Vision Driving Robotics
By Anelia Angelova
From roving Mars to factory automation and rescue missions, robots have already made extremely valuable contributions. In coming years, robots will address even more sophisticated tasks in our daily lives (autonomous vehicles, delivery drones, or home chefs?). I will discuss the role of vision to the field of robotics and how it has shifted and greatly expanded the capabilities of robotics today. We will look into new headway made in vision-based learning for robotics, particularly learning by moving, learning from interactions with the environment, learning with limited supervision, and the role of simulations. I will also highlight more practical and relevant approaches that are designed for onboard deployment.
Anelia is a research scientist in the area of computer vision. She leads the Robot Vision research team in Brain Robotics at Google Brain. Her most recent research focuses on deep learning for robotics perception, including semantic and 3D scene understanding and real-time algorithms for pedestrian detection and robot grasp localization. She has integrated her work in production systems, including the first deep neural network models running onboard Google's self-driving car, now Waymo. Anelia received her MS and PhD in Computer Science from Caltech.
Price increases to $22 because of Baylands.
$5.00 for those not eating the buffet (Please state “not eating” after your name when you register)