Deep learning: Creating the next generation of smart robots

Deep Learning for Robotics Summit
28th to 29th June • San Francisco

Join RE•WORK later this month to discover the latest advancements in AI and robotics at the Deep Learning for Robotics Summit.

Global experts will explore where AI meets the real world through human-robot interaction, imitation learning, skill embedding, robot perception, progressive neural networks, robotic grasping and many other areas.

We are offering an exclusive discount for Robotics and Automation News readers: Use code RA20 for 20% off your ticket.

What to expect at the summit

2 days of presentations and discussions
60 speakers
500+ attendees
Interactive workshops
Exhibition hall access
7 + hours of networking
Breakfast, lunch, and refreshments

Recent results in the fields of deep learning and reinforcement learning have ignited immense interest in the possible applications for robotics.

However, there are several areas where robots are still falling short.

Derik Pridmore, CEO of Osaro, explains: “Humans are able to learn new skills from interactions and experiences in the real world.

“Whilst AI has already beaten the best human player at Go, and achieved superhuman performance in many video games, current AI systems using advanced DL techniques still can’t accurately navigate a car in the real world, even with millions of miles of driving data.

“A human, in this instance, would not need significant experience – humans learn new skills using a commonsense understanding of physical objects and intentional agents.”

‘Current AI systems using advanced DL techniques still can’t accurately navigate a car in the real world, even with millions of miles of driving data’

Osaro is a machine learning company building products powered by deep reinforcement learning, and at the Deep Learning for Robotics Summit, Derik will discuss the most recent advances in this space and the current state of industrial robotics.

Drew Volpe, from First Star Ventures, who attended the Deep Learning Summit, San Francisco, in 2017, said: “The Deep Learning Summit brought together a fantastic collection of people from diverse areas of the field, from both academia and industry, with a balance of both technical and industry-focused backgrounds.”

The event is co-located with the AI in Industrial Automation Summit giving attendees full access to two tracks of presentations and the opportunity to explore a broader range of topics.

This is a unique opportunity to interact with industry leaders working in both Robotics and Manufacturing. Learn from and connect with 500+ innovators sharing best practices to advance deep learning in robotics.

Both summits bring together industry and academia to share their knowledge and expertise, and presenting her work in Semantic Understanding for Robot Perception is Jana Kosecka, Professor and visiting research scientist at the George Mason University and Google.

Kosecka explains how ‘advancements in robotic navigation and fetch and delivery tasks rest to a large extent on robust, efficient and scalable semantic understanding of the surrounding environment.

Deep learning fueled rapid progress in computer vision in object category recognition, localization and semantic segmentation, exploiting large amounts of labelled data and using mostly static images.

Kosecka said: “There are both challenges and opportunities in tackling these problems in indoors and outdoors environments relevant to robotics applications.

“These include methods for semantic segmentation and 3D structure recovery using deep convolutional neural networks (CNNs), localization and mapping of large-scale environments, training object instance detectors using synthetically generated training data and 3D object pose recovery.”

Interactive sessions

Workshops
Roundtable Discussions
Q&As Following All Presentations
Panel Discussions
Fireside Chats
Robot Corner
Talent & Talks

Additional confirmed speakers across both tracks include:

Josh Tobin from OpenAI sharing his work on synthetic data for robotics perception and control;
Pierre Sermanet from Google Brain discussing self-supervised imitation;
Alicia Kavelaars, Co-Founder and CTO at OffWorld who will be discussing an Industrial AI Revolution in Space;
Yibiao Zhao, Co-Founder and CEO of iSee talking about Engineering Common Sense;
Animesh Gard, Postdoc Researcher in Robotics and DL at Stanford University who will be discussing his research in Generalizable Limitation in Robotics; and
many more.

Companies attending include