Merge branch 'master' into feat/demo_refactoring

This commit is contained in:
Whi Kwon
2019-08-17 14:21:55 +09:00
committed by GitHub
15 changed files with 745 additions and 24 deletions
+4 -1
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@@ -254,4 +254,7 @@ wandb
save
# pycharm
.idea
.idea
# vscode
.vscode
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@@ -0,0 +1,41 @@
<?xml version="1.0"?>
<launch>
<!-- gazebo related args -->
<arg name="paused" default="false"/>
<arg name="use_sim_time" default="true"/>
<arg name="gui" default="true"/>
<arg name="headless" default="false"/>
<arg name="debug" default="false"/>
<!-- robot URDF parse args -->
<arg name="om_urdf" value="robot_description"/>
<arg name="urdf_param" default="/robot_description"/>
<param name="$(arg om_urdf)" textfile="$(find kair_algorithms)/urdf/open_manipulator_cam.urdf.xacro"/>
<arg name="load_robot_description" default="false"/>
<!-- gazebo related -->
<rosparam file="$(find open_manipulator_gazebo)/config/gazebo_controller.yaml" command="load" />
<include file="$(find gazebo_ros)/launch/empty_world.launch">
<arg name="world_name" value="$(find open_manipulator_gazebo)/worlds/empty.world"/>
<arg name="debug" value="$(arg debug)" />
<arg name="gui" value="$(arg gui)" />
<arg name="paused" value="$(arg paused)"/>
<arg name="use_sim_time" value="$(arg use_sim_time)"/>
<arg name="headless" value="$(arg headless)"/>
</include>
<!--KDL chain related args-->
<param if="$(arg load_robot_description)" name="$(arg urdf_param)" command="$(find xacro)/xacro --inorder $(find kair_algorithms)/urdf/om.urdf"/>
<!-- Load the URDF into the ROS Parameter Server -->
<param name="robot_description"
command="$(find xacro)/xacro --inorder '$(find kair_algorithms)/urdf/open_manipulator_cam.urdf.xacro'"/>
<!-- Run a python script to the send a service call to gazebo_ros to spawn a URDF robot -->
<node name="urdf_spawner" pkg="gazebo_ros" type="spawn_model" respawn="false" output="screen"
args="-urdf -model open_manipulator -z 0.0 -param robot_description"/>
<!-- ros_control robotis manipulator launch file -->
<include file="$(find open_manipulator_gazebo)/launch/open_manipulator_controller.launch"/>
</launch>
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@@ -0,0 +1,83 @@
# -*- coding: utf-8 -*-
"""Abstract class used for Hindsight Experience Replay.
- Author: Kh Kim
- Contact: kh.kim@medipixel.io
- Paper: https://arxiv.org/pdf/1707.01495.pdf
"""
from abc import ABCMeta, abstractmethod
import numpy as np
class HER(object):
"""Abstract class for HER (final strategy).
Attributes:
reward_func (Callable): returns reward from state, action, next_state
"""
__metaclass__ = ABCMeta
def __init__(self, reward_func):
"""Initialization.
Args:
reward_func (Callable): returns reward from state, action, next_state
"""
self.reward_func = reward_func()
@abstractmethod
def fetch_desired_states_from_demo(self, demo):
pass
@abstractmethod
def get_desired_state(self, *args):
pass
@abstractmethod
def generate_demo_transitions(self, demo):
pass
@abstractmethod
def _get_final_state(self, transition):
pass
def _append_origin_transitions(self, origin_transitions, transition, desired_state):
"""Append original transitions adding goal state for training."""
origin_transitions.append(self._get_transition(transition, desired_state))
def _append_new_transitions(self, new_transitions, transition, final_state):
"""Append new transitions made by HER strategy (final) for training."""
new_transitions.append(self._get_transition(transition, final_state))
def _get_transition(self, transition, goal_state):
"""Get a single transition concatenated with a goal state."""
