Associate Professor and Research Manager
Carnegie Mellon University & Facebook AI Research (FAIR)
NASA Jet Propulsion Laboratory
Postdoctoral Researcher in Robotics and Deep Learning
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
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
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.