slim down beerpong constructor further. Not sure, if we should merge the reward into the environment class.
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@ -123,7 +123,7 @@
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<joint name="wam/palm_yaw_joint" pos="0 0 0" axis="0 0 1" range="-2.7 2.7" />
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<geom class="viz" pos="0 0 -0.06" mesh="wrist_palm_link_fine" />
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<geom class="col" pos="0 0 -0.06" mesh="wrist_palm_link_convex" name="wrist_palm_link_convex_geom" />
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<site name="init_ball_pos_site" size="0.025 0.025 0.025" pos="0.0 0.0 0.035" rgba="0 1 0 1"/>
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<site name="init_ball_pos" size="0.025 0.025 0.025" pos="0.0 0.0 0.035" rgba="0 1 0 1"/>
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</body>
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</body>
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</body>
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@ -123,7 +123,7 @@
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<joint name="wam/palm_yaw_joint" pos="0 0 0" axis="0 0 1" range="-2.7 2.7" />
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<geom class="viz" pos="0 0 -0.06" mesh="wrist_palm_link_fine" />
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<geom class="col" pos="0 0 -0.06" mesh="wrist_palm_link_convex" name="wrist_palm_link_convex_geom" />
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<site name="init_ball_pos_site" size="0.025 0.025 0.025" pos="0.0 0.0 0.035" rgba="0 1 0 1"/>
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<site name="init_ball_pos" size="0.025 0.025 0.025" pos="0.0 0.0 0.035" rgba="0 1 0 1"/>
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</body>
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</body>
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</body>
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@ -9,35 +9,31 @@ from alr_envs.alr.mujoco.beerpong.beerpong_reward_staged import BeerPongReward
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class BeerPongEnv(MujocoEnv, utils.EzPickle):
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# TODO: always use gravity compensation
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def __init__(self, frame_skip=2, apply_gravity_comp=True):
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def __init__(self, frame_skip=2):
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self._steps = 0
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# Small Context -> Easier. Todo: Should we do different versions?
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# self.xml_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "assets",
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# "beerpong_wo_cup" + ".xml")
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# self.cup_pos_min = np.array([-0.32, -2.2])
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# self.cup_pos_max = np.array([0.32, -1.2])
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# self._cup_pos_min = np.array([-0.32, -2.2])
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# self._cup_pos_max = np.array([0.32, -1.2])
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self.xml_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "assets",
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"beerpong_wo_cup_big_table" + ".xml")
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self._cup_pos_min = np.array([-1.42, -4.05])
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self._cup_pos_max = np.array([1.42, -1.25])
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self.apply_gravity_comp = apply_gravity_comp
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self._start_pos = np.array([0.0, 1.35, 0.0, 1.18, 0.0, -0.786, -1.59])
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self._start_vel = np.zeros(7)
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# TODO: check if we need to define that in the constructor?
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self.ball_site_id = 0
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self.ball_id = 11
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self.cup_table_id = 10
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self.release_step = 100 # time step of ball release
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self.ep_length = 600 // frame_skip
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self.reward_function = BeerPongReward()
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self.repeat_action = frame_skip
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self.model = None
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self.site_id = lambda x: self.model.site_name2id(x)
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self.body_id = lambda x: self.model.body_name2id(x)
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MujocoEnv.__init__(self, self.xml_path, frame_skip=1)
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utils.EzPickle.__init__(self)
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@ -65,29 +61,26 @@ class BeerPongEnv(MujocoEnv, utils.EzPickle):
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# TODO: Ask Max why we need to set the state twice.
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self.set_state(start_pos, init_vel)
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start_pos[7::] = self.sim.data.site_xpos[self.ball_site_id, :].copy()
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start_pos[7::] = self.sim.data.site_xpos[self.site_id("init_ball_pos"), :].copy()
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self.set_state(start_pos, init_vel)
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xy = self.np_random.uniform(self._cup_pos_min, self._cup_pos_max)
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xyz = np.zeros(3)
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xyz[:2] = xy
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xyz[-1] = 0.840
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self.sim.model.body_pos[self.cup_table_id] = xyz
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self.sim.model.body_pos[self.body_id("cup_table")] = xyz
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return self._get_obs()
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def step(self, a):
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crash = False
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for _ in range(self.repeat_action):
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if self.apply_gravity_comp:
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applied_action = a + self.sim.data.qfrc_bias[:len(a)].copy() / self.model.actuator_gear[:, 0]
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else:
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applied_action = a
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applied_action = a + self.sim.data.qfrc_bias[:len(a)].copy() / self.model.actuator_gear[:, 0]
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try:
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self.do_simulation(applied_action, self.frame_skip)
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self.reward_function.initialize(self)
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# self.reward_function.check_contacts(self.sim) # I assume this is not important?
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if self._steps < self.release_step:
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self.sim.data.qpos[7::] = self.sim.data.site_xpos[self.ball_site_id, :].copy()
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self.sim.data.qvel[7::] = self.sim.data.site_xvelp[self.ball_site_id, :].copy()
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self.sim.data.qpos[7::] = self.sim.data.site_xpos[self.site_id("init_ball_pos"), :].copy()
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self.sim.data.qvel[7::] = self.sim.data.site_xvelp[self.site_id("init_ball_pos"), :].copy()
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crash = False
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except mujoco_py.builder.MujocoException:
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crash = True
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@ -102,7 +95,7 @@ class BeerPongEnv(MujocoEnv, utils.EzPickle):
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else:
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reward = -30
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done = True
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reward_infos = {"success": False, "ball_pos": np.zeros(3), "ball_vel": np.zeros(3), "is_collided": False}
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reward_infos = {"success": False, "ball_pos": np.zeros(3), "ball_vel": np.zeros(3), "is_collided": False}
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infos = dict(
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reward=reward,
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@ -125,7 +118,7 @@ class BeerPongEnv(MujocoEnv, utils.EzPickle):
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theta_dot,
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cup_goal_diff_final,
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cup_goal_diff_top,
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self.sim.model.body_pos[self.cup_table_id][:2].copy(),
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self.sim.model.body_pos[self.body_id("cup_table")][:2].copy(),
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[self._steps],
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])
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@ -135,14 +128,14 @@ class BeerPongEnv(MujocoEnv, utils.EzPickle):
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class BeerPongEnvFixedReleaseStep(BeerPongEnv):
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def __init__(self, frame_skip=2, apply_gravity_comp=True):
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super().__init__(frame_skip, apply_gravity_comp)
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def __init__(self, frame_skip=2):
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super().__init__(frame_skip)
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self.release_step = 62 # empirically evaluated for frame_skip=2!
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class BeerPongEnvStepBasedEpisodicReward(BeerPongEnv):
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def __init__(self, frame_skip=2, apply_gravity_comp=True):
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super().__init__(frame_skip, apply_gravity_comp)
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def __init__(self, frame_skip=2):
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super().__init__(frame_skip)
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self.release_step = 62 # empirically evaluated for frame_skip=2!
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def step(self, a):
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@ -46,3 +46,4 @@ def nested_update(base: MutableMapping, update):
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"""
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for k, v in update.items():
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base[k] = nested_update(base.get(k, {}), v) if isinstance(v, Mapping) else v
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