Since February, the nurses at Mary Washington Hospital in Fredericksburg, Virginia have had an extra assistant on their shifts: Moxi, a nearly six-foot tall robot that ferries medication, supplies, lab samples, and personal items through the halls, from floor to floor. After two years of battling Covid-19 and related burnout, it's been a welcome relief. "There's two levels of burnout: There's'we're short this weekend' burnout, and then there's pandemic burnout, which our care teams are experiencing right now," says Abigail Hamilton, a former ICU and emergency room nurse that manages nursing staff support programs at the hospital. Moxi is one of several specialized delivery robots that has been developed in recent years to ease the strain on health care workers. Even before the pandemic, nearly half of US nurses felt that their workplace lacked adequate work-life balance.

Over the last 6-12 months, the demand has really skyrocketed such that we're barely keeping up with the demand for people wanting to implement robots in their hospitals. That's the reason why we're raising this round of funding, expanding the team, and expanding our ability to capitalize on that demand. A couple of years ago, if we were working with a hospital it was because they had some special funds set aside for innovation or they had a CTO or a CIO that had a background in robotics, but it certainly wasn't the first thing that every hospital CIO was thinking about. Now that has completely changed. We're getting cold outreach on our website from CIOs of hospitals saying "I need to develop a robotic strategy for our hospital and I want to learn about your solution."

This week you'll be able to listen to the talks of Jonathan Hurst (Professor of Robotics at Oregon State University, and Chief Technology Officer at Agility Robotics) and Andrea Thomaz (Associate Professor of Robotics at the University of Texas at Austin, and CEO of Diligent Robotics) as part of this series that brings you the plenary and keynote talks from the IEEE/RSJ IROS2020 (International Conference on Intelligent Robots and Systems). Jonathan's talk is in the topic of humanoids, while Andrea's is about human-robot interaction. Bio: Jonathan W. Hurst is Chief Technology Officer and co-founder of Agility Robotics, and Professor and co-founder of the Oregon State University Robotics Institute. He holds a B.S. in mechanical engineering and an M.S. and Ph.D. in robotics, all from Carnegie Mellon University. His university research focuses on understanding the fundamental science and engineering best practices for robotic legged locomotion and physical interaction.

Abstract: "In this talk I will cover some of the recent work out of the Socially Intelligent Machines Lab at UT Austin (http://sim.ece.utexas.edu/research.html). The vision of our research is to enable robots to function in dynamic human environments by allowing them to flexibly adapt their skill set via learning interactions with end-users. We explore the ways in which Machine Learning agents can exploit principles of human social learning, and breakdown assumptions about what "data" will be like, when the source of that data is an average human teacher. I will cover our work on interactive reinforcement learning algorithms that model the attention of the teacher; coupling learning from demonstration with simulation to make the best use of valuable interactions with people; and algorithms for re-using previously learned tasks in new contexts with the help of a teacher's hints and corrections. In the latter part of the talk, I will put on my other hat, as co-founder and CEO of Diligent Robotics (http://diligentrobots.com/about) to tell you about how we are translating our research on adapting to human environments into a commercial product. Our first product, Moxi, is a robot assistant that works alongside and supports clinical care teams in hospitals. Moxi was launched into beta trials late last year, and has been deployed in four hospitals across Texas to date."

To experience the state-of-the-art in autonomous mobile manipulation, you'll want to find some well-funded academic lab to visit. Or maybe check out Google, or Amazon, or Toyota Research, or drop in on the RoboCup@Home competition. Really, the only other place you're likely to find an autonomous mobile manipulator is in a relatively structured environment in a factory or warehouse, and even that is pretty rare. Mobile manipulation is super hard, especially when you try to do it in a less structured environment which may be full of all sorts of horribly unpredictable things (like humans). Diligent Robotics, a startup founded by Andrea Thomaz and Vivian Chu, is undaunted by the challenge of autonomous mobile manipulation in semi-structured environments.