Or perform a cheerleading routine? Or move in a style appropriate for a given mode of human interaction? Answering these questions requires an interpretation of what differentiates two distinct movement styles and a method for parsing this difference into quantitative parameters.
Each week, staff writer Paul Wood talks with a different high-tech leader.
She directs the UI's Robotics, Automation and Dance Lab, a shared research laboratory seeking to make breakthroughs in understanding the relationship between human and robotic motion.
With an innovative lab that uses motion-capture technology and the latest robotic platforms, RAD focuses on tackling the decision and control challenges in robotics, making systems that are easier for humans to relate to and use.
What is your most important project right now? I'm trying to understand in a very general way the capacity of robotic platforms for complex movement. I think it's less than we think. I'm working on an information theoretic description of moving platforms to demonstrate this to the robotics community.
For your dissertation, you choreographed a contemporary dance show called "Automaton" that featured four professional dancers in Atlanta who performed alongside a inch-tall white robot. What made you decide to move to Urbana?
It has a collegial intellectual community with world-class researchers and the chance to start a company in parallel with my research. My company, AE Machines, is working on software to enable flexible automation cells for small-batch processes in manufacturing.
You took ballet, tap and modern dance classes, and joined the Tennessee Children's Dance Ensemble and performed all over the world. Could you see yourself being professional dancer in your adult life?
Really, I am a professional in dance — I just do it through an unconventional post.
The students in my lab take movement classes with me and my collaborators; I work on artistic projects that interface with research outreach; and I train whenever I can: Did dancing teach you anything about physics or engineering?
That's a great question. There, the focus is on external, quantitative models, but that's only part of engineering, which engages with human movement, at some level, in every system we design or grand challenge we try to solve.
I'm working to bring qualitative and kinesthetic methods into these classrooms — with some success!
At Princeton University, you earned a certificate in dance and a bachelor's degree in mechanical and aerospace engineering. Was this the moment you had to switch your priorities? What moved you into robotics?
This was the moment I realized these "two" priorities were one and the same! My senior thesis at Princeton was in analyzing data of human movement to quantitatively compare different styles of motion.
Roboticists need to understand how to create complex patterns in robotic movement.Discover all stories John Allspaw clapped for on Medium. Currently building Adaptive Capacity Labs with @ri_cook & @ddwoods2 Former CTO, Dad. Author. Guitarist. Cognitive Systems Engineer.
This thesis present a definition for “style of motion” that is rooted in dance theory, a framework for stylistic motion generation that separates basic movement ordering from its precise trajectory, and an inverse optimal control method for extracting these stylistic parameters from real data.
When Amy LaViers was just 3, her mother and a group of parents in her tiny town in southeastern Kentucky collaborated to bring a dance teacher to the second floor of . Animal movement encodes information that is meaningfully interpreted by other natural systems, counterparts in the environment, and this is a behavior that roboticists are trying to replicate in artificial systems.
Yet, prevailing mathematical models for movement are continuous, e.g. Newton’s models, while those for information are discrete, e.g., Shannon’s models. The seven seniors — Stephanie Chen, Chelsea Kolff, Amy LaViers, Sarah Outhwaite, Julie Rubinger, Jennie Scholick and Elizabeth Schwall — have elected to do a creative thesis in dance in addition to projects in the departments in which they are majoring.
Bard Computer Science Program. Other Events Competitions. Consortium for Computing Science in Small Colleges.