Visual Learning and Reasoning for Robotics


Full-day workshop at RSS 2021

Virtual Conference

July 13, 2021, Pacific Time (PT)


Welcome! This workshop includes three live events:
  • Invited Talks (25 min talk + 5 min Q&A)
  • Spotlight Talks (6 × 5 min pre-recorded videos)
  • Panel Discussion (60 min)

Tentative Schedule


Time (PT) Invited Speaker Title
10:15 - 10:30 -
Opening Remarks
| Video |
10:30 - 11:00

Andrew Davison
Imperial College London
TBD
| Video |
11:00 - 11:30

Raquel Urtasun
University of Toronto / Uber
TBD
| Video |
11:30 - 12:00 Spotlight Talks
+
Q&A
12:00 - 12:30

Abhinav Gupta
CMU / Facebook AI Research
TBD
| Video |
12:30 - 1:00

Shuran Song
Columbia University
TBD
| Video |
1:00 - 2:30 - Break
2:30 - 3:00

Saurabh Gupta
UIUC
TBD
| Video |
3:00 - 3:30

Sergey Levine
UC Berkeley
TBD
| Video |
3:30 - 4:00 Spotlight Talks
+
Q&A
4:00 - 5:00

Greg Dudek (Moderator)
McGill University / Samsung
+
Invited Speakers
Panel Discussion
| Video |

Introduction


Visual perception is essential for achieving robot autonomy in the real world. To perform complex manipulation tasks in unknown environments, a robot needs to actively acquire knowledge through physical interactions and conduct sophisticated reasoning of the observed objects. This invites a series of research challenges in developing computational tools to close the perception-action loop. Given the recent advances in computer vision and deep learning, we look for new potential solutions for performing real-world robotic manipulation in an effective and computationally efficient manner.

We focus on the two parallel themes in this workshop:

Call for Papers


We're inviting submissions! If you're interested in (remotely) presenting a spotlight talk, please submit a short paper (or extended abstract) to CMT. We suggest extended abstracts of 2 pages in the RSS format. A maximum of 4 pages will be considered. References will not count towards the page limit. The review process is double-blind. Significant overlap with work submitted to other venues is acceptable, but it must be explicitly stated at the time of submission.

Important Dates:

Organizers




Kuan Fang
Stanford University


David Held
CMU


Yuke Zhu
UT Austin / NVIDIA


Dinesh Jayaraman
Univ. of Pennsylvania


Animesh Garg
Univ. of Toronto / NVIDIA


Lin Sun
Magic Leap


Yu Xiang
NVIDIA


Greg Dudek
McGill / Samsung

Past Workshops


Contact


For further information, please contact us at rssvlrr [AT] gmail [DOT] com