state, action, _, next_state, done = transition
done = np.array_equal(next_state, goal_state)
reward = self.reward_func(transition, goal_state)
state = np.concatenate((state, goal_state), axis=-1)
next_state = np.concatenate((next_state, goal_state), axis=-1)
return state, action, reward, next_state, done
def generate_transitions(
self, transitions, desired_state, success_score, is_demo=False
):
"""Generate new transitions concatenated with desired states."""
origin_transitions = list()
new_transitions = list()
final_state = self._get_final_state(transitions[-1])
score = np.sum(np.array(transitions), axis=0)[2]
for transition in transitions:
# process transitions with the initial goal state
self._append_origin_transitions(
origin_transitions, transition, desired_state
)
# do not need to append new transitions if sum of reward is big enough
if not is_demo and score <= success_score:
self._append_new_transitions(new_transitions, transition, final_state)
return origin_transitions + new_transitions
@@ -0,0 +1,19 @@
# -*- coding: utf-8 -*-
"""Abstract class for computing reward.
- Author: Kh Kim
- Contact: kh.kim@medipixel.io
"""
from abc import ABCMeta, abstractmethod
class RewardFn(object):
"""Abstract class for computing reward.
New compute_reward class should redefine __call__()
"""
__metaclass__ = ABCMeta
@abstractmethod
def __call__(self, transition, goal_state):
pass
+50 -10
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@@ -8,6 +8,7 @@
"""
import os
import pickle
import numpy as np
import torch
@@ -44,10 +45,11 @@ class Agent(AbstractAgent):
total_step (int): total step numbers
episode_step (int): step number of the current episode
i_episode (int): current episode number
her (HER): hinsight experience replay
"""
def __init__(self, env, args, hyper_params, models, optims, target_entropy):
def __init__(self, env, args, hyper_params, models, optims, target_entropy, her):
"""Initialization.
Args:
@@ -57,6 +59,7 @@ class Agent(AbstractAgent):
models (tuple): models including actor and critic
optims (tuple): optimizers for actor and critic
target_entropy (float): target entropy for the inequality constraint
her (HER): hinsight experience replay
"""
AbstractAgent.__init__(self, env, args)
@@ -69,6 +72,7 @@ class Agent(AbstractAgent):
self.total_step = 0
self.episode_step = 0
self.i_episode = 0
self.her = her
# automatic entropy tuning
if self.hyper_params["AUTO_ENTROPY_TUNING"]:
@@ -92,6 +96,50 @@ class Agent(AbstractAgent):
self.hyper_params["BUFFER_SIZE"], self.hyper_params["BATCH_SIZE"]
)
# HER
if self.hyper_params["USE_HER"]:
# load demo replay memory
with open(self.args.demo_path, "rb") as f:
demo = pickle.load(f)
if self.hyper_params["DESIRED_STATES_FROM_DEMO"]:
self.her.fetch_desired_states_from_demo(demo)
self.transitions_epi = list()
self.desired_state = np.zeros((1,))
demo = self.her.generate_demo_transitions(demo)
if not self.args.test:
# Replay buffers
self.memory = ReplayBuffer(
self.hyper_params["BUFFER_SIZE"], self.hyper_params["BATCH_SIZE"]
)
def _preprocess_state(self, state):
"""Preprocess state so that actor selects an action."""
if self.hyper_params["USE_HER"]:
self.desired_state = self.her.get_desired_state()
state = np.concatenate((state, self.desired_state), axis=-1)
state = torch.FloatTensor(state).to(device)
return state
def _add_transition_to_memory(self, transition):
"""Add 1 step and n step transitions to memory."""
if self.hyper_params["USE_HER"]:
self.transitions_epi.append(transition)
done = transition[-1] or self.episode_step == self.args.max_episode_steps
if done:
# insert generated transitions if the episode is done
transitions = self.her.generate_transitions(
self.transitions_epi,
self.desired_state,
self.hyper_params["SUCCESS_SCORE"],
)
self.memory.extend(transitions)
self.transitions_epi = list()
else:
self.memory.add(*transition)
def select_action(self, state):
"""Select an action from the input space."""
self.curr_state = state
@@ -111,11 +159,6 @@ class Agent(AbstractAgent):
return selected_action.detach().cpu().numpy()
def _preprocess_state(self, state):
"""Preprocess state so that actor selects an action."""
