Research
Developing efficient algorithms that power faster, smarter, and more reliable computing across diverse applications.
I will present the main algorithms to achieve robust, 6-DOF, state estimation for mobile robots using passive sensing. Since cameras alone are not robust enough to high-speed motion and high-dynamic range scenes, I will describe…
In this work, we propose to apply trust region optimization to deep reinforcement learning using a recently proposed Kronecker-factored approximation to the curvature. We extend the framework of natural policy gradient and propose to optimize…
Project Prague is a cutting-edge, easy-to-use SDK that creates more intuitive and natural experiences by allowing users to control and interact with technologies through hand gestures. Based on extensive research, it equips developers and UX…
Breakthroughs in Artificial Intelligence (AI) have typically shown that AI systems are good at solving specific tasks that have a well-defined goal, such as Speech Recognition, Image Captioning, Games like Poker/Go/Jeopardy, among others. However, as…
In Bayesian analysis, the posterior follows from the data and a choice of a prior and a likelihood. These choices may be somewhat subjective and reasonably vary over some range. Thus, we wish to measure…
