xm_arm_manipulation | metapackage implements the first generation
kandi X-RAY | xm_arm_manipulation Summary
kandi X-RAY | xm_arm_manipulation Summary
xm_arm_manipulation is a Python library. xm_arm_manipulation has no bugs, it has no vulnerabilities and it has low support. However xm_arm_manipulation build file is not available. You can download it from GitHub.
Function: This metapackage implements the first generation of our xmbot's arm manipulation. Package: 1.xm_arm_bringup: Bring up arm or gripper's controllers and other default parameters to initialize states. 2.xm_arm_control: This package implements some important componets about joint's action and service to provide interfaces with state machine. 3.xm_arm_teleop: Control arm with gripper by using keyboard. 4.xm_arm_test: Test arm's manipulation. Summary: In this version, though whole arm's pick and place pipeline only uses four joint's dof instead of six, we achieve a simple arm manipulation with our xmbot successfully! In the future version, in lower layer, we plan to rewrite arm's underlying codes to make more fiexible control and encapsulate codes for being called by statemachine more easily. And for upper layer, we will use moveit package to achieve simple motion planning. To sum up, next version can implement complete arm manipulation really. Use: First to ensure that the stm32 serial port wire, the servo controller serial wire as well as kinect have been connected to the laptop. Particularly, for the serial wire, it must be connected to the stm32 first, and then connect the servo controller(because stm32: /dev/ttyUSB0, servo controller: /dev/ttyUSB1) 1.Change the serial port of the executable permission: sudo chmod 777 /dev/ttyUSB* 2.Start the mechanical arm and gripper action server: roslaunch xm_arm_bringup xm_arm_and_gripper_bringup.launch 3.Start robothw and serial port node: roslaunch xm_bringup xm_robothw_and_serial_bringup.launch 4.Start kinect's openni driver: roslaunch openni_launch openni.launch 5.Start kinect's two-dimensional code recognition: roslaunch xm_ar_tags ar_indiv_kinect.launch 6.Start kinect's object recognition: rosrun xm_object_cui main_test 7.Start object grasping's state machine: rosrun xm_strategy object_smach.py.
Function: This metapackage implements the first generation of our xmbot's arm manipulation. Package: 1.xm_arm_bringup: Bring up arm or gripper's controllers and other default parameters to initialize states. 2.xm_arm_control: This package implements some important componets about joint's action and service to provide interfaces with state machine. 3.xm_arm_teleop: Control arm with gripper by using keyboard. 4.xm_arm_test: Test arm's manipulation. Summary: In this version, though whole arm's pick and place pipeline only uses four joint's dof instead of six, we achieve a simple arm manipulation with our xmbot successfully! In the future version, in lower layer, we plan to rewrite arm's underlying codes to make more fiexible control and encapsulate codes for being called by statemachine more easily. And for upper layer, we will use moveit package to achieve simple motion planning. To sum up, next version can implement complete arm manipulation really. Use: First to ensure that the stm32 serial port wire, the servo controller serial wire as well as kinect have been connected to the laptop. Particularly, for the serial wire, it must be connected to the stm32 first, and then connect the servo controller(because stm32: /dev/ttyUSB0, servo controller: /dev/ttyUSB1) 1.Change the serial port of the executable permission: sudo chmod 777 /dev/ttyUSB* 2.Start the mechanical arm and gripper action server: roslaunch xm_arm_bringup xm_arm_and_gripper_bringup.launch 3.Start robothw and serial port node: roslaunch xm_bringup xm_robothw_and_serial_bringup.launch 4.Start kinect's openni driver: roslaunch openni_launch openni.launch 5.Start kinect's two-dimensional code recognition: roslaunch xm_ar_tags ar_indiv_kinect.launch 6.Start kinect's object recognition: rosrun xm_object_cui main_test 7.Start object grasping's state machine: rosrun xm_strategy object_smach.py.
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xