Soft robots have garnered interest for real-world applications because of their intrinsic safety embedded at the material level. These robots use deformable materials capable of shape and behavioral changes and allow conformable physical contact for manipulation. ...
Soft robots have garnered interest for real-world applications because of their intrinsic safety embedded at the material level. These robots use deformable materials capable of shape and ...
Robots with chemical sensors could be highly accurate in smell and taste, but building in a robot’s sense of itself and its body is far more difficult.
Focus is on both applied and theoretical issues in robotics and automation. Robotics is here defined to include intelligent machines and systems; whereas automation includes the use of ...
Anyone who has played a game of Jenga will know the delicate touch required to keep the tower of wooden blocks from crashing down, and it’s not the kind of finesse you’d associate with a ...
Robotic technology had come a long way in the past couple of decades, with more intelligent machines capable of superhuman feats that were once thought impossible. Robots are great at doing ...
Industrial machines could be trained to be less clumsy if we gave them a sense of touch and a better sense of real-world physics.
The Office of Naval Research provided the funding for the development of an underwater robotic hand equipped with a variety of sensors.
Traditionally investigated in philosophy, body ownership and agency—two main components of the minimal self—have recently gained attention from other disciplines, such as brain, cognitive ...
New fibrous material could allow robots to feel touch and sense how they interact with their environment
The RoCycle system relies solely on sensors and soft robotics to identify and sort glass, plastic, and metal through touch alone.
The NeuroEng School aims to introduce computational and technological methods to interact with the brain. Interaction is a key issue for understanding the physiological basis of neuronal ...
A touching innovation out of Stanford.
A new, flexible, and self-powered sensor made by magnetoelectric materials can convert mechanical stimuli to electrical signals for robots with a
Deep learning algorithms that enable touch as well as vision can create tremendous opportunities for robotics apps.
With the help of machine learning, researchers built a tactile sensor to measure force distribution, enabling robot arms to grasp fragile objects.