state = torch.FloatTensor(state).to(device)
return state
def step(self, action):
"""Take an action and return the response of the env."""
self.total_step += 1
@@ -133,10 +176,6 @@ class Agent(AbstractAgent):
return next_state, reward, done
def _add_transition_to_memory(self, transition):
"""Add 1 step and n step transitions to memory."""
self.memory.add(*transition)
def update_model(self, experiences):
"""Train the model after each episode."""
states, actions, rewards, next_states, dones = experiences
@@ -304,6 +343,7 @@ class Agent(AbstractAgent):
if self.args.log:
wandb.init()
wandb.config.update(self.hyper_params)
wandb.config.update(vars(self.args))
wandb.watch([self.actor, self.vf, self.qf_1, self.qf_2], log="parameters")
for self.i_episode in range(1, self.args.episode_num + 1):
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@@ -234,6 +234,7 @@ class Agent(AbstractAgent):
if self.args.log:
wandb.init()
wandb.config.update(self.hyper_params)
wandb.config.update(vars(self.args))
wandb.watch([self.actor, self.critic1, self.critic2], log="parameters")
for i_episode in range(1, self.args.episode_num + 1):
@@ -8,6 +8,7 @@
import numpy as np
import torch
import torch.optim as optim
from config.agent.lunarlander_continuous_v2.utils import LunarLanderContinuousHER
from algorithms.common.networks.mlp import MLP, FlattenMLP, TanhGaussianDistParams
from algorithms.sac.agent import Agent
@@ -38,6 +39,10 @@ hyper_params = {
"VF_HIDDEN_SIZES": [256, 256],
"QF_HIDDEN_SIZES": [256, 256],
},
# HER
"USE_HER": True,
"SUCCESS_SCORE": 250.0,
"DESIRED_STATES_FROM_DEMO": True,
}
@@ -52,6 +57,9 @@ def get(env, args):
state_dim = env.observation_space.shape[0]
action_dim = env.action_space.shape[0]
if hyper_params["USE_HER"]:
state_dim *= 2
hidden_sizes_actor = hyper_params["NETWORK"]["ACTOR_HIDDEN_SIZES"]
hidden_sizes_vf = hyper_params["NETWORK"]["VF_HIDDEN_SIZES"]
hidden_sizes_qf = hyper_params["NETWORK"]["QF_HIDDEN_SIZES"]
@@ -107,5 +115,8 @@ def get(env, args):
models = (actor, vf, vf_target, qf_1, qf_2)
optims = (actor_optim, vf_optim, qf_1_optim, qf_2_optim)
# HER
her = LunarLanderContinuousHER() if hyper_params["USE_HER"] else None
# create an agent
return Agent(env, args, hyper_params, models, optims, target_entropy)
return Agent(env, args, hyper_params, models, optims, target_entropy, her)
@@ -0,0 +1,67 @@
# -*- coding: utf-8 -*-
"""Utils for examples on LunarLanderContinuous-v2.
- Author: Kh Kim
- Contact: kh.kim@medipixel.io
"""
import numpy as np
from algorithms.common.abstract.her import HER
from algorithms.common.abstract.reward_fn import RewardFn
class L1DistanceRewardFn(RewardFn):
def __call__(self, transition, goal_state):
"""L1 Distance reward function."""
next_state = transition[3]
eps = 1e-6
if np.abs(next_state - goal_state).sum() < eps:
return np.float64(0.0)
else:
return np.float64(-1.0)
class LunarLanderContinuousHER(HER):
"""HER for LunarLanderContinuous-v2 environment.
Attributes:
demo_goal_indices (np.ndarray): indices about goal of demo list
desired_states (np.ndarray): desired states from demonstration
"""
def __init__(self, reward_func=L1DistanceRewardFn):
"""Initialization."""
