As difficult as it is for a human to learn ambidexterity, it’s quite easy to program into a humanoid robot. After all, a ...

Noninvasive brain technology enables control of robotic hands through thought alone, and Carnegie Mellon researchers achieved over 80% accuracy using EEG sensors.

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 ...

Scientists have developed a robotic prosthetic hand that offers precision fingertip control. The ultra-light system offers shape-adaptive gripping through simple motion commands. Using an ...

The glove uses an Arduino’s analog to digital converter to read some flex sensors. Commercial flex sensors are pretty expensive, so he experimented with some homemade sensors.

A robotic hand can pick up 24 different objects with human-like movements that emerge spontaneously, thanks to compliant materials and structures rather than programming.

Elon University junior Cassidy Parrish designs a robotic glove to aid her father's hand mobility, addressing the need for personalized rehabilitation tools.

The demand for robotic systems to assist individuals and undertake complex tasks has grown, particularly in enhancing mobility for those with physical disabilities and ensuring safety in hazardous ...

Researchers unveiled a new soft prosthetic hand that combines the natural coordination patterns of our fingers with the decoding of motoneuron activity in the spinal column.

New soft robotic hand uses nerve signals for more natural, intuitive control, improving dexterity for prosthesis users.