Where AI meets the real world. Improving robotics via deep learning & creating the next generation of smart robots.

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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.

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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.

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Why Attend

Speakers

Extraordinary Speakers

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.

Tech

Discover Emerging Trends

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?

Network

Expand Your Network

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.

Who

Who Should Attend

  • Lead Software Engineer
  • Chief Engineer
  • Robot Programmer
  • Founders
  • Director of Engineering
  • Robotic Technicians
  • Research Scientist
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Join the discussion

  • 30 speakers
  • 200 leading technologists & innovators
  • Group brainstorming sessions
  • Interactive workshops
  • 7+ hours of networking
  • Access to all the filmed presentations
  • Discover how to harness AI for your industry
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Topics we cover

Machine Learning
Machine Learning
Computer Vision
Computer Vision
Reinforcement Learning
Reinforcement Learning
Progressive Neural Networks
Progressive Neural Networks
Imitation Learning
Imitation Learning
Human-Robot Interaction
Human-Robot Interaction
Robotic Grasping
Robotic Grasping
End-to-End Process
End-to-End Process

Regular Attendees include:

Stanford University
ABB
Sealed Air Corporation
Beckhoff Automation
UC Berkeley
Caterpillar
Nissan
Comcast Ventures
PepsiCo
CloudMinds Technologies
Nira Dynamics
Drive Capital
Google
Q-Bot
ReachRobotics
iRobot
Rethink Robotics
Mitsubishi Electric
facebook
Uber
Emotech

previous partners include:

Media Partners & Press

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