support for contexts, policy classes, pd controller example, breaking changes etc

This commit is contained in:
Maximilian Huettenrauch
2021-02-11 10:49:57 +01:00
parent 07195fa2dc
commit c81378b9e7
9 changed files with 807 additions and 262 deletions
@@ -0,0 +1,360 @@
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<body name="B13" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_13" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_13" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G13" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B14" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_14" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_14" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G14" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B15" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_15" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_15" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G15" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B16" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_16" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_16" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G16" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B17" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_17" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_17" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G17" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B18" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_18" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_18" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G18" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B19" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_19" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_19" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G19" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B20" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_20" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_20" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G20" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B21" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_21" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_21" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G21" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B22" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_22" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_22" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G22" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B23" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_23" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_23" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G23" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B24" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_24" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_24" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G24" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B25" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_25" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_25" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G25" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B26" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_26" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_26" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G26" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B27" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_27" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_27" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G27" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B28" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_28" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_28" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G28" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="B29" pos="0.0107 0 0">
<inertial pos="0 0 0" quat="0.707107 0 0.707107 0" mass="7.4927e-05" diaginertia="5.87e-10 5.87e-10 3.74635e-11" />
<joint name="J0_29" pos="-0.00535 0 0" axis="0 1 0" group="3" limited="false" damping="0.0001" frictionloss="0" />
<joint name="J1_29" pos="-0.00535 0 0" axis="0 0 1" group="3" limited="false" damping="0.0001" frictionloss="0" />
<geom name="G29" size="0.001 0.00427" quat="0.707107 0 0.707107 0" type="capsule" rgba="0.8 0.2 0.1 1" />
<body name="ball">
<geom name="ball_geom" type="sphere" size="0.02" mass="0.021" rgba="0.8 0.2 0.1 1"/>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
</body>
<site name="context_point" pos="0 0.05 0.1165" euler="-1.57 0 0" size="0.015" rgba="1 0 0 0.6" type="sphere"/>
<site name="context_point1" pos="-0.5 -0.85 0.8165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point2" pos="-0.5 -0.85 1.4165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point3" pos="-0.5 -0.35 0.8165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point4" pos="-0.5 -0.35 1.4165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point5" pos="0.5 -0.85 0.8165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point6" pos="0.5 -0.85 1.4165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point7" pos="0.5 -0.35 0.8165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_point8" pos="0.5 -0.35 1.4165" euler="-1.57 0 0" size="0.015" rgba="0 1 0 0.3" type="sphere"/>
<site name="context_space" pos="0 -0.6 1.1165" euler="0 0 0" size="0.5 0.25 0.3" rgba="0 0 1 0.15" type="box"/>
<camera name="visualization" mode="targetbody" target="wam/wrist_yaw_link" pos="1.5 -0.4 2.2"/>
