RSS 2020 Proposed Workshop

Task Representations for Manipulation under Uncertainty

July 12-13, 2020 | Corvallis, OR, USA


Description

For robots to operate in unstructured environments, they must confront two main challenges: 1) variations across task instances and environments, and 2) uncertainty arising from unobserved states and unmodelled artifacts. For example, task instances vary from pick and place, operating articulated objects, to using tools and deformable objects to accomplish a task. An example of uncertainty consider includes partial to completely unobserved states. The key question that will be discussed in this workshop is What is a task representation for robot manipulation, that is general to objects, task instances and accommodates uncertainty?.

Various communities have proposed competing representations toward specific objectives: latent feature representations for robot control, symbolic representations for task planning, or metric representations for localization and motion planning. For example, Planning Domain Definition Language (PDDL) is a common representation for task planning. PDDL’s predefined symbols and structures are easily explainable and widely adopted. However, representing uncertainty and continuous values in PDDLs is not straightforward, and limits applicability. As another example, the rewards in RL can be thought of as a task representation, with its own weakness in terms of interpretability and data efficiency.

This workshop aims to bring researchers from different domains (perception, planning, knowledge representation, and machine learning) for a discussion. The goal is to formalize the effectiveness of a task representation in the face of uncertainty, arrive at a set of critical challenges, and spark discussions towards common task-representations that will benefit the robotics community.


Submissions

We solicit 3 page extended abstracts (page counts do not include references). On acceptance, the camera ready version can be a full paper upto 6 pages (excluding references). Submissions can include original research, position papers, and literature reviews that bridge the research areas for this workshop. Submissions will be externally reviewed, and selected based on technical content and ability to positively contribute to the workshop. All accepted contributions will be presented in interactive poster sessions. A subset of accepted contributions will be featured in the workshop as spotlight presentations.

The following list contains some areas of interest, but work in other areas is also welcomed:

  • Task representations across sense, plan, and control areas
  • Task representations with explicit uncertainty
  • Task representations in object grasping and manipulation
  • Task representations in navigation and mobile manipulation
  • Reusable / scalable / transferable task representation
  • Dynamic task representations
  • Knowledge representation and reasoning
  • Representation learning
  • Interactive perception
  • Task and motion planning (TAMP)
  • Learning from demonstration
  • Hierarchical / multi task representations
  • Methodologies for task assessment

We will accept papers in the official IEEE templates (LaTeX and Word). Submissions must meet page restrictions (maximum of 3 pages for extended abstracts and 6 pages for full papers), but can include additional pages as long as those pages only contain references. Reviewing will not be double blind. Please do not anonymize the submission.

Papers and abstracts should be submitted through the following link: TBD.


Important Dates

(deadlines are "anywhere on earth")

March 12
Workshops call for contributions
April 9
Extended abstract submission deadline
April 30
Notification of acceptance
May 31
Camera ready deadline for full paper
Jul 12 or 1mi3
Workshop

Location

Workshop: TBD

Poster: TBD


Presentations

All accepted contributions will be presented in interactive poster sessions. We strongly recommend adhering to the following poster size:

Potrait configuration: 32 inch (width) x (40 inch height)

We derived this size from the following data. Each poster stand has a usable area of 74 inch (width) x 38 inch (height). This area will be split among two posters appearing side by side. Unfortunately, RSS organizers have notified us of limited availability of stands and space. Hence we kindly urge the presenters to adhere to the specified dimensions.

Note that the poster session will take place in a different room from the main workshop. This room is available from 2.00 p.m to 7.00 p.m. The presenters should setup soon after lunch and be near their stands. Please check the schedule for the room number and the timings.

Contributions selected for spotlight presentations should prepare a 5 minute talk. This will be followed by 1 minute of audience questions. During this time the next presenter should set up. All presenters should check in during the first coffee break and verify display settings. Please check the schedule for the presentation order.


Program

Location

Workshop: TBD

Poster: TBD

Time Topic Speaker
08:45 - 09:00am Introduction TBD
09:00 - 09:30am TBD TBD
09:30 - 10:00am TBD TBD
10:00 - 10:30am Coffee break
10:30 - 11:00am TBD TBD
11:00 - 11:30am TBD TBD
11:30 - 12:00am TBD TBD
12:00 - 13:00pm Spotlight Talks I (Perception, Learning)
13:00 - 14:00pm Lunch
14:00 - 14:30pm TBD TBD
14:30 - 15:00pm TBD TBD
15:00 - 15:30pm TBD TBD
15:30 - 16:00pm Spotlight Talks II (Planning, etc) + Poster Session
16:00 - 16:30pm Poster Session
16:30 - 17:00pm TBD TBD
17:00 - 17:30pm TBD TBD
17:30 - 18:30pm Panel Discussions All Invited Speakers

Tentatively accepted speakers

TBD

Jeannette Bohg, Stanford University

TBD

Dieter Fox, University of Washington

TBD

Karol Hausman, Google Brain

TBD

Tucker Hermans, University of Utah

TBD

Leslie Pack Kaelbling, Massachusetts Institute of Technology

TBD

Scott Niekum , University of Texas at Austin

TBD

Shuran Song, Columbia University

TBD

Stefanie Tellex, Brown University



Organizers

Organizing Committee

karthik

Karthik Desingh

University of Michigan

          daehyung

Daehyung Park

Massachusetts Institute of Technology

rmm

Roberto Martin Martin

Stanford University

          jake

Jake Varley

Robotics at Google

choudhury

Sanjiban Choudhury

University of Washington