Deep Learning for Robotics Summit
San Francisco

Josh and the team at OpenAI created a robotics system, trained in simulation and deployed on a physical robot, which can learn a new task after seeing it done once. Read more on this work and the incredible projects OpenAI are working on to improve robotic skills

Improving neural networks not through teaching, but through evolution—is revealing its potential. Five new papers from Uber in San Francisco, California, demonstrate the power of so-called neuroevolution to play video games, solve mazes, and even make a simulated robot walk.

Animesh's current research focuses on machine learning algorithms for perception and control in robotics. Animesh is specifically interested in enabling efficient imitation in robot learning and human-robot interaction.

In particular, Jana is interested in 'seeing' systems engaged in autonomous tasks, acquisition of static and dynamic models of environments by means of visual sensing, object recognition and human-computer interaction.

Currently the iSee team is working on a full-stack solution for a vehicle to drive in a complex environment. In order to be safely in motion, a vehicle needs to predict the future extensively, even in unfamiliar situations, in order to avoid risk and harm. iSee has enabled the new AI thanks to deep learning, but it goes beyond this.

Karol's research interests lie in active state estimation, control generation and machine learning for robotics. Karol investigates interactive perception, by which robots use their manipulation capabilities to gain the most useful perceptual information to model the world and inform intelligent decision making.

Folia Water is supported by 500 Startups, an early-stage venture fund and seed-stage accelerator that is based in Silicon Valley, but makes investments all over the world based on its mission to promote entrepreneurs from diverse backgrounds. Its 500 Seed Program brings startup founders together for four months, where they work on areas such as business strategy, user testing, and growth.