From a31a1eee222dbcb7dee44587155975f7de14d32f Mon Sep 17 00:00:00 2001 From: yewon-lee <68444609+yewon-lee@users.noreply.github.com> Date: Sat, 4 Nov 2023 03:41:50 -0400 Subject: [PATCH] Update index.md --- index.md | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/index.md b/index.md index 171f1de..1cd336f 100644 --- a/index.md +++ b/index.md @@ -4,10 +4,12 @@ layout: homepage ## About Me -I am a second year research-stream M.Sc. student in Computer Science at the University of Toronto, advised by Prof. [Florian Shkurti](http://www.cs.toronto.edu/~florian/) at the [Robot Vision and Learning Lab (RVL)](https://rvl.cs.toronto.edu/#/), (affilitations: [Robotics Institute](https://robotics.utoronto.ca/)). I am gratefully funded by the [Ontario Graduate Scholarship](https://osap.gov.on.ca/OSAPPortal/en/A-ZListofAid/PRDR019245.html), the [NSERC Canada Graduate Scholarship (Master's)](https://www.nserc-crsng.gc.ca/students-etudiants/pg-cs/cgsm-bescm_eng.asp), and the [DeepMind Fellowship](https://www.deepmind.com/education). +I am a second year research-stream M.Sc. student in Computer Science at the University of Toronto, supervised by [Florian Shkurti](http://www.cs.toronto.edu/~florian/) at the [Robot Vision and Learning Lab (RVL)](https://rvl.cs.toronto.edu/#/). I am interested in task and motion planning (TAMP) for robotics, grapsing, robot learning, and differentiable physics simulators. For my M.Sc. thesis, I am working on developing a differentiable TAMP algorithm using probabilistic inference and differentiable physics. My work is gratefully funded by the [Google DeepMind Fellowship](https://www.deepmind.com/education), [NSERC Canada Graduate Scholarship (Master's)](https://www.nserc-crsng.gc.ca/students-etudiants/pg-cs/cgsm-bescm_eng.asp), and [Ontario Graduate Scholarship](https://osap.gov.on.ca/OSAPPortal/en/A-ZListofAid/PRDR019245.html). -My research interest centeres around probabilistic algorithms for robot manipulation, specifically task and motion planning (TAMP). I am also very interested in the applications of differentiable physics simulators for robotics. Prior to pursuing my M.Sc., I conducted research on robot perception at RVL and Epson's robotics Research and Development team. My first exposure to research was with Profs. [David Zingg](http://goldfinger.utias.utoronto.ca/dwz/) and [Masayuki Yano](https://www.utias.utoronto.ca/ace/), where I worked on high-order numerical methods for partial differential equations. +Prior to starting my M.Sc., I completed my B.A.Sc. in [Engineering Science](https://engsci.utoronto.ca/program/what-is-engsci/) from the University of Toronto with a major in Aerospace Engineering and double minors in Robotics and AI. During this time, I also interned at Epson's robotics R&D team where I worked on computer vision algorithms. ## News -- [July 2023] Selected to attend RSS 2023 as an [Inclusion Fellow](https://sites.google.com/seas.upenn.edu/inclusion-rss-2023/program) +- [October 2023] My workshop paper on Differentiable TAMP was accepted to the [LEAP Workshop](https://leap-workshop.github.io) at CoRL 2023! +- [July 2023] Selected to attend Robotics: Science and Systems 2023 as an [Inclusion Fellow](https://sites.google.com/seas.upenn.edu/inclusion-rss-2023/program) - [July 2023] Received the Ontario Graduate Scholarship +