<camera name="experiment" mode="fixed" quat="0.44418059 0.41778323 0.54301123 0.57732103" pos="1.5 -0.3 1.33" />
</worldbody>
<actuator>
<!-- <motor ctrllimited="true" ctrlrange="-150 150" joint="wam/base_yaw_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-125 125" joint="wam/shoulder_pitch_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-40 40" joint="wam/shoulder_yaw_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-60 60" joint="wam/elbow_pitch_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-5 5" joint="wam/wrist_yaw_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-5 5" joint="wam/wrist_pitch_joint"/>-->
<!-- <motor ctrllimited="true" ctrlrange="-2 2" joint="wam/palm_yaw_joint"/>-->
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="150.0" joint="wam/base_yaw_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="125.0" joint="wam/shoulder_pitch_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="40.0" joint="wam/shoulder_yaw_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="60.0" joint="wam/elbow_pitch_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="5.0" joint="wam/wrist_yaw_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="5.0" joint="wam/wrist_pitch_joint"/>
<motor ctrllimited="true" ctrlrange="-1.0 1.0" gear="2.0" joint="wam/palm_yaw_joint"/>
</actuator>
</mujoco>
@@ -1,7 +1,8 @@
import numpy as np
from alr_envs.mujoco import alr_reward_fct
class BallInACupReward:
class BallInACupReward(alr_reward_fct.AlrReward):
def __init__(self, sim_time):
self.sim_time = sim_time
@@ -14,7 +15,6 @@ class BallInACupReward:
"forearm_link_convex_decomposition_p1_geom",
"forearm_link_convex_decomposition_p2_geom"]
self.ctxt_id = None
self.ball_id = None
self.ball_collision_id = None
self.goal_id = None
@@ -34,8 +34,7 @@ class BallInACupReward:
self.dists_final = []
self.costs = []
def compute_reward(self, action, sim, step):
self.ctxt_id = sim.model._site_name2id['context_point']
def compute_reward(self, action, sim, step, context=None):
self.ball_id = sim.model._body_name2id["ball"]
self.ball_collision_id = sim.model._geom_name2id["ball_geom"]
self.goal_id = sim.model._site_name2id["cup_goal"]
@@ -50,59 +49,26 @@ class BallInACupReward:
goal_final_pos = sim.data.site_xpos[self.goal_final_id]
self.dists.append(np.linalg.norm(goal_pos - ball_pos))
self.dists_final.append(np.linalg.norm(goal_final_pos - ball_pos))
# dists_ctxt.append(np.linalg.norm(ball_pos - ctxt))
self.ball_traj[step, :] = ball_pos
if self.check_collision(sim):
return -1000, False, True
# self._get_cost(ball_pos, goal_pos, goal_final_pos, action,
# sim.data.get_site_xpos('context_point').copy(), step)
# min_dist = np.min(self.dists)
# dist_final = self.dists_final[-1]
action_cost = np.sum(np.square(action))
# cost = self.get_stage_wise_cost(ball_in_cup, min_dist, self.dists_final[-1]) # , self.dists_ctxt[-1])
if step == self.sim_time - 1:
min_dist = np.min(self.dists)
dist_final = self.dists_final[-1]
cost = 0.5 * min_dist + 0.5 * dist_final
# cost = 3 + 2 * (0.5 * min_dist ** 2 + 0.5 * dist_final ** 2)
reward = np.exp(-2 * min_dist) - 1e-5 * action_cost
success = dist_final < 0.05 and min_dist < 0.05
reward = np.exp(-2 * cost) - 1e-5 * action_cost
success = dist_final < 0.05 and ball_in_cup
else:
cost = 0
reward = - 1e-5 * action_cost
success = False
# action_cost = np.mean(np.sum(np.square(torques), axis=1), axis=0)
return reward, success, False
def get_stage_wise_cost(self, ball_in_cup, min_dist, dist_final): #, dist_to_ctxt):
# stop_sim = False
cost = 3 + 2 * (0.5 * min_dist ** 2 + 0.5 * dist_final ** 2)
# if not ball_in_cup:
# # cost = 3 + 2*(0.5 * min_dist + 0.5 * dist_final)
# cost = 3 + 2*(0.5 * min_dist**2 + 0.5 * dist_final**2)
# else:
# # cost = 2*dist_to_ctxt
# cost = 2*dist_to_ctxt**2
# stop_sim = True
# # print(dist_to_ctxt-0.02)
# print('Context Distance:', dist_to_ctxt)
return cost
def _get_cost(self, ball_pos, goal_pos, goal_pos_final, u, ctxt, t):
cost = 0
if t == self.sim_time*0.8:
dist = 0.5*np.linalg.norm(goal_pos-ball_pos)**2 + 0.5*np.linalg.norm(goal_pos_final-ball_pos)**2
# dist_ctxt = np.linalg.norm(ctxt-goal_pos)**2
cost = dist # +dist_ctxt
return cost
def check_ball_in_cup(self, sim, ball_collision_id):
cup_base_collision_id = sim.model._geom_name2id["cup_base_contact"]
for coni in range(0, sim.data.ncon):
@@ -1,38 +1,41 @@
from gym.envs.mujoco import mujoco_env
from alr_envs.mujoco import alr_mujoco_env
from gym import utils, spaces
import os
import numpy as np
from alr_envs.mujoco.ball_in_a_cup.ball_in_a_cup_reward import BallInACupReward
import mujoco_py
class ALRBallInACupEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def __init__(self, pd_control=True):
class ALRBallInACupEnv(alr_mujoco_env.AlrMujocoEnv, utils.EzPickle):
def __init__(self, reward_function=None):
self._steps = 0
self.pd_control = pd_control
self.xml_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), "assets",
"ball-in-a-cup_base" + ".xml")
"biac_base" + ".xml")
self.sim_time = 8 # seconds
self.sim_steps = int(self.sim_time / (0.0005 * 4)) # circular dependency.. sim.dt <-> mujocoenv init <-> reward fct
self.reward_function = BallInACupReward(self.sim_steps)
self.reward_function = reward_function(self.sim_steps)
self.start_pos = np.array([0.0, 0.58760536, 0.0, 1.36004913, 0.0, -0.32072943, -1.57])
self.start_vel = np.zeros(7)
# self.start_pos = np.array([0.58760536, 1.36004913, -0.32072943])
self._q_pos = []
self._q_vel = []
# self.weight_matrix_scale = 50
self.p_gains = 1*np.array([200, 300, 100, 100, 10, 10, 2.5])
self.d_gains = 1*np.array([7, 15, 5, 2.5, 0.3, 0.3, 0.05])
self.max_ctrl = np.array([150., 125., 40., 60., 5., 5., 2.])
