Articles tagged with Robots and Society
A study published in Science Robotics journal reveals that humans are unable to distinguish between a humanoid robot's response time variability and that of a human when interacting with the robot. This finding suggests robots can exhibit human-like behavior, raising questions about the blurring line between humans and machines.
A study published in Labour Economics found that US workers who work alongside industrial robots are more likely to suffer from adverse mental health effects, including substance abuse and increased suicide rates. In contrast, German workers saw no significant mental-health change when exposed to robotics.
A team of researchers has successfully connected a partially paralyzed man's brain to a pair of robotic arms, allowing him to feed himself using subtle motor signals. The 'shared control strategy' enables the user to customize robot behavior with limited human input, creating a 'best of both worlds' environment.
Researchers are refining COBRA, a repair robot inspired by snakes, for medical use in throat cancer and injury surgery. The robot offers more dexterity, accuracy, and high-definition views for surgical teams.
Researchers at Imperial College London developed a bendy robotic arm that can twist and turn in all directions, allowing for customizable shapes. The team created an augmented reality system to enhance user-friendliness, enabling users to easily configure the robot using motion tracking cameras and smartglasses.
Researchers from RIKEN created Nikola, an android child that can convey six basic emotions through facial expressions. The study tested the quality of these expressions and found that humans can recognize them with varying accuracy.
A Japanese study found that a robot's physical texture, such as softness or elasticity, affects perceptions of its personality. The researchers used six humanoid robots with varying arm textures and asked participants to touch and evaluate them.
SUTD researchers develop sensor that assigns dirt score to areas based on visual and tactile analysis, allowing for more efficient exploration of complex spaces. The sensor is integrated with a smart algorithm that directs the robot to focus on areas with high dirt probability.