#~ q_init = load(f) #~ f.close() # Randomly generating a contact configuration at q_end fullBody.setCurrentConfig (q_goal) q_goal = fullBody.generateContacts(q_goal, [0,0,1]) # specifying the full body configurations as start and goal state of the problem fullBody.setStartState(q_init,[]) #~ fullBody.setStartState(q_init,[rLegId,lLegId,rarmId,larmId]) fullBody.setEndState(q_goal,[rLegId,lLegId,rarmId,larmId]) r(q_init) # computing the contact sequence #~ configs = fullBody.interpolate(0.05, 10, 1, True) configs = fullBody.interpolate(0.08, 10, 10, True) #~ configs = fullBody.interpolate(0.11, 7, 10, True) #~ configs = fullBody.interpolate(0.1, 1, 10, True) #~ configs = fullBody.interpolate(0.02, 10, 10, True) import time try: time.sleep(2) fullBody.dumpProfile() except Exception as e: pass
q_goal = fullBody.getCurrentConfig(); q_goal[0:confsize] = tp.q_goal[0:confsize] fullBody.setCurrentConfig (q_init) #~ q_0 = fullBody.getCurrentConfig(); q_init = fullBody.generateContacts(q_init, [0,0,-1]); r (q_init) fullBody.setCurrentConfig (q_goal) #~ r(q_goal) q_goal = fullBody.generateContacts(q_goal, [0,0,1]) #~ r(q_goal) #~ gui = r.client.gui #~ fullBody.setStartState(q_init,[rLegId,lLegId,rarmId,larmId]) fullBody.setStartState(q_init,[rLegId,lLegId,larmId]) fullBody.setEndState(q_goal,[rLegId,lLegId]) #~ #~ r(q_init) configs = fullBody.interpolate(0.03, 10, 5, True) import time try: time.sleep(2) fullBody.dumpProfile() except Exception as e: pass
#~ fullBody.client.basic.robot.setJointConfig('LARM_JOINT0',[1]) #~ fullBody.client.basic.robot.setJointConfig('RARM_JOINT0',[-1]) q_0 = fullBody.getCurrentConfig(); q_init = [ 0.0, 0.0, 0.648702, 1.0, 0.0, 0.0, 0.0, # Free flyer 0-6 0.0, 0.0, 0.0, 0.0, # CHEST HEAD 7-10 0.261799388, 0.174532925, 0.0, -0.523598776, 0.0, 0.0, 0.174532925, # LARM 11-17 0.261799388, -0.174532925, 0.0, -0.523598776, 0.0, 0.0, 0.174532925, # RARM 18-24 0.0, 0.0, -0.453785606, 0.872664626, -0.41887902, 0.0, # LLEG 25-30 0.0, 0.0, -0.453785606, 0.872664626, -0.41887902, 0.0, # RLEG 31-36 ]; r (q_init) q_init[0:7] = tp.q_init[0:7] q_goal = q_init [::] q_goal[0:7] = tp.q_goal[0:7] fullBody.setCurrentConfig (q_goal) fullBody.setStartState(q_init,[rLegId,lLegId]) #,rarmId,larmId]) fullBody.setEndState(q_goal,[rLegId,lLegId])#,rarmId,larmId]) #~ #~ configs = fullBody.interpolate(0.1) configs = fullBody.interpolate(0.1) #~ configs = fullBody.interpolate(0.08) i = 0; r (configs[i]); i=i+1; i-1 #~ q_init = fullBody.generateContacts(q_init, [0,0,-1]); r (q_init)
0.261799388, 0.174532925, 0.0, -0.523598776, 0.0, 0.0, 0.17, # LARM 11-17 0.261799388, -0.174532925, 0.0, -0.523598776, 0.0, 0.0, 0.17, # RARM 18-24 0.0, 0.0, -0.453785606, 0.872664626, -0.41887902, 0.0, # LLEG 25-30 0.0, 0.0, -0.453785606, 0.872664626, -0.41887902, 0.0, # RLEG 31-36 ]; r (q_init) fullBody.setCurrentConfig (q_goal) #~ r(q_goal) q_goal = fullBody.generateContacts(q_goal, [0,0,1]) #~ r(q_goal) fullBody.setStartState(q_init,[rLegId,lLegId]) #,rarmId,larmId]) fullBody.setEndState(q_goal,[rLegId,lLegId])#,rarmId,larmId]) #~ #~ configs = fullBody.interpolate(0.1) configs = fullBody.interpolate(0.1) #~ configs = fullBody.interpolate(0.15) i = 0; fullBody.draw(configs[i],r); i=i+1; i-1 r.loadObstacleModel ('hpp-rbprm-corba', "stair_bauzil", "contact") #~ fullBody.exportAll(r, configs, 'stair_bauzil_hrp2_robust_2'); #~ fullBody.client.basic.robot.setJointConfig('LLEG_JOINT0',[-1]) #~ q_0 = fullBody.getCurrentConfig(); #~ fullBody.draw(q_0,r); #~ print(fullBody.client.rbprm.rbprm.getOctreeTransform(rarmId, q_0)) #~ #~ #~ fullBody.client.basic.robot.setJointConfig('LLEG_JOINT0',[1]) #~ q_0 = fullBody.getCurrentConfig(); #~ fullBody.draw(q_0,r);
q_init[configSize:configSize+3] = dir_init[::] q_init[configSize+3:configSize+6] = acc_init[::] q_goal[configSize:configSize+3] = dir_goal[::] q_goal[configSize+3:configSize+6] = acc_goal[::] # specifying the full body configurations as start and goal state of the problem fullBody.setStartStateId(s_init.sId) fullBody.setEndStateId(s_goal.sId) q_far = q_init[::] q_far[2] = -5 from hpp.gepetto import PathPlayer pp = PathPlayer (fullBody.client.basic, r) configs = fullBody.interpolate(0.001,pathId=0,robustnessTreshold = 2, filterStates = True) r(configs[-1]) #~ r.loadObstacleModel ('hpp-rbprm-corba', "darpa", "contact") """ from fullBodyPlayer import Player player = Player(fullBody,pp,tp,configs,draw=True,optim_effector=False,use_velocity=dynamic,pathId = 0) player.displayContactPlan() #player.interpolate(5,len(configs)-2) #player.play() """
fullBody.runLimbSampleAnalysis(rarmId, "jointLimitsDistance", True) fullBody.runLimbSampleAnalysis(larmId, "jointLimitsDistance", True) fullBody.runLimbSampleAnalysis(lLegId, "jointLimitsDistance", True) q_0 = fullBody.getCurrentConfig() q_init = fullBody.getCurrentConfig() q_init[0:7] = tp.q_init[0:7] q_goal = fullBody.getCurrentConfig() q_goal[0:7] = tp.q_goal[0:7] fullBody.setCurrentConfig(q_init) q_init = fullBody.generateContacts(q_init, [0, 0, 1]) q_0 = fullBody.getCurrentConfig() fullBody.setCurrentConfig(q_goal) q_goal = fullBody.generateContacts(q_goal, [0, 0, 1]) fullBody.setStartState(q_init, []) fullBody.setEndState(q_goal, [rLegId, lLegId, rarmId, larmId]) r(q_init) configs = fullBody.interpolate(0.08, 1, 3) #hole import time try: time.sleep(2) fullBody.dumpProfile() except Exception as e: pass
r.addLandmark('hrp2_14/BODY', 0.3) r(q_init) fullBody.setStartState(q_init, [rLegId, lLegId]) fullBody.setEndState(q_goal, [rLegId, lLegId]) fullBody.setStaticStability( False) # only set it after the init/goal configuration are computed from hpp.gepetto import PathPlayer pp = PathPlayer(fullBody.client.basic, r) import fullBodyPlayerHrp2 tStart = time.time() configs = fullBody.interpolate(0.01, pathId=pId, robustnessTreshold=robTreshold, filterStates=True) tInterpolate = time.time() - tStart print("number of configs : ", len(configs)) print("generated in " + str(tInterpolate) + " s") r(configs[len(configs) - 2]) player = fullBodyPlayerHrp2.Player(fullBody, pp, tp, configs, draw=False, use_window=1, optim_effector=True, use_velocity=False, pathId=pId)
