Alfred P. Sloan Fellow and Microsoft Faculty Fellow.
Director, RoboBrain project, Cornell University and Stanford University.
asaxena at cs.stanford dot edu
Research Interests: Machine Learning, Robotics, Computer Vision.
Hallucinating Humans: Learning Infinite Latent CRFs for 3D Perception and Mobile Manipulation.
Deep Learning for Robotics Perception and Control.
Learning and Sharing Knowledge for Robots: RoboBrain, PlanIt and Brain4Cars
RoboBarista: Learning Maniplation Skills from Videos. The 50-years of Shakey at AAAI-RSS Blue Sky Ideas award, 2015.
Large-Scale Knowledge Engine for Robots. Now Co-founder & CTO at Predict Effect.
Robot Manipulation. Doug James' PhD student in graphics, now assistant professor at Columbia University.
Large-scale video mining for RoboBrain.
Tell Me Dave: Large-scale crowdsourcing for learning robot language.
Large-scale computer vision with Cascaded Classification Models. And aesthetics (with Prof. Tsuhan Chen)
3D Scene Understanding with Physics.