Source code for klampt.sim.simulation

from ..robotsim import *
from . import simlog
import weakref
from typing import Union,List,Sequence,Callable,Any
from klampt.control.blocks.robotcontroller import RobotControllerBlock

[docs]class SensorEmulator: """A generic sensor emulator. Translates from the physics simulation -> inputs to a Python controller. The Python controller is assumed to have the structure of :class:`klampt.control.controller.ControllerBase`, where it is given as input a dictionary of named items reflecting the most up-to-date readings on each control time-step. """ def __init__(self): pass
[docs] def update(self) -> dict: """Returns a dictionary mapping named sensors to their outputs.""" return {}
[docs] def drawGL(self) -> None: """Optional: for debugging""" return
[docs]class DefaultSensorEmulator(SensorEmulator): """A sensor emulator that by default provides the robot's commanded position, velocity, and other sensors defined in the robot or world XML file. """ def __init__(self,sim,controller): self.sim = sim self.controller = controller
[docs] def update(self) -> dict: measurements = {} mode = self.controller.getControlType() if mode == "PID": measurements['qcmd'] = self.controller.getCommandedConfig() measurements['dqcmd'] = self.controller.getCommandedVelocity() k = 0 while True: s = self.controller.sensor(k) if s.type()=='': break; measurements[s.name()] = s.getMeasurements() k+=1 return measurements
[docs] def drawGL(self) -> None: if self.controller.getControlType() == "PID": q = self.controller.getCommandedConfig() r = self.controller.model() r.setConfig(q) colors = [] for j in range(r.numLinks()): colors.append(r.link(j).appearance().getColor()) r.link(j).appearance().setColor(0,1,0,0.5) r.drawGL() for j in range(r.numLinks()): r.link(j).appearance().setColor(*colors[j])
[docs]class ActuatorEmulator: """A generic actuator emulator. Translates outputs from the Python controller -> the physics simulation. A variety of non-traditional actuators can be simulated here. The Python controller is assumed to have the structure of :class:`~klampt.control.blocks.robotcontroller.RobotControllerBlock', which outputs a dictionary of commands every control time step. The emulator will read these with the process() method, and perhaps interact with the simulator on substep(). """ def __init__(self): pass
[docs] def process(self, commands : dict, dt : float) -> None: """Processes the dictionary of commands, which are outputted by the controller. This may involve applying commands to the low-level motor emulator, or applying forces to the simulator. Args: commands (dict): a dictionary of commands produced by the controller dt (float): the control time step (not the underlying simulation time step) To play nicely with other actuators in a nested steup, once a command is processed, the class should remove it from the commands dictionary. """ pass
[docs] def substep(self, dt : float) -> None: """This is called every simulation substep, which occurs at a higher rate than process() is called. dt is the simulation substep. """ pass
[docs] def drawGL(self) -> None: """Optional: for debugging""" return
[docs]class DefaultActuatorEmulator(ActuatorEmulator): """This default emulator can take the commands - torquecmd: torque comand - qcmd: position command - dqcmd: velocity command - tcmd: time for a dqcmd And will also pass any remaining commands to the low-level C controller. """ def __init__(self,sim,controller): self.sim = sim self.controller = controller
[docs] def process(self,commands,dt): """Commands: a dictionary of values outputted from the controller module, or None if no command was issued. """ if commands == None: return c = self.controller defaultVals = set(['t','dt','torquecmd','qcmd','dqcmd','tcmd']) if 'qcmd' in commands: dqcmd = commands['dqcmd'] if 'dqcmd' in commands else [0.0]*len(commands['qcmd']) if 'torquecmd' in commands: c.setPIDCommand(commands['qcmd'],dqcmd,commands['torquecmd']) else: c.setPIDCommand(commands['qcmd'],dqcmd) elif 'dqcmd' in commands: assert 'tcmd' in commands c.setVelocity(commands['dqcmd'],commands['tcmd']) elif 'torquecmd' in commands: c.setTorque(commands['torquecmd']) for (k,v) in commands.items(): if k not in defaultVals: if c.model().sensor(k).type() != '': continue if c.sendCommand(k,str(v)): print("Sent command",k,v,"to low level controller") return
