Learn About Our Meetup

5000+ Members



Join our meetup, learn, connect, share, and get to know your Toronto AI community. 



Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.



Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[R] Learning to Generate Human–Object Interactions – Stanford AI Lab

Tremendous progress has been made in the last few years in developing advanced virtual reality (VR) and robotics platforms. As the examples above show, these platforms now allow us to experience more immersive virtual worlds, or allow robots to perform challenging locomotion tasks like walking in snow. So, can we soon expect to have robots that can set the dinner table or do our dishes?

Unfortunately, we are not yet there.

To understand why, consider the diversity of interactions in daily human life. We spend almost all of our waking hours performing activities—simple actions like picking up a fruit or more complex ones like cooking a meal. These physical interactions, called human–object interactions, are multi-stepped and governed by physics as well as human goals, customs, and biomechanics. In order to develop more dynamic virtual worlds, and smarter robots, we need to teach machines to capture, understand, and replicate these interactions. The information we need to learn these interactions is already widely available in the form of large video collections (e.g., YouTube, Netflix, Facebook).

In this post, I will describe some first steps we have taken towards learning multi-step human–object interactions from videos. I will discuss two applications of our method: (1) generating plausible and novel human-object interaction animations suitable for VR/AR, (2) enabling robots to react smartly to user behavior and interactions.

submitted by /u/Bayequentist
[link] [comments]

Next Meetup




Plug yourself into AI and don't miss a beat


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.