Real-Time Innovations (RTI), the largest software framework company for autonomous systems, today announced the latest version of its industry-leading software framework, RTI Connext®.
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Research to understand how humans and robots communicate and interpret each other’s intentions has resulted in a Faculty Early Career Development (CAREER) award for Dr. Yun Seong Song, assistant professor of mechanical and aerospace engineering at Missouri University of Science and Technology. The five-year, $538,876 award from the National Science Foundation (NSF) will support Song’s research to advance physical human-robot interaction.
As robotic systems become more prevalent in everyday life, from materials handling in the manufacturing industry to patient care in clinical settings, humans and robots will need to interact intuitively and effectively while touching or holding each other by the hands. According to Song, this project focuses on understanding how a human and a robot can convey their intent using interaction forces through the way people purposefully stiffen or relax their arms – known as impedance modulation – at a single point