Associate Professor and Research Manager
Carnegie Mellon University & Facebook AI Research (FAIR)
NASA Jet Propulsion Laboratory
MIT Media Lab
Co-Founder and CTO
Carnegie Mellon University
Robotics Institute, CMU
Senior Research Scientist/Research Scientist
Nvidia AI Research Lab/Stanford AI Lab
Uber AI Labs
Senior Machine Learning Scientist
Uber AI Labs
Assistant Professor/Research Scientist
Georgia Institute of Technology/Facebook AI Research (FAIR)
UC Berkeley researchers have developed algorithms that enable robots to learn motor tasks through trial and error using a process that more closely approximates the way humans learn, marking a major milestone in the field of artificial intelligence.Read More
Facebook has hired five top university professors in the US and the UK as part of an effort to strengthen its artificial intelligence research division.Read More
As part of an effort to explore ways for humans and robots to work together more naturally and effectively, a team of researchers at Brown University has developed a robot that measures its own confusion and then asks for help if it feels it needs it.Read More
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.Read More
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 skillsRead More
Discover advances in deep learning for robotics from leading influencers across research & industry. Learn from experts in reinforcement learning, computer vision, progressive NNs, autonomous learning, human-robotic interaction, imitation learning and much more.
Deep Learning advancements, plus robotic manufacturer innovations will create the next generation of skilled robots impacting our world & increasing automation & efficiency. How can DL help write pioneering robot software and enable new mastery of skills and behavior?
A unique opportunity to interact with industry leaders, engineers & research scientists leading advancements in deep learning for robotics. Learn from & connect with 200+ innovators sharing breakthrough research to create new frameworks for writing robot software.