HER.__init__(self, reward_func=reward_func)
# pylint: disable=attribute-defined-outside-init
def fetch_desired_states_from_demo(self, demo):
"""Return desired goal states from demonstration data."""
np_demo = np.array(demo)
self.demo_goal_indices = np.where(np_demo[:, 4])[0]
self.desired_states = np_demo[self.demo_goal_indices][:, 0]
def get_desired_state(self, *args):
"""Sample one of the desired states."""
return np.random.choice(self.desired_states, 1).item()
def _get_final_state(self, transition):
"""Get final state from transitions for making HER transitions."""
return transition[0]
def generate_demo_transitions(self, demo):
"""Return generated demo transitions for HER."""
new_demo = list()
# generate demo transitions
prev_idx = 0
for idx in self.demo_goal_indices:
demo_final_state = self._get_final_state(demo[idx])
transitions = [demo[i] for i in range(prev_idx, idx + 1)]
prev_idx = idx + 1
transitions = self.generate_transitions(
transitions, demo_final_state, 0, is_demo=True
)
new_demo.extend(transitions)
return new_demo
@@ -2,7 +2,6 @@ from math import pi
from geometry_msgs.msg import Quaternion
config = {
"ENV_NAME": "OpenManipulatorReacher",
"MAX_EPISODE_STEPS": 100,
@@ -1,9 +1,9 @@
#! usr/bin/env python
import numpy as np
import gym
import numpy as np
from gym.utils import seeding
from ros_interface import (
OpenManipulatorRosGazeboInterface,
OpenManipulatorRosRealInterface,
@@ -78,16 +78,15 @@ class OpenManipulatorReacherEnv(gym.Env):
# TODO: Add termination condition
# if self.ros_interface.check_for_termination():
# self.done = True
if self.ros_interface.check_for_success():
if (
self.ros_interface.check_for_success()
or self.episode_steps == self._max_episode_steps
):
self.done = True
self.episode_steps = 0
obs = self.ros_interface.get_observation()
if self.episode_steps == self._max_episode_steps:
self.done = False
self.episode_steps = 0
return obs, self.reward_rescale_ratio * self.reward, self.done, None
def reset(self):
@@ -6,6 +6,8 @@ from math import cos, sin
import gym
import numpy as np
import rospkg # noqa
import rospy # noqa
import tf # noqa
import tf.transformations as tr # noqa
@@ -16,8 +18,6 @@ from sensor_msgs.msg import JointState
from std_msgs.msg import Float64
from urdf_parser_py.urdf import URDF # noqa
import rospkg # noqa
class OpenManipulatorRosBaseInterface(object):
"""Open Manipulator Interface based on ROS."""
+1 -1
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@@ -3,9 +3,9 @@
from math import cos, pi, sin
import numpy as np
from config.environment.open_manipulator import config as cfg
import rospy
from config.environment.open_manipulator import config as cfg
from envs.open_manipulator import OpenManipulatorReacherEnv
from geometry_msgs.msg import Pose, Quaternion
from open_manipulator_msgs.msg import JointPosition, KinematicsPose
+2 -1
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@@ -10,8 +10,9 @@
import argparse
import importlib
import algorithms.common.helper_functions as common_utils
from config.environment.open_manipulator import config as env_cfg
import algorithms.common.helper_functions as common_utils
from envs.open_manipulator.open_manipulator_reacher_env import OpenManipulatorReacherEnv
# configurations
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@@ -0,0 +1,77 @@
<?xml version="1.0"?>
<robot xmlns:xacro="http://www.ros.org/wiki/xacro" name="camera">
<xacro:property name="pi" value="3.1415926535897931"/>
