Rika
contactrika
Data-efficient Autonomous Learning (reinforcement learning, sim-to-real transfer, active learning, robotics)
Stanford San Francisco, CA
Keanu Nichols
kmn5409
Currently a PhD student at Boston University interested in Machine Learning with a focus in Computer Vision
Trinidad and Tobago
Joe Pea
trusktr
Crafting interfaces between humans and machines. Worked: SpaceX, @nasa, Velodyne Lidar, IMVU
Los Angeles, CA, USA, Earth
Rachel Sleeter
rsleeter0710
Rachel Sleeter develops spatial and statistical methods for data integration and model parameterization. Areas of focus: landscape ecology and carbon accounting
@USGS Gig Harbor, Washington
Holly Dinkel
hollydinkel
Aerospace Engineering Ph.D. Candidate at UIUC and NASA Robotics Fellow. I lead the @RMDLO project.
@RMDLO Urbana, IL
Andrew Symington
asymingt
I work on perception pipelines and supporting test infrastructure that helps companies to deploy and upgrade robots confidently in the field.
Intrinsic Innovation California, US