[docs]class SimpleSimulator (Simulator): """A convenience class that enables easy logging, definition of simulation hooks, emulators of sensors / actuators, and definition of robot controllers. Note that for greatest compatibility you should NOT manually apply forces to the simulation except for inside of hooks and emulators. This is because several simulation sub-steps will be taken, and you will have no control over the forces applied except for the first time step. Args: world (WorldModel): the world that should be simulated. """ def __init__(self, world : WorldModel): Simulator.__init__(self,world) #these are functions automatically called at each time step self.robotControllers = [None]*world.numRobots() self.sensorEmulators = [[DefaultSensorEmulator(weakref.proxy(self),self.controller(i))] for i in range(world.numRobots())] self.actuatorEmulators = [[DefaultActuatorEmulator(weakref.proxy(self),self.controller(i))] for i in range(world.numRobots())] self.hooks = [] # type: List[Callable] self.hook_args = [] # type: List[Any] #the rate of applying simulation substeps. Hooks and actuator emulators are #called at this rate. Note: this should be set at least as large as the simulation time step self.substep_dt = 0.001 self.worst_status = Simulator.STATUS_NORMAL #turn this on to save log to disk self.logging = False self.logger = None self.log_state_fn="simulation_state.csv" self.log_contact_fn="simulation_contact.csv" #save state so controllers don't rely on world state self.robotStates = [] self.objectStates = []
[docs] def getStatus(self): return self.worst_status
[docs] def getStatusString(self, status = -1): if status > 0: return Simulator.getStatusString(self, status) return Simulator.getStatusString(self, self.getStatus())
[docs] def beginLogging(self): self.logging = True self.logger = simlog.SimLogger(weakref.proxy(self),self.log_state_fn,self.log_contact_fn)
[docs] def endLogging(self): self.logging = False self.logger = None
[docs] def pauseLogging(self,paused=True): self.logging=not paused
[docs] def toggleLogging(self): if self.logging: self.pauseLogging() else: if self.logger==None: self.beginLogging() else: self.pauseLogging(False)
[docs] def setController(self, robot : Union[int,str,RobotModel], function : Union[Callable,RobotControllerBlock]) -> None: """Sets a robot's controller function. Args: robot: either an index, string, or RobotModel. function: either 1) a one-argument function that takes the robot's SimRobotController instance, or 2) an instance of a :class:`klampt.control.controller.ControllerBlock` class, which must conform to the :class:`klampt.control.blocks.robotcontroller.RobotControllerBlock` convention. """ if isinstance(robot,int): index = robot elif isinstance(robot,str): index = self.world.robot(robot).index elif isinstance(robot,RobotModel): index = robot.index else: raise ValueError("Invalid robot specified") if not callable(function): assert hasattr(function,'advance'),"setController takes either a 1-argument function or a ControllerBase instance" self.robotControllers += [None]*(self.world.numRobots()-len(self.robotControllers)) self.robotControllers[index] = function
[docs] def addEmulator(self, robot : Union[int,str,RobotModel], e : Union[SensorEmulator,ActuatorEmulator]) -> None: """Adds an emulator to the given robot. e must be of SensorEmulator or ActuatorEmulator type. """ if isinstance(robot,int): index = robot elif isinstance(robot,str): index = self.world.robot(robot).index elif isinstance(robot,RobotModel): index = robot.index else: raise ValueError("Invalid robot specified") if isinstance(e,SensorEmulator): self.sensorEmulators[index].append(e) elif isinstance(e,ActuatorEmulator): self.actuatorEmulators[index] = [e] + self.actuatorEmulators[index] else: raise ValueError("Invalid emulator type")
