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MIT developed a deep learning system that lets soft robots follow commands from a single image, enabling accurate, low-cost control in tight and rough spaces.

Researchers researchers bring noninvasive EEG-based BCI one step closer to everyday use by demonstrating real-time brain decoding of individual finger movement intentions and control of a dexterous ...

BCI robotic hand control reaches new finger-level milestone Robotic systems have the potential to greatly enhance daily living for the over one billion individuals worldwide who experience some ...

Robotic systems have the potential to greatly enhance daily living for the over one billion individuals worldwide who experience some form of disability. Brain-computer interfaces or BCIs present a ...

EngineAI files patent for an AI-driven control system enabling humanoid robots to walk with straight legs, boosting realism, stability, and efficiency.

Researchers have studied zebrafish behavior to design a simple control system that helps robots follow a leader without crashing.

Paralyzed man controls a robotic arm using his thoughts for seven months without requiring recalibration using a brain-computer interface (BCI) enhanced with AI machine learning.

The system controller in a humanoid robot acts as its brain, processing sensor data to perceive its environment, make decisions and control movements.

Flexiv has launched Elements Series 3, an enhanced adaptive robot control system featuring improved user experience, 3D simulation capabilities, and support for multiple external axes, simplifying ...

This advancement could lead to robots functioning independently in challenging environments. King’s College London researchers have created a pressure-based, electricity-free robotic control system ...