05-08-2014, 13:25
|
 |
no bag, vex only, final destination
AKA: Pinecone
 FRC #0228 (GUS Robotics); FRC #2170 (Titanium Tomahawks) Team Role: Mentor
|
|
Join Date: Dec 2008
Rookie Year: 2006
Location: Glastonbury, CT
Posts: 7,718
|
|
|
Re: paper: Adaptable Deadband with Perceptrons
If I understand this correctly, this would change the response of the joysticks in real time (i.e. throughout a match)? I feel like this, while very cool, wouldn't be optimal simply because the same input at different times would produce different results. Practicing maneuvers and getting them to the point where you just use muscle memory to drive the robot would be pretty much impossible.
__________________
Mentor / Drive Coach: 228 (2016-?)
...2016 Waterbury SFs (with 3314, 3719), RIDE #2 Seed / Winners (with 1058, 6153), Carver QFs (with 503, 359, 4607)
Mentor / Consultant Person: 2170 (2017-?)
---
College Mentor: 2791 (2010-2015)
...2015 TVR Motorola Quality, FLR GM Industrial Design
...2014 FLR Motorola Quality / SFs (with 341, 4930)
...2013 BAE Motorola Quality, WPI Regional #1 Seed / Delphi Excellence in Engineering / Finalists (with 20, 3182)
...2012 BAE Imagery / Finalists (with 1519, 885), CT Xerox Creativity / SFs (with 2168, 118)
Student: 1714 (2009) - 2009 Minnesota 10,000 Lakes Regional Winners (with 2826, 2470)
2791 Build Season Photo Gallery - Look here for mechanism photos My Robotics Blog (Updated April 11 2014)
|