bullet3/examples/pybullet/gym/pybullet_envs/gym_locomotion_envs.py
erwincoumans aba4671358 Humanoid Flagrun Harder, PyBullet version (request from Danijar)
Fix duplicate ground in all Roboschool converted scenes.
Fix bug in all PyBullet-Roboschool converted Humanoid environments (action needs to be clipped to [-1,1] range)
2018-01-24 17:53:40 -08:00

176 lines
6.2 KiB
Python

from .scene_stadium import SinglePlayerStadiumScene
from .env_bases import MJCFBaseBulletEnv
import numpy as np
import pybullet as p
from robot_locomotors import Hopper, Walker2D, HalfCheetah, Ant, Humanoid, HumanoidFlagrun, HumanoidFlagrunHarder
class WalkerBaseBulletEnv(MJCFBaseBulletEnv):
def __init__(self, robot, render=False):
print("WalkerBase::__init__ start")
MJCFBaseBulletEnv.__init__(self, robot, render)
self.camera_x = 0
self.walk_target_x = 1e3 # kilometer away
self.walk_target_y = 0
self.stateId=-1
def create_single_player_scene(self):
self.stadium_scene = SinglePlayerStadiumScene(gravity=9.8, timestep=0.0165/4, frame_skip=4)
return self.stadium_scene
def _reset(self):
if (self.stateId>=0):
#print("restoreState self.stateId:",self.stateId)
p.restoreState(self.stateId)
r = MJCFBaseBulletEnv._reset(self)
p.configureDebugVisualizer(p.COV_ENABLE_RENDERING,0)
self.parts, self.jdict, self.ordered_joints, self.robot_body = self.robot.addToScene(
self.stadium_scene.ground_plane_mjcf)
self.ground_ids = set([(self.parts[f].bodies[self.parts[f].bodyIndex], self.parts[f].bodyPartIndex) for f in
self.foot_ground_object_names])
p.configureDebugVisualizer(p.COV_ENABLE_RENDERING,1)
if (self.stateId<0):
self.stateId=p.saveState()
#print("saving state self.stateId:",self.stateId)
return r
def move_robot(self, init_x, init_y, init_z):
"Used by multiplayer stadium to move sideways, to another running lane."
self.cpp_robot.query_position()
pose = self.cpp_robot.root_part.pose()
pose.move_xyz(init_x, init_y, init_z) # Works because robot loads around (0,0,0), and some robots have z != 0 that is left intact
self.cpp_robot.set_pose(pose)
electricity_cost = -2.0 # cost for using motors -- this parameter should be carefully tuned against reward for making progress, other values less improtant
stall_torque_cost = -0.1 # cost for running electric current through a motor even at zero rotational speed, small
foot_collision_cost = -1.0 # touches another leg, or other objects, that cost makes robot avoid smashing feet into itself
foot_ground_object_names = set(["floor"]) # to distinguish ground and other objects
joints_at_limit_cost = -0.1 # discourage stuck joints
def _step(self, a):
if not self.scene.multiplayer: # if multiplayer, action first applied to all robots, then global step() called, then _step() for all robots with the same actions
self.robot.apply_action(a)
self.scene.global_step()
state = self.robot.calc_state() # also calculates self.joints_at_limit
alive = float(self.robot.alive_bonus(state[0]+self.robot.initial_z, self.robot.body_rpy[1])) # state[0] is body height above ground, body_rpy[1] is pitch
done = alive < 0
if not np.isfinite(state).all():
print("~INF~", state)
done = True
potential_old = self.potential
self.potential = self.robot.calc_potential()
progress = float(self.potential - potential_old)
feet_collision_cost = 0.0
for i,f in enumerate(self.robot.feet): # TODO: Maybe calculating feet contacts could be done within the robot code
contact_ids = set((x[2], x[4]) for x in f.contact_list())
#print("CONTACT OF '%d' WITH %d" % (contact_ids, ",".join(contact_names)) )
if (self.ground_ids & contact_ids):
#see Issue 63: https://github.com/openai/roboschool/issues/63
#feet_collision_cost += self.foot_collision_cost
self.robot.feet_contact[i] = 1.0
else:
self.robot.feet_contact[i] = 0.0
electricity_cost = self.electricity_cost * float(np.abs(a*self.robot.joint_speeds).mean()) # let's assume we have DC motor with controller, and reverse current braking
electricity_cost += self.stall_torque_cost * float(np.square(a).mean())
joints_at_limit_cost = float(self.joints_at_limit_cost * self.robot.joints_at_limit)
debugmode=0
if(debugmode):
print("alive=")
print(alive)
print("progress")
print(progress)
print("electricity_cost")
print(electricity_cost)
print("joints_at_limit_cost")
print(joints_at_limit_cost)
print("feet_collision_cost")
print(feet_collision_cost)
self.rewards = [
alive,
progress,
electricity_cost,
joints_at_limit_cost,
feet_collision_cost
]
if (debugmode):
print("rewards=")
print(self.rewards)
print("sum rewards")
print(sum(self.rewards))
self.HUD(state, a, done)
self.reward += sum(self.rewards)
return state, sum(self.rewards), bool(done), {}
def camera_adjust(self):
x, y, z = self.body_xyz
self.camera_x = 0.98*self.camera_x + (1-0.98)*x
self.camera.move_and_look_at(self.camera_x, y-2.0, 1.4, x, y, 1.0)
class HopperBulletEnv(WalkerBaseBulletEnv):
def __init__(self):
self.robot = Hopper()
WalkerBaseBulletEnv.__init__(self, self.robot)
class Walker2DBulletEnv(WalkerBaseBulletEnv):
def __init__(self):
self.robot = Walker2D()
WalkerBaseBulletEnv.__init__(self, self.robot)
class HalfCheetahBulletEnv(WalkerBaseBulletEnv):
def __init__(self):
self.robot = HalfCheetah()
WalkerBaseBulletEnv.__init__(self, self.robot)
class AntBulletEnv(WalkerBaseBulletEnv):
def __init__(self):
self.robot = Ant()
WalkerBaseBulletEnv.__init__(self, self.robot)
class HumanoidBulletEnv(WalkerBaseBulletEnv):
def __init__(self, robot=Humanoid()):
self.robot = robot
WalkerBaseBulletEnv.__init__(self, self.robot)
self.electricity_cost = 4.25*WalkerBaseBulletEnv.electricity_cost
self.stall_torque_cost = 4.25*WalkerBaseBulletEnv.stall_torque_cost
class HumanoidFlagrunBulletEnv(HumanoidBulletEnv):
random_yaw = True
def __init__(self):
self.robot = HumanoidFlagrun()
HumanoidBulletEnv.__init__(self, self.robot)
def create_single_player_scene(self):
s = HumanoidBulletEnv.create_single_player_scene(self)
s.zero_at_running_strip_start_line = False
return s
class HumanoidFlagrunHarderBulletEnv(HumanoidBulletEnv):
random_lean = True # can fall on start
def __init__(self):
self.robot = HumanoidFlagrunHarder()
self.electricity_cost /= 4 # don't care that much about electricity, just stand up!
HumanoidBulletEnv.__init__(self, self.robot)
def create_single_player_scene(self):
s = HumanoidBulletEnv.create_single_player_scene(self)
s.zero_at_running_strip_start_line = False
return s