Collated muscles into clusters for actuation
Encapsulated sine wave actuation, exact control mechanism not finalized
Initial controller implemented. The robot is capable of escaping the given ditch through a 'jumping' motion.
Incorporates ./logs/ linking
Parameters tuned to Monte Carlo
Incorporate clustering for 'triangle' actuation. This decreases the search space for Machine Learning trials
Explicitly includes string history in the muscle config (for energy spent calculations). String history is set to 'true' by default (records)
Reorganized sine wave code
Changed config values to allow for larger variety in cluster actuation between episodes
Correctly integrates Config.ini parameters into sine wave generation (for cluster actuation)
Added distance tracking to models
Changed to properly track non-vertical distance
Moved starting position of model to avoid false distance traveled
Added logical limits to string length
Added boost chrono test
Merge branch 'master' of https://github.com/NASA-Tensegrity-Robotics-Toolkit/NTRTsim
Increased ground size to avoid tensegrities falling off edge (happened 2/34000 times)
Added python script that prints first value of every trial
Replaced script that filters out best trials
Minor edits