<xacro:macro name="camera_sensor" params="xyz rpy parent">
<joint name="camera_sensor_joint" type="fixed">
<axis xyz="0 1 0" />
<origin xyz="${xyz}" rpy="${rpy}"/>
<parent link="${parent}"/>
<child link="camera_link"/>
</joint>
<link name="camera_link">
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<box size="0.02 0.08 0.05"/>
</geometry>
</collision>
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<box size="0.02 0.08 0.05"/>
</geometry>
<material name="iRobot/Green"/>
</visual>
<inertial>
<mass value="0.0001" />
<origin xyz="0 0 0" rpy="0 0 ${pi}"/>
<inertia ixx="0.0000001" ixy="0" ixz="0" iyy="0.0000001" iyz="0" izz="0.0000001" />
</inertial>
</link>
<gazebo reference="camera_link">
<sensor type="camera" name="camera">
<update_rate>30.0</update_rate>
<camera name="head">
<horizontal_fov>1.3962634</horizontal_fov>
<image>
<width>800</width>
<height>600</height>
<format>R8G8B8</format>
</image>
<clip>
<near>0.02</near>
<far>300</far>
</clip>
<noise>
<type>gaussian</type>
<mean>0.0</mean>
<stddev>0.007</stddev>
</noise>
</camera>
<plugin name="camera_controller" filename="libgazebo_ros_camera.so">
<alwaysOn>true</alwaysOn>
<updateRate>0.0</updateRate>
<cameraName>camera</cameraName>
<imageTopicName>image_raw</imageTopicName>
<cameraInfoTopicName>camera_info</cameraInfoTopicName>
<frameName>camera_link</frameName>
<hackBaseline>0.07</hackBaseline>
<distortionK1>0.0</distortionK1>
<distortionK2>0.0</distortionK2>
<distortionK3>0.0</distortionK3>
<distortionT1>0.0</distortionT1>
<distortionT2>0.0</distortionT2>
</plugin>
</sensor>
</gazebo>
</xacro:macro>
</robot>
+380
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@@ -0,0 +1,380 @@
<?xml version="1.0"?>
<!-- Open_Manipulator Chain -->
<robot name="open_manipulator" xmlns:xacro="http://ros.org/wiki/xacro">
<!-- Import all Gazebo-customization elements, including Gazebo colors -->
<xacro:include filename="$(find open_manipulator_description)/urdf/open_manipulator.gazebo.xacro" />
<!-- Import Rviz colors -->
<xacro:include filename="$(find open_manipulator_description)/urdf/materials.xacro" />
<xacro:include filename="$(find kair_algorithms)/urdf/camera.urdf.xacro"/>
<!-- Transmission macro -->
<xacro:macro name="SimpleTransmission" params="joint n">
<transmission name="tran${n}">
<type>transmission_interface/SimpleTransmission</type>
<joint name="${joint}">
<hardwareInterface>hardware_interface/PositionJointInterface</hardwareInterface>
</joint>
<actuator name="motor${n}">
<hardwareInterface>hardware_interface/PositionJointInterface</hardwareInterface>
<mechanicalReduction>1</mechanicalReduction>
</actuator>
</transmission>
</xacro:macro>
<!-- World -->
<link name="world">
</link>
<!-- World fixed joint-->
<joint name="world_fixed" type="fixed">
<origin xyz="0 0 0" rpy="0 0 0"/>
<parent link="world"/>
<child link="link1"/>
</joint>
<!-- Link 1 -->
<link name="link1">
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link1.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link1.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<!-- <inertial>
<origin xyz="0 0 0" />
<mass value="0.082" />
<inertia ixx="0.1" ixy="0.0" ixz="0.0"
iyy="0.1" iyz="0.0"
izz="0.1" />
</inertial>-->
<inertial>
<origin xyz="3.0876154e-04 0.0000000e+00 -1.2176461e-04" />
<mass value="7.9119962e-02" />
<inertia ixx="1.2505234e-05" ixy="0.0" ixz="-1.7855208e-07"
iyy="2.1898364e-05" iyz="0.0"
izz="1.9267361e-05" />
