoF and a quadruped with 12 DoF. Experiments included gait generation, posture recovery after external force, and coordinated arm-leg movement. Performance metrics included stability index, energy consumption, and motion accuracy.
Stable bipedal gait achieved at 1.2 m/s walking speed.
Posture recovery time after push reduced to 0.8 seconds.
Improved energy efficiency by 14% compared to baseline controllers.
The Advanced Robot Body Control Interface provides a robust and modular solution for controlling robots with multiple DoF. By blending physics-based models with AI-driven adaptability, it offers a foundation for next-generation humanoid and quadruped robotics.