It is a research group under the Stanford Vision & Learning Lab that focuses on developing methods and mechanisms for generalizable robot perception and control.
We work on challenging open problems at the intersection of computer vision, machine learning, and robotics. We develop algorithms and systems that unify in reinforcement learning, control theoretic modeling, and 2D/3D visual scene understanding to teach robots to perceive and to interact with the physical world.
The Rapide™ Language effort focuses on developing a new technology for building large-scale, distributed multi-language systems. This technology is based upon a new generation of computer languages, called Executable Architecture Definition Languages (EADLs), and an innovative toolset supporting the use of EADLs in evolutionary development and rigorous analysis of large-scale systems.
Partner at Cambrian Ventures, which combines elements of a venture capital firm and a technology research lab. I'm also a Consulting Asst Professor at the Computer Science Department at Stanford University.