</inertial>
</link>
<!-- Joint 1 -->
<joint name="joint1" type="revolute">
<parent link="link1"/>
<child link="link2"/>
<origin xyz="0.012 0.0 0.017" rpy="0 0 0"/>
<axis xyz="0 0 1"/>
<limit velocity="4.8" effort="1" lower="${-pi*0.9}" upper="${pi*0.9}" />
</joint>
<!-- Transmission 1 -->
<xacro:SimpleTransmission n="1" joint="joint1" />
<!-- Link 2 -->
<link name="link2">
<visual>
<origin xyz="0 0 0.019" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link2.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0 0 0.019" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link2.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<!-- <inertial>
<origin xyz="0 0 0" />
<mass value="0.098" />
<inertia ixx="0.1" ixy="0.0" ixz="0.0"
iyy="0.1" iyz="0.0"
izz="0.1" />
</inertial>-->
<inertial>
<origin xyz="-3.0184870e-04 5.4043684e-04 ${0.018 + 2.9433464e-02}" />
<mass value="9.8406837e-02" />
<inertia ixx="3.4543422e-05" ixy="-1.6031095e-08" ixz="-3.8375155e-07"
iyy="3.2689329e-05" iyz="2.8511935e-08"
izz="1.8850320e-05" />
</inertial>
</link>
<!-- Joint 2 -->
<joint name="joint2" type="revolute">
<parent link="link2"/>
<child link="link3"/>
<origin xyz="0.0 0.0 0.0595" rpy="0 0 0"/>
<axis xyz="0 1 0"/>
<limit velocity="4.8" effort="1" lower="${-pi*0.57}" upper="${pi*0.5}" />
</joint>
<!-- Transmission 2 -->
<xacro:SimpleTransmission n="2" joint="joint2" />
<!-- Link 3 -->
<link name="link3">
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link3.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link3.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<!-- <inertial>
<origin xyz="0 0 0" />
<mass value="0.136" />
<inertia ixx="0.1" ixy="0.0" ixz="0.0"
iyy="0.1" iyz="0.0"
izz="0.1" />
</inertial>-->
<inertial>
<origin xyz="1.0308393e-02 3.7743363e-04 1.0170197e-01" />
<mass value="1.3850917e-01" />
<inertia ixx="3.3055381e-04" ixy="-9.7940978e-08" ixz="-3.8505711e-05"
iyy="3.4290447e-04" iyz="-1.5717516e-06"
izz="6.0346498e-05" />
</inertial>
</link>
<!-- Joint 3 -->
<joint name="joint3" type="revolute">
<parent link="link3"/>
<child link="link4"/>
<origin xyz="0.024 0 0.128" rpy="0 0 0"/>
<axis xyz="0 1 0"/>
<limit velocity="4.8" effort="1" lower="${-pi*0.3}" upper="${pi*0.44}" />
</joint>
<!-- Transmission 3 -->
<xacro:SimpleTransmission n="3" joint="joint3" />
<!-- Link 4 -->
<link name="link4">
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link4.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link4.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<!-- <inertial>
<origin xyz="0 0 0" />
<mass value="0.131" />
<inertia ixx="0.1" ixy="0.0" ixz="0.0"
iyy="0.1" iyz="0.0"
izz="0.1" />
</inertial>-->
<inertial>
<origin xyz="9.0909590e-02 3.8929816e-04 2.2413279e-04" />
<mass value="1.3274562e-01" />
<inertia ixx="3.0654178e-05" ixy="-1.2764155e-06" ixz="-2.6874417e-07"
iyy="2.4230292e-04" iyz="1.1559550e-08"
izz="2.5155057e-04" />
</inertial>
</link>
<!-- Joint 4 -->
<joint name="joint4" type="revolute">
<parent link="link4"/>
<child link="link5"/>
<origin xyz="0.124 0.0 0.0" rpy="0 0 0"/>
<axis xyz="0 1 0"/>
<limit velocity="4.8" effort="1" lower="${-pi*0.57}" upper="${pi*0.65}" />
</joint>
<!-- Transmission 4 -->
<xacro:SimpleTransmission n="4" joint="joint4" />
<!-- Link 5 -->
<link name="link5">
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link5.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link5.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<!-- <inertial>