self.p_gains = 1 / self.max_ctrl * np.array([200, 300, 100, 100, 10, 10, 2.5])
self.d_gains = 1 / self.max_ctrl * np.array([7, 15, 5, 2.5, 0.3, 0.3, 0.05])
self.j_min = np.array([-2.6, -1.985, -2.8, -0.9, -4.55, -1.5707, -2.7])
self.j_max = np.array([2.6, 1.985, 2.8, 3.14159, 1.25, 1.5707, 2.7])
self.context = None
utils.EzPickle.__init__(self)
mujoco_env.MujocoEnv.__init__(self, os.path.join(os.path.dirname(__file__), "assets", "ball-in-a-cup_base.xml"),
frame_skip=4)
alr_mujoco_env.AlrMujocoEnv.__init__(self,
self.xml_path,
apply_gravity_comp=True,
n_substeps=4)
@property
def current_pos(self):
@@ -42,96 +45,68 @@ class ALRBallInACupEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def current_vel(self):
return self.sim.data.qvel[0:7].copy()
def configure(self, context):
self.context = context
def reset_model(self):
init_pos_all = self.init_qpos.copy()
init_pos_robot = self.start_pos
init_vel = np.zeros_like(init_pos_all)
ball_id = self.sim.model._body_name2id["ball"]
goal_final_id = self.sim.model._site_name2id["cup_goal_final"]
# self.set_state(start_pos, start_vel)
self._steps = 0
self.reward_function.reset()
self._q_pos = []
self._q_vel = []
start_pos = init_pos_all
start_pos[0:7] = init_pos_robot
self.set_state(start_pos, init_vel)
# Reset the system
self.sim.data.qpos[:] = init_pos_all
self.sim.data.qvel[:] = init_vel
self.sim.data.qpos[0:7] = init_pos_robot
# self.sim.data.qpos[:] = init_pos_all
# self.sim.data.qvel[:] = init_vel
# self.sim.data.qpos[0:7] = init_pos_robot
#
# self.sim.step()
#
# self.sim.data.qpos[:] = init_pos_all
# self.sim.data.qvel[:] = init_vel
# self.sim.data.qpos[0:7] = init_pos_robot
# self.sim.data.body_xpos[ball_id, :] = np.copy(self.sim.data.site_xpos[goal_final_id, :]) - np.array([0., 0., 0.329])
#
# # Stabilize the system around the initial position
# for i in range(0, 500):
# self.sim.data.qpos[7:] = 0.
# self.sim.data.qvel[7:] = 0.
# # self.sim.data.qpos[7] = -0.2
# cur_pos = self.sim.data.qpos[0:7].copy()
# cur_vel = self.sim.data.qvel[0:7].copy()
# trq = self.p_gains * (init_pos_robot - cur_pos) + self.d_gains * (np.zeros_like(init_pos_robot) - cur_vel)
# self.sim.data.qfrc_applied[0:7] = trq + self.sim.data.qfrc_bias[:7].copy()
# self.sim.step()
# self.render()
#
# for i in range(0, 500):
# cur_pos = self.sim.data.qpos[0:7].copy()
# cur_vel = self.sim.data.qvel[0:7].copy()
# trq = self.p_gains * (init_pos_robot - cur_pos) + self.d_gains * (np.zeros_like(init_pos_robot) - cur_vel)
# self.sim.data.qfrc_applied[0:7] = trq + self.sim.data.qfrc_bias[:7].copy()
# self.sim.step()
# self.render()
self.sim.step()
self.sim.data.qpos[:] = init_pos_all
self.sim.data.qvel[:] = init_vel
self.sim.data.qpos[0:7] = init_pos_robot
self.sim.data.body_xpos[ball_id, :] = np.copy(self.sim.data.site_xpos[goal_final_id, :]) - np.array([0., 0., 0.329])
# Stabilize the system around the initial position
for i in range(0, 2000):
self.sim.data.qpos[7:] = 0.
self.sim.data.qvel[7:] = 0.
