Organizers: Andrea Censi (MIT), Dylan Shell (Texas A&M), Jason O'Kane (South Carolina), Hadas Kress-Gazit (Cornell), Alexandra Nilles (UIUC)
Most fields of engineering are characterized by fundamental trade-offs between maximizing performance and minimizing resource usage; robotics is no exception. In robot design, trade-offs are distributed among subsystems such as sensing, actuation, computation, and power. A mathematical framework to describe these trade-offs does not yet exist.
The speakers and discussions in this workshop will focus on working toward formal representations that make automated reasoning and synthesis possible, and enable design choices beyond once-off, ad hoc solutions.
The workshop brings together roboticists with a variety of backgrounds to start to answer the question:
"How can computers and software help us navigate the space of design decisions?"
The workshop includes both invited speakers and a call for presenters who:
can share practical examples of resource-constrained robots and their performance envelopes;
are exploring abstractions and models which have promise as foundations for algorithmic design;
have novel and unconventional ideas for how to tame the computational complexities involved.
The intended outcome of the workshop is a better understanding of how informal design decisions, including those exemplified in a custom design card game — played and discussed after lunch — can be refined and systematized so as to become fit for automation.
See here for the predecessor of this workshop at RSS 2016.
The Robot Design Game, a game developed for RSS 2016 which seeks to explore the tradeoffs in resource constraints inherent in robot design problems. The game is based loosely on the Iron Chef.