Thanks Marcus from Blue Storm, Matej from Mechatronics Rescue Team, and
Graham from SART (off-list) for your update as to the states of your teams!
It sounds like there is (relatively) plenty of interest in an online
competition and that most teams have already ruled out travel. We are
still hoping to drum up domestic and regional interest.
So right now our plan is for a hybrid competition. Here are the
highlights, for those of you who weren't able to attend the pre-RoboCup
presentation on RMRC.
In-person competition - Best-in-Class and Championship awards:
- Qualification via TDM, tentatively due late Feb (although this year we
may be able to be a bit flexible about this until we reach some capacity
limit). This year it should include videos of a robot that you built,
completing at least two tests. This can be from as early as the previous
in-person competition. We realize this won't be final performance and
doesn't need to be your final robot. New teams can skip this requirement
and qualify on an exceptional TDM.
- Updated TDM, judged based on how well it helps another team learn
something useful, due 2 weeks prior to competition and used as a
- Preliminary in-person rounds run for the first few days as in 2019 -
individual lanes, fixed timer, slots selected in turn, etc.
- Preliminary scores, each test normalized to the best performance being
100 points as usual, are used to determine teams going into the finals.
Number of teams depends on where a split occurs in the scoring.
Preliminary scores in individual suites are used to determine
- Finals arena maze is built by the finalist teams out of the individual
test method pallets. One point for the robot traveling in each direction
across each pallet. There will be some 'surprise' terrains (like the
loose packing material in 2017). Number of runs depends on number of
teams and time available, best performance wins the championship.
Remote (online) competition - Best-in-Class awards only:
- *No* qualification TDM required although we highly encourage teams to
declare their interest on the mailing list or forum and post the details
normally in a TDM.
- Teams build their own test method pallets and record video as per
2021. Note that we will be a little more strict about how we want the
videos laid out this year. We will re-post instructions shortly.
- Teams upload uncut videos of their *best* run in each of the test
lanes (but must be with a single robot configuration) to a timestamped
video sharing site (e.g. Youtube), along with their team-declared score
for the run, and their Updated TDM as above. Deadline TBD but will
probably be a few weeks prior to the in-person competition.
- We all choose some videos to watch and attest to the team-declared
scores. Look for the best and for surprising performances - then read
the TDM to see how the team did it!
- The scores are tallied up and normalized as usual. The best teams
(number depends on looking for a split in the scores) qualify for the
- The remote finals are held in the week prior to the in-person and are
performed live, on video conference, each team receiving a limited
number of slots to perform in their chosen tests like for the in-person
- The remote finals scores in each suite can now be compared with the
in-person preliminaries for Best-in-Class awards.
We now need some more thoughts from folks. In particular:
- From teams we haven't heard from - can you please let us know if
you're going to be able to participate in the in-person or remote
(online) competition (or when you're going to make the decision if
there's uncertainty as to if you can get together as a team)?
- What do you think about this plan?
- For remote (online) teams, which of the 2019 test method lineup can
you build in your labs? As a reminder:
Terrains: Stepfield, Elevated Ramps, Sand, Gravel, Mulch. (We might
rethink the last 2 just because it might be hard for a school to get
standard versions of them.)
Maneuvering: Ramps, Pinwheel Ramps, Center, Align
Manipulator Dexterity Field: Pipestar (we might go to a scaled down
version of the 2021 Major tasks).
Sensing: Sensor panel, Mapping, QR terrains (we could do this in a
'lighter weight' manner and prescribe a course that could be built with
cardboard boxes and printed stickers, for instnace).
Dr. Raymond Sheh
Institute for Soft Matter Synthesis and Metrology
506 Reiss Science Building
37th and O Streets NW, Washington DC 20057, USA
Intelligent Systems Division
National Institute of Standards and Technology
U.S. Department of Commerce
100 Bureau Drive, Stop 8230, Gaithersburg MD 20899-8230, USA
Senior Lecturer (Adjunct)
Department of Computing
Curtin University of Technology
Street: Building 314, Kent Street, Bentley WA 6102, AUSTRALIA
Mail: GPO Box U1987, Perth WA 6845, AUSTRALIA