# self.sim.data.qpos[7] = -0.2
cur_pos = self.sim.data.qpos[0:7].copy()
cur_vel = self.sim.data.qvel[0:7].copy()
trq = self.p_gains * (init_pos_robot - cur_pos) + self.d_gains * (np.zeros_like(init_pos_robot) - cur_vel)
self.sim.data.qfrc_applied[0:7] = trq + self.sim.data.qfrc_bias[:7].copy()
self.sim.step()
# self.render()
for i in range(0, 2000):
cur_pos = self.sim.data.qpos[0:7].copy()
cur_vel = self.sim.data.qvel[0:7].copy()
trq = self.p_gains * (init_pos_robot - cur_pos) + self.d_gains * (np.zeros_like(init_pos_robot) - cur_vel)
self.sim.data.qfrc_applied[0:7] = trq + self.sim.data.qfrc_bias[:7].copy()
self.sim.step()
# self.render()
def do_simulation(self, ctrl, n_frames):
# cur_pos = self.sim.data.qpos[0:7].copy()
# cur_vel = self.sim.data.qvel[0:7].copy()
# des_pos = ctrl[:7]
# des_vel = ctrl[7:]
# trq = self.p_gains * (des_pos - cur_pos) + self.d_gains * (des_vel - cur_vel)
if self.pd_control:
self.sim.data.qfrc_applied[0:7] = ctrl + self.sim.data.qfrc_bias[:7].copy()
else:
self.sim.data.ctrl[:] = ctrl
for _ in range(n_frames):
try:
self.sim.step()
except mujoco_py.builder.MujocoException as e:
print("Error in simulation: " + str(e))
# error = True
# Copy the current torque as if it would have been applied until the end of the trajectory
# for i in range(k + 1, sim_time):
# torques.append(trq)
return True
return False
return self._get_obs()
def step(self, a):
# Apply gravity compensation
# if not np.all(self.sim.data.qfrc_applied[:7] == self.sim.data.qfrc_bias[:7]):
# self.sim.data.qfrc_applied[:7] = self.sim.data.qfrc_bias[:7]
reward_dist = 0.0
angular_vel = 0.0
# if self._steps >= self.steps_before_reward:
# vec = self.get_body_com("fingertip") - self.get_body_com("target")
# reward_dist -= self.reward_weight * np.linalg.norm(vec)
# angular_vel -= np.linalg.norm(self.sim.data.qvel.flat[:self.n_links])
reward_ctrl = - np.square(a).sum()
# reward_balance = - self.balance_weight * np.abs(
# angle_normalize(np.sum(self.sim.data.qpos.flat[:self.n_links]), type="rad"))
#
# reward = reward_dist + reward_ctrl + angular_vel + reward_balance
# self.do_simulation(a, self.frame_skip)
crash = self.do_simulation(a)
joint_cons_viol = self.check_traj_in_joint_limits()
crash = self.do_simulation(a, self.frame_skip)
self._q_pos.append(self.sim.data.qpos[0:7].ravel().copy())
self._q_vel.append(self.sim.data.qvel[0:7].ravel().copy())
@@ -153,17 +128,7 @@ class ALRBallInACupEnv(mujoco_env.MujocoEnv, utils.EzPickle):
def check_traj_in_joint_limits(self):
return any(self.current_pos > self.j_max) or any(self.current_pos < self.j_min)
def check_collision(self):
for coni in range(0, sim.data.ncon):
con = sim.data.contact[coni]
collision = con.geom1 in self.collision_ids and con.geom2 == self.ball_collision_id
collision_trans = con.geom1 == self.ball_collision_id and con.geom2 in self.collision_ids
if collision or collision_trans:
return True
return False
# TODO: extend observation space
def _get_obs(self):
theta = self.sim.data.qpos.flat[:7]
return np.concatenate([
@@ -187,8 +152,9 @@ class ALRBallInACupEnv(mujoco_env.MujocoEnv, utils.EzPickle):
des_vel_full[5] = des_vel[2]
return des_vel_full
if __name__ == "__main__":
env = ALRBallInACupEnv()
env = ALRBallInACupEnv(reward_function=BallInACupReward)
env.reset()
env.render()
for i in range(4000):
@@ -196,7 +162,8 @@ if __name__ == "__main__":
# test with random actions
# ac = 0.1 * env.action_space.sample()
# ac = -np.array([i, i, i]) / 10000 + np.array([env.start_pos[1], env.start_pos[3], env.start_pos[5]])
ac = np.array([0., -0.1, 0, 0, 0, 0, 0])
# ac = np.array([0., -10, 0, -1, 0, 1, 0])
ac = np.array([0.,0., 0, 0, 0, 0, 0])
# ac[0] += np.pi/2
obs, rew, d, info = env.step(ac)
env.render()