37 #include "examples/learningSpines/tgCPGCableControl.h"
46 #include "examples/learningSpines/tgCPGCableControl.h"
48 #include "neuralNet/Neural Network v2/neuralNetwork.h"
50 #include <json/json.h>
85 lp, hp, kt, kp, kv, def, cl, lf, hf),
86 freqFeedbackMin(ffMin),
87 freqFeedbackMax(ffMax),
88 ampFeedbackMin(afMin),
89 ampFeedbackMax(afMax),
90 phaseFeedbackMin(pfMin),
91 phaseFeedbackMax(pfMax)
102 std::string resourcePath) :
110 JSONFeedbackControl::~JSONFeedbackControl()
122 bool parsingSuccessful = reader.parse( FileHelpers::getFileString(controlFilename.c_str()), root );
123 if ( !parsingSuccessful )
126 std::cout <<
"Failed to parse configuration\n"
127 << reader.getFormattedErrorMessages();
128 throw std::invalid_argument(
"Bad filename for JSON");
132 Json::Value nodeVals = root.get(
"nodeVals",
"UTF-8");
133 Json::Value edgeVals = root.get(
"edgeVals",
"UTF-8");
135 std::cout << nodeVals << std::endl;
137 nodeVals = nodeVals.get(
"params",
"UTF-8");
138 edgeVals = edgeVals.get(
"params",
"UTF-8");
141 array_2D nodeParams = scaleNodeActions(nodeVals);
143 setupCPGs(subject, nodeParams, edgeParams);
145 Json::Value feedbackParams = root.get(
"feedbackVals",
"UTF-8");
146 feedbackParams = feedbackParams.get(
"params",
"UTF-8");
149 m_config.numStates = feedbackParams.get(
"numStates",
"UTF-8").asInt();
150 m_config.numActions = feedbackParams.get(
"numActions",
"UTF-8").asInt();
153 std::string nnFile = controlFilePath + feedbackParams.get(
"neuralFilename",
"UTF-8").asString();
155 nn =
new neuralNetwork(m_config.numStates, m_config.numStates*2, m_config.numActions);
157 nn->loadWeights(nnFile.c_str());
159 initConditions = subject.getSegmentCOM(m_config.segmentNumber);
160 for (
int i = 0; i < initConditions.size(); i++)
162 std::cout << initConditions[i] <<
" ";
164 std::cout << std::endl;
165 #ifdef LOGGING // Conditional compile for data logging
166 m_dataObserver.
onSetup(subject);
169 #if (0) // Conditional Compile for debug info
170 std::cout << *m_pCPGSys << std::endl;
179 if (m_updateTime >= m_config.controlTime)
182 std::vector<double> desComs = getFeedback(subject);
185 std::size_t numControllers = subject.getNumberofMuslces() * 3;
187 double descendingCommand = 0.0;
188 std::vector<double> desComs (numControllers, descendingCommand);
192 m_pCPGSys->
update(desComs, m_updateTime);
194 catch (std::runtime_error& e)
201 #ifdef LOGGING // Conditional compile for data logging
202 m_dataObserver.
onStep(subject, m_updateTime);
208 double currentHeight = subject.getSegmentCOM(m_config.segmentNumber)[1];
211 if (currentHeight > 25 || currentHeight < 1.0)
215 throw std::runtime_error(
"Height out of range");
224 std::vector<double> finalConditions = subject.getSegmentCOM(m_config.segmentNumber);
226 const double newX = finalConditions[0];
227 const double newZ = finalConditions[2];
228 const double oldX = initConditions[0];
229 const double oldZ = initConditions[2];
231 const double distanceMoved = sqrt((newX-oldX) * (newX-oldX) +
232 (newZ-oldZ) * (newZ-oldZ));
236 scores.push_back(-1.0);
240 scores.push_back(distanceMoved);
245 double totalEnergySpent=0;
247 std::vector<tgSpringCableActuator* > tmpStrings = subject.getAllMuscles();
249 for(std::size_t i=0; i<tmpStrings.size(); i++)
256 const double previousLength = stringHist.
restLengths[j-1];
257 const double currentLength = stringHist.