#q_goal = fullBody.generateContacts(q_goal, dir_goal,acc_goal,robTreshold) r(q_goal) # specifying the full body configurations as start and goal state of the problem r.addLandmark('talos/base_link', 0.3) r(q_init) fullBody.setStartState(q_init, [rLegId, lLegId]) fullBody.setEndState(q_goal, [rLegId, lLegId]) from hpp.gepetto import PathPlayer pp = PathPlayer(fullBody.client.basic, r) tStart = time.time() configsFull = fullBody.interpolate(0.01, pathId=pId, robustnessTreshold=2, filterStates=False) tInterpolateConfigs = time.time() - tStart print "number of configs :", len(configsFull) from configs.talos_flatGround import * from generate_contact_sequence import * beginState = 0 endState = 6 configs = configsFull[beginState:endState + 1] cs = generateContactSequence(fullBody, configs, beginState, endState, r) #player.displayContactPlan() filename = OUTPUT_DIR + "/" + OUTPUT_SEQUENCE_FILE cs.saveAsXML(filename, "ContactSequence")
r(q_init) fullBody.setStartState(q_init, [rLegId, lLegId]) fullBody.setEndState(q_goal, [rLegId, lLegId]) fullBody.setStaticStability( True) # only set it after the init/goal configuration are computed from hpp.gepetto import PathPlayer pp = PathPlayer(fullBody.client.basic, r) import fullBodyPlayerHrp2 tStart = time.time() configs = fullBody.interpolate(0.01, pathId=pId, robustnessTreshold=robTreshold, filterStates=True, testReachability=True, quasiStatic=True) tInterpolate = time.time() - tStart print "number of configs : ", len(configs) print "generated in " + str(tInterpolate) + " s" r(configs[len(configs) - 2]) f = open( "/local/fernbac/bench_iros18/kin_constraint_tog/without_kin_constraints.log", "a") global num_transition global valid_transition global length_traj global valid_length
q_init = fullBody.generateContacts(q_init, [0, 0, -1]) r(q_init) fullBody.setCurrentConfig(q_goal) #~ r(q_goal) q_goal = fullBody.generateContacts(q_goal, [0, 0, 1]) #~ r(q_goal) #~ gui = r.client.gui #~ fullBody.setStartState(q_init,[rLegId,lLegId,rarmId,larmId]) fullBody.setStartState(q_init, [rLegId, lLegId, larmId]) fullBody.setEndState(q_goal, [rLegId, lLegId]) #~ #~ r(q_init) configs = fullBody.interpolate(0.02, 10, 5, False) #~ r.loadObstacleModel ('hpp-rbprm-corba', "polaris", "contact") #~ configs = fullBody.interpolate(0.09) #~ configs = fullBody.interpolate(0.08) i = 0 r(configs[i]) i = i + 1 i - 1 #~ q_init = fullBody.generateContacts(q_init, [0,0,-1]); r (q_init) #~ fullBody.draw(q_0,r) #~ fullBody.client.rbprm.rbprm.getOctreeTransform(larmId, q_0) #~ problem = ps.client.problem #~ length = problem.pathLength (0) #~ t = 0 #~ i = 0 #~ configs = []
