Articles tagged with Robot Control
Researchers at MIT develop RFusion, a robotic system that uses data from a camera and radio frequency antenna to locate and retrieve lost items. The system relies on RFID tags and machine learning algorithms to optimize the robot's trajectory and grasp the object.
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.
Cong Wang aims to develop a two-fingered robot that can perform everyday tasks with precision manipulation, using artificial intelligence and crowdsourcing. The robot will be taught by human volunteers through the Amazon Mechanical Turk system, with the goal of creating a physically intelligent being.
A new algorithm provides accurate solutions that mimic natural human movement, reducing the risk of injury. The Pro-ISADE approach improves calculation speed while ensuring calculated joint angles are feasible for robotic use in daily activities like drinking water and brushing teeth.
Researchers from Bar-Ilan University demonstrate the application of physical concepts in physics to solve key challenges in artificial intelligence. By adopting power-law scaling, they show that learning each example once is equivalent to learning examples repeatedly, enabling rapid decision-making and ultrafast learning.