[docs] def addHook(self, objects, function : Callable) -> None: """For the world object(s), applies a hook that gets called every simulation loop. Args: objects: may be an str identifier, a WorldModel entity, or a SimBody. can also be a list of such objects. - str: 'time', or the name of any items in the world. If 'time', the simulation time is passed to function. Otherwise, the SimBody object named by this str is passed to function. - RobotModelLink, RigidObjectModel, TerrainModel: the corresponding SimBody object is passed to function. - RobotModel: the corresponding SimRobotController object is passed to function. - Otherwise, object[i] is passed directly to function. function (function): a function f(o1,o2,...,on) that is called every substep with the given object(s) as arguments. """ if not hasattr(objects,'__iter__'): objects = [objects] args = [] for o in objects: if isinstance(o,(RobotModelLink,RigidObjectModel,TerrainModel)): args.append(self.body(o)) elif isinstance(o,RobotModel): args.append(self.controller(o)) elif isinstance(o,str): if o == 'time': args.append(o) elif self.world.robot(o).world >= 0: args.append(self.world.robot(o)) elif self.world.terrain(o).world >= 0: args.append(self.world.terrain(o)) elif self.world.rigidObject(o).world >= 0: args.append(self.world.rigidObject(o)) else: raise ValueError("String value "+o+" is unknown") else: args.append(o) self.hooks.append(function) self.hook_args.append(args)
[docs] def drawGL(self) -> None: self.updateWorld() self.world.drawGL() self.drawEmulatorsGL() self.drawControllersGL()
[docs] def drawEmulatorsGL(self) -> None: #draw emulators for elist in self.sensorEmulators: for e in elist: e.drawGL() for elist in self.actuatorEmulators: for e in elist: e.drawGL()
[docs] def drawControllersGL(self) -> None: #draw controllers for i in range(self.world.numRobots()): if self.robotControllers[i] is None: continue if not hasattr(self.robotControllers[i],'drawGL'): continue self.robotControllers[i].drawGL()
[docs] def simulate(self, dt : float) -> None: """Runs the simulation. Note that this should be called at the rate of the controller. Simulation hooks and emulator substeps will be called at the rate of substep_dt. Args: dt (float): control timestep """ #Handle logging if self.logger: self.logger.saveStep() self.worst_status = Simulator.STATUS_NORMAL #Advance controller, emulators #restore state from previous call -- this is done so that simulation data doesn't leak into controllers for i,(q,dq) in enumerate(self.robotStates): self.world.robot(i).setConfig(q) self.world.robot(i).setVelocity(dq) for i,T in enumerate(self.objectStates): self.world.rigidObject(i).setTransform(*T) #advance controller self.controlStep(dt) #save post-controller state self.robotStates = [(self.world.robot(i).getConfig(),self.world.robot(i).getVelocity()) for i in range(self.world.numRobots())] self.objectStates = [self.world.rigidObject(i).getTransform() for i in range(self.world.numRigidObjects())] #advance hooks and the physics simulation at the high rate assert self.substep_dt > 0 t = 0 while True: substep = min(self.substep_dt,dt-t) for i in range(self.world.numRobots()): for e in self.actuatorEmulators[i]: e.substep(substep) for (hook,args) in zip(self.hooks,self.hook_args): resolvedArgs = [] for a in args: if isinstance(a,str): if a=='time': resolvedArgs.append(self.sim.getTime()) elif a=='dt': resolvedArgs.append(substep) else: raise ValueError("Invalid unresolved argument",a) else: resolvedArgs.append(a) try: hook(*resolvedArgs) except Exception as e: import traceback print("Hook encountered error with arguments",resolvedArgs) traceback.print_exc() raise #Finally advance the physics simulation Simulator.simulate(self,substep) s = Simulator.getStatus(self) if s > self.worst_status: self.worst_status = s t += self.substep_dt if t >= dt: break #done return
[docs] def controlStep(self, dt :float) -> None: for i in range(self.world.numRobots()): c = self.robotControllers[i] if hasattr(c,'advance'): #it's a block #build measurement dict measurements = {'t':self.getTime(),'dt':dt} for e in self.sensorEmulators[i]: measurements.update(e.update()) """ #debug: print measurements for (k,v) in measurements.iteritems(): print(k,":",) if hasattr(v,'__iter__'): print(' '.join("%.2f"%(vi,) for vi in v)) else: print(v) """ if c: #assume it's a RobotControllerBlock instance #compute controller output, advance controller output = c.advance(**measurements) else: output = None #process output => sim using actuator emulators for e in self.actuatorEmulators[i]: e.process(output,dt) elif callable(c): #it's a callable(SimRobotController) c(self.controller(i))