q = q_init[::] q[0] += 0.3 q = fullBody.generateContacts(q,dir_init,acc_init,robTreshold) mid_sid = fullBody.addState(q,[lLegId,rLegId]) """ from hpp.gepetto import PathPlayer pp = PathPlayer(fullBody.client.basic, r) import fullBodyPlayerHrp2 tStart = time.time() configsFull = fullBody.interpolate(0.01, pathId=pId, robustnessTreshold=0, filterStates=True, testReachability=False, quasiStatic=False) tInterpolateConfigs = time.time() - tStart print("number of configs :", len(configsFull)) r(configsFull[-1]) """ import check_qp planValid,curves_initGuess,timings_initGuess = check_qp.check_contact_plan(ps,r,pp,fullBody,0,len(configsFull)) print "Contact plan valid : "+str(planValid) """ from configs.straight_walk_dynamic_planning_config import * from generate_contact_sequence import * beginState = 0
fullBody.runLimbSampleAnalysis(rLegId, "jointLimitsDistance", True) fullBody.runLimbSampleAnalysis(rarmId, "jointLimitsDistance", True) fullBody.runLimbSampleAnalysis(larmId, "jointLimitsDistance", True) fullBody.runLimbSampleAnalysis(lLegId, "jointLimitsDistance", True) q_0 = fullBody.getCurrentConfig(); q_init = fullBody.getCurrentConfig(); q_init[0:7] = tp.q_init[0:7] q_goal = fullBody.getCurrentConfig(); q_goal[0:7] = tp.q_goal[0:7] fullBody.setCurrentConfig (q_init) q_init = fullBody.generateContacts(q_init, [0,0,1]) q_0 = fullBody.getCurrentConfig(); fullBody.setCurrentConfig (q_goal) q_goal = fullBody.generateContacts(q_goal, [0,0,1]) fullBody.setStartState(q_init,[]) fullBody.setEndState(q_goal,[rLegId,lLegId,rarmId,larmId]) r(q_init) configs = fullBody.interpolate(0.08,1,3) #hole import time try: time.sleep(2) fullBody.dumpProfile() except Exception as e: pass
q_init = fullBody.getCurrentConfig(); q_init[0:7] = tp.q_init[0:7] q_goal = fullBody.getCurrentConfig(); q_goal[0:7] = tp.q_goal[0:7] fullBody.setCurrentConfig (q_init) q_init = fullBody.generateContacts(q_init, [0,0,1]) q_0 = fullBody.getCurrentConfig(); fullBody.setCurrentConfig (q_goal) q_goal = fullBody.generateContacts(q_goal, [0,0,1]) fullBody.setStartState(q_init,[]) fullBody.setEndState(q_goal,[rLegId,lLegId,rarmId,larmId]) r(q_init) configs = fullBody.interpolate(0.1,1,10) #hole #~ configs = fullBody.interpolate(0.08,1,5) # bridge r.loadObstacleModel ('hpp-rbprm-corba', "groundcrouch", "contact") #~ fullBody.exportAll(r, configs, 'obstacle_hyq_robust_10'); i = 0; r (configs[i]); i=i+1; i-1 from hpp.gepetto import PathPlayer pp = PathPlayer (fullBody.client.basic, r) from hpp.corbaserver.rbprm.tools.cwc_trajectory_helper import step, clean,stats, saveAllData, play_traj, profile
q_init = fullBody.generateContacts(q_init, [0, 0, -1]) r(q_init) fullBody.setCurrentConfig(q_goal) #~ r(q_goal) q_goal = fullBody.generateContacts(q_goal, [0, 0, 1]) #~ r(q_goal) #~ gui = r.client.gui #~ fullBody.setStartState(q_init,[rLegId,lLegId,larmId]) fullBody.setStartState(q_init, [rLegId, lLegId]) fullBody.setEndState(q_goal, [rLegId, lLegId]) #~ #~ r(q_init) configs = fullBody.interpolate(0.01, 10, 10, True) #~ r.loadObstacleModel ('hpp-rbprm-corba', "polaris", "contact") #~ configs = fullBody.interpolate(0.09) #~ configs = fullBody.interpolate(0.08) i = 0 r(configs[i]) i = i + 1 i - 1 #~ q_init = fullBody.generateContacts(q_init, [0,0,-1]); r (q_init) #~ fullBody.draw(q_0,r) #~ fullBody.client.rbprm.rbprm.getOctreeTransform(larmId, q_0) #~ problem = ps.client.problem #~ length = problem.pathLength (0) #~ t = 0 #~ i = 0 #~ configs = []