<origin xyz="0 0 0" />
<mass value="0.141" />
<inertia ixx="0.1" ixy="0.0" ixz="0.0"
iyy="0.1" iyz="0.0"
izz="0.1" />
</inertial>-->
<inertial>
<origin xyz="4.4206755e-02 3.6839985e-07 8.9142216e-03" />
<mass value="1.4327573e-01" />
<inertia ixx="8.0870749e-05" ixy="0.0" ixz="-1.0157896e-06"
iyy="7.5980465e-05" iyz="0.0"
izz="9.3127351e-05" />
</inertial>
</link>
<!-- Gripper link -->
<link name="gripper_link">
<visual>
<origin xyz="0.0 0.0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link_grip_l.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0.0 0.0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link_grip_l.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<inertial>
<origin xyz="0 0 0" />
<mass value="0.017" />
<inertia ixx="1.0e-03" ixy="0.0" ixz="0.0"
iyy="1.0e-03" iyz="0.0"
izz="1.0e-03" />
</inertial>
<!-- <inertial>
<origin xyz="${0.028 + 8.3720668e-03} ${0.0246 + 9.9696160e-03} -4.2836895e-07" />
<mass value="3.2218127e-02" />
<inertia ixx="9.5568826e-06" ixy="2.8424644e-06" ixz="-3.2829197e-10"
iyy="2.2552871e-05" iyz="-3.1463634e-10"
izz="1.7605306e-05" />
</inertial>-->
</link>
<!-- Gripper joint -->
<joint name="gripper" type="prismatic">
<parent link="link5"/>
<child link="gripper_link"/>
<origin xyz="0.0817 0.021 0.0" rpy="0 0 0"/>
<axis xyz="0 1 0"/>
<limit velocity="4.8" effort="1" lower="-0.010" upper="0.019" />
</joint>
<!-- Transmission 5 -->
<xacro:SimpleTransmission n="5" joint="gripper" />
<!-- Gripper link sub -->
<link name="gripper_link_sub">
<visual>
<origin xyz="0.0 -0.0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link_grip_r.stl" scale="0.001 0.001 0.001"/>
</geometry>
<material name="grey"/>
</visual>
<collision>
<origin xyz="0.0 -0.0 0" rpy="0 0 0"/>
<geometry>
<mesh filename="package://open_manipulator_description/meshes/chain_link_grip_r.stl" scale="0.001 0.001 0.001"/>
</geometry>
</collision>
<inertial>
<origin xyz="0 0 0" />
<mass value="0.017" />
<inertia ixx="1.0e-03" ixy="0.0" ixz="0.0"
iyy="1.0e-03" iyz="0.0"
izz="1.0e-03" />
</inertial>
<!-- <inertial>
<origin xyz="${0.028 + 8.3720668e-03} ${-0.0246 - 9.9696160e-03} -4.2836895e-07" />
<mass value="3.2218127e-02" />
<inertia ixx="9.5568826e-06" ixy="2.8424644e-06" ixz="-3.2829197e-10"
iyy="2.2552871e-05" iyz="-3.1463634e-10"
izz="1.7605306e-05" />
</inertial>-->
</link>
<!-- Gripper joint sub -->
<joint name="gripper_sub" type="prismatic">
<parent link="link5"/>
<child link="gripper_link_sub"/>
<origin xyz="0.0817 -0.021 0" rpy="0 0 0"/>
<axis xyz="0 -1 0"/>
<limit velocity="4.8" effort="1" lower="-0.010" upper="0.019" />
<mimic joint="gripper" multiplier="1"/>
</joint>
<!-- Transmission 6 -->
<xacro:SimpleTransmission n="6" joint="gripper_sub" />
<!-- end effector joint -->
<joint name="end_effector_joint" type="fixed">
<origin xyz="0.126 0.0 0.0" rpy="0 0 0"/>
<parent link="link5"/>
<child link="end_effector_link"/>
</joint>
<!-- end effector link -->
<link name="end_effector_link">
<visual>
<origin xyz="0 0 0" rpy="0 0 0"/>
<geometry>
<box size="0.01 0.01 0.01" />
</geometry>
<material name="red"/>
</visual>
<inertial>
<origin xyz="0.0 0.0 0.0" rpy="0 0 0"/>
<mass value="0.001"/>
<inertia ixx="1.0e-06" ixy="0.0" ixz="0.0" iyy="1.0e-06" iyz="0.0" izz="1.0e-06" />
</inertial>
</link>
<!--Camera link and plugin-->
<xacro:camera_sensor xyz="0.2 0 ${0.4 + 0.2}"
rpy="0 1.57 0"
parent="world">
</xacro:camera_sensor>
</robot>