The difference between a clunky, pre-programmed industrial robot and a fluid, general-purpose humanoid is the intelligence of its Control Stack. At Robotonomous, we have engineered AI-based control stacks that go beyond simple commands, enabling machines to exhibit nuanced, human-like reactions in complex, shared environments.
From Code to Cognition
Traditional robot control relies on inverse kinematics and pre-defined movement sequences. If an unexpected variable is introduced—say, an item is slightly misplaced on a shelf or a human unexpectedly enters the robot’s workspace—the robot halts or fails. Our AI control stacks replace this rigid approach with Deep Reinforcement Learning (DRL). DRL allows the robot to learn optimal movements by maximizing a reward signal, enabling it to generalize skills and handle unprecedented variability.
Precision in Movement and Handling
The core function of the control stack is translating high-level plans (like “pick up this object”) into precise, real-time motor commands. Whether it’s delicate manipulation in a clean room or heavy Robot Movement & Handling in a logistics hub, our stack ensures safety and efficiency. This is vital for industries in the UK and Canada adopting Human-Robot Collaboration (HRC), where safe interaction with human workers is paramount.
Integration with Advanced Actuators
The control stack is perfectly harmonized with advanced hardware like our AVATAR TD Series Robot Joint Module. The stack’s sophisticated algorithms leverage the joint’s high precision and torque density to execute movements with minimal overshoot and maximum efficiency. This full-stack approach ensures that the intelligence seamlessly drives the physical performance.
By offering this level of control, Robotonomous is building machines that can truly learn and adapt, making them essential assets in the next era of intelligent automation globally.