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
| Video |
11:00 - 11:30

Raquel Urtasun
University of Toronto / Uber
| Video |
11:30 - 12:00 Spotlight Talks
12:00 - 12:30

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

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

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

Sergey Levine
UC Berkeley
| Video |
3:30 - 4:00 Spotlight Talks
4:00 - 5:00

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


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:


Kuan Fang
Stanford University

David Held

Yuke Zhu
UT Austin / NVIDIA

Dinesh Jayaraman
Univ. of Pennsylvania

Animesh Garg
Univ. of Toronto / NVIDIA

Lin Sun
Magic Leap

Yu Xiang

Greg Dudek
McGill / Samsung

Past Workshops


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