restLengths[j];
259 double motorSpeed = (currentLength-previousLength);
262 const double workDone = previousTension * motorSpeed;
263 totalEnergySpent += workDone;
267 scores.push_back(totalEnergySpent);
269 std::cout <<
"Dist travelled " << scores[0] << std::endl;
274 bool parsingSuccessful = reader.parse( FileHelpers::getFileString(controlFilename.c_str()), root );
275 if ( !parsingSuccessful )
278 std::cout <<
"Failed to parse configuration\n"
279 << reader.getFormattedErrorMessages();
280 throw std::invalid_argument(
"Bad filename for JSON");
283 Json::Value prevScores = root.get(
"scores", Json::nullValue);
285 Json::Value subScores;
286 subScores[
"distance"] = scores[0];
287 subScores[
"energy"] = totalEnergySpent;
289 prevScores.append(subScores);
290 root[
"scores"] = prevScores;
293 payloadLog.open(controlFilename.c_str(),ofstream::out);
295 payloadLog << root << std::endl;
300 for(
size_t i = 0; i < m_allControllers.size(); i++)
302 delete m_allControllers[i];
304 m_allControllers.clear();
307 void JSONFeedbackControl::setupCPGs(
BaseSpineModelLearning& subject, array_2D nodeActions, array_4D edgeActions)
310 std::vector <tgSpringCableActuator*> allMuscles = subject.getAllMuscles();
312 CPGEquationsFB& m_CPGFBSys = *(tgCast::cast<CPGEquations, CPGEquationsFB>(m_pCPGSys));
314 for (std::size_t i = 0; i < allMuscles.size(); i++)
320 allMuscles[i]->attach(pStringControl);
325 m_allControllers.push_back(pStringControl);
329 for (std::size_t i = 0; i < m_allControllers.size(); i++)
332 assert(pStringInfo != NULL);
339 if (m_config.useDefault)
341 pStringInfo->setupControl(*p_ipc);
345 pStringInfo->setupControl(*p_ipc, m_config.controlLength);
351 array_2D JSONFeedbackControl::scaleNodeActions (Json::Value actions)
353 std::size_t numControllers = actions.size();
354 std::size_t numActions = actions[0].size();
356 array_2D nodeActions(boost::extents[numControllers][numActions]);
358 array_2D limits(boost::extents[2][numActions]);
361 assert(numActions == 5);
363 limits[0][0] = m_config.lowFreq;
364 limits[1][0] = m_config.highFreq;
365 limits[0][1] = m_config.lowAmp;
366 limits[1][1] = m_config.highAmp;
367 limits[0][2] = m_config.freqFeedbackMin;
368 limits[1][2] = m_config.freqFeedbackMax;
369 limits[0][3] = m_config.ampFeedbackMin;
370 limits[1][3] = m_config.ampFeedbackMax;
371 limits[0][4] = m_config.phaseFeedbackMin;
372 limits[1][4] = m_config.phaseFeedbackMax;
374 Json::Value::iterator nodeIt = actions.begin();
377 for( std::size_t i = 0; i < numControllers; i++)
379 Json::Value nodeParam = *nodeIt;
380 for( std::size_t j = 0; j < numActions; j++)
382 nodeActions[i][j] = ( (nodeParam.get(j, 0.0)).asDouble() *
383 (limits[1][j] - limits[0][j])) + limits[0][j];
394 std::vector<double> feedback;
396 const std::vector<tgSpringCableActuator*>& allCables = subject.getAllMuscles();
398 double *inputs =
new double[m_config.numStates];
400 std::size_t n = allCables.size();
401 for(std::size_t i = 0; i != n; i++)
403 std::vector< std::vector<double> > actions;
406 std::vector<double > state = getCableState(cable);
409 for (std::size_t i = 0; i < state.size(); i++)
411 inputs[i]=state[i] / 2.0 + 0.5;
414 double *output =
nn->feedForwardPattern(inputs);
415 vector<double> tmpAct;
416 for(
int j=0;j<m_config.numActions;j++)
418 tmpAct.push_back(output[j]);
420 actions.push_back(tmpAct);
422 std::vector<double> cableFeedback = transformFeedbackActions(actions);
424 feedback.insert(feedback.end(), cableFeedback.begin(), cableFeedback.end());
435 std::vector<double> state;
441 const double maxTension = cable.
getConfig().maxTens;
442 state.push_back((cable.
getTension() - maxTension / 2.0) / maxTension);
447 std::vector<double> JSONFeedbackControl::transformFeedbackActions(std::vector< std::vector<double> >& actions)
450 std::vector<double> feedback;
453 const std::size_t numControllers = 1;
454 const std::size_t numActions = m_config.numActions;
456 assert( actions.size() == numControllers);
457 assert( actions[0].size() == numActions);
460 for( std::size_t i = 0; i < numControllers; i++)
462 for( std::size_t j = 0; j < numActions; j++)
464 feedback.push_back(actions[i][j] * 2.0 - 1.0);
Contains the definition of class ImpedanceControl. $Id$.
void update(std::vector< double > &descCom, double dt)
std::deque< double > tensionHistory
virtual const double getTension() const
virtual const double getStartLength() const
virtual void onSetup(BaseSpineModelLearning &subject)
virtual array_4D scaleEdgeActions(Json::Value edgeParam)
void setConnectivity(const std::vector< tgCPGActuatorControl * > &allStrings, array_4D edgeParams)
A controller for the template class BaseSpineModelLearning.
std::deque< double > restLengths
virtual void onStep(BaseSpineModelLearning &subject, double dt)
Definition of the tgCPGStringControl observer class.
A template base class for a tensegrity spine.
A class to read a learning configuration from a .ini file.
Contains the definition of abstract base class tgSpringCableActuator. Assumes that the string is line...
A series of functions to assist with file input/output.
Contains the definition of class AnnealEvolution. Adapting NeuroEvolution to do Simulated Annealing...
virtual void onTeardown(BaseSpineModelLearning &subject)
Contains the definition of class tgBasicActuator.
const Config & getConfig() const
virtual void onStep(tgModel &model, double dt)
Definition of class CPGEquationsFB.
Config(int ss, int tm, int om, int param, int segnum=6, double ct=0.1, double la=0, double ha=30, double lp=-1 *M_PI, double hp=M_PI, double kt=0.0, double kp=1000.0, double kv=100.0, bool def=true, double cl=10.0, double lf=0.0, double hf=30.0, double ffMin=0.0, double ffMax=0.0, double afMin=0.0, double afMax=0.0, double pfMin=0.0, double pfMax=0.0)
virtual void onSetup(tgModel &model)
JSONFeedbackControl(JSONFeedbackControl::Config config, std::string args, std::string resourcePath="")
virtual const double getCurrentLength() const
void notifyStep(double dt)
void assignNodeNumberFB(CPGEquationsFB &CPGSys, array_2D nodeParams)