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Claire chatted to Chad Jenkins from University of Michigan about how robots can learn from people and assist us in our daily lives.

Odest Chadwicke Jenkins is a Professor of Robotics and a Professor of Electrical Engineering and Computer Science at the University of Michigan. His research addresses problems in robot learning from demonstration and human-robot interaction, primarily focused on dexterous mobile manipulation and robot perception. In 2022, he founded the Robotics Major Degree Program for undergraduates at the University of Michigan. He was awarded the 2024 ACM/CMD-IT Richard A. Tapia Achievement Award for Scientific Scholarship, Civic Science, and Diversifying Computing.

Photo credit: Joseph Xu, Michigan Engineering Communications & Marketing

Major Facility Investment Brings Advanced Manufacturing Jobs and Interactive Robotics Experience to South Bay; New Headquarters Features 20+ Working "Physical AI" Robotic Cells

Inspired by the human eye, our biomedical engineering lab at Georgia Tech has designed an adaptive lens made of soft, light-responsive, tissuelike materials. Our study is published in the journal Science Robotics.

Researchers at the University of Cincinnati are developing a drone with flapping wings that can locate and hover around a moving light like a moth to a flame.

An international team led by researchers at the University of Waterloo has developed a new material that can be used as flexible artificial muscles to replace rigid motors and pumps in robots and allow them to move more naturally and fluidly.

The bottom line is this: in the age of AI, the winners won’t be the warehouses with the flashiest tools. They’ll be the ones that know how to orchestrate people, processes, and technology into a system that is both efficient and resilient.

Amazon on Wednesday said it is speeding up the automation of its warehouses with the help of artificial intelligence and robotics, raising questions about the future of human workers.

From bananas to burgers, store aisles to sidewalks, an army of robots has descended upon Chicagoland with the singular mission to bring us food.

A wireless eye implant developed at Stanford Medicine has restored reading ability to people with advanced macular degeneration. The PRIMA chip works with smart glasses to replace lost photoreceptors using infrared light. Most trial participants regained functional vision, reading books and recognizing signs. Researchers are now developing higher-resolution versions that could eventually provide near-normal sight.

Researchers at the University of Surrey developed an AI that predicts what a person’s knee X-ray will look like in a year, helping track osteoarthritis progression. The tool provides both a visual forecast and a risk score, offering doctors and patients a clearer understanding of the disease. Faster and more interpretable than earlier systems, it could soon expand to predict other conditions like lung or heart disease.

The Edge Edition was developed through close collaboration to meet the growing demand for compact, mobile cobot solutions. Our R&D team miniaturized the controller to just 10% of its original size and integrated it into the cobot’s base.

The Edge Edition was developed through close collaboration to meet the growing demand for compact, mobile cobot solutions. Our R&D team miniaturized the controller to just 10% of its original size and integrated it into the cobot’s base.

Claire chatted to competitors, exhibitors, and attendees at the Smart City Robotics Competition in Milton Keynes.

This bonus episode was sponsored by euRobotics, an international non-profit association that aims to boost European robotics research, development, and innovation.

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While the milling process is based on historic tradition, the company’s packaging and product handling takes a high-tech approach: “Our vision is to double the number of people eating Bob's Red Mill by 2030. Automation will help us reach that goal.”