[AI Seminar] Online AI Seminar on April 21 (Zoom) -- Animesh Garg -- Generalizable Autonomy in Robotics. AI seminar is sponsored by Fortive.

[Aayush Bansal]

Reminder.. this is tomorrow at noon.

Zoom Link: *https://cmu.zoom.us/j/262225154
<https://cmu.zoom.us/j/262225154>*


On Thu, Apr 16, 2020 at 7:55 AM Aayush Bansal <aayushb at cs.cmu.edu> wrote:

> Animesh Garg (University of Toronto) will be giving an online seminar on "Generalizable
> Autonomy in Robotics" from *12:00 - 01:00 PM* on April 21.
>
> Zoom Link: *https://cmu.zoom.us/j/262225154
> <https://cmu.zoom.us/j/262225154>*
>
> CMU AI Seminar is sponsored by Fortive.
>
> Following are the details of the talk:
>
> *Title: *Generalizable Autonomy in Robotics
>
> *Abstract: *Data-driven methods in Robotics circumvent hand-tuned feature
> engineering, albeit lack guarantees and often incur a massive computational
> expense. My research aims to bridge this gap and enable generalizable
> imitation for robot autonomy. We need to build systems that can capture
> semantic task structures that promote sample efficiency and can generalize
> to new task instances across visual, dynamical or semantic variations. And
> this involves designing algorithms that unify learning with perception,
> control, and planning. In this talk, I will show how inductive biases and
> priors help with Generalizable Autonomy. First I will talk about the choice
> of action representations in RL and imitation from ensembles of suboptimal
> supervisors. Then I will talk about latent variable models in
> self-supervised learning. Finally, I will talk about meta-learning for
> multi-task learning and data gathering in robotics.
>
> *Bio*: Animesh Garg is a CIFAR AI Chair Assistant Professor at the
> University of Toronto and Vector Institute. He is also a Senior Research
> Scientist at Nvidia. His research interests focus on the intersection of
> Learning and Perception in Robot Manipulation. He works on efficient
> generalization in large scale imitation learning. Animesh works on the
> applications of robot manipulation in surgery and manufacturing as well as
> personal robotics. Previously, Animesh received his Ph.D. from the
> University of California, Berkeley and a postdoc at Stanford AI Labs. His
> work has won multiple best paper awards and nominations including ICRA
> 2019, ICRA 2015 and IROS 2019, among others and has also featured in press
> outlets such as New York Times, BBC, and Wired.
>
> *Animesh is available for one-on-one (virtual) meetings on April 21.
> Please send me an email if you would like to schedule a meeting with him.*
>
>
> To learn more about the seminar series, please visit the website:
> http://www.cs.cmu.edu/~aiseminar/
>
> --
> Aayush Bansal
> http://www.cs.cmu.edu/~aayushb/
>
>

-- 
Aayush Bansal
http://www.cs.cmu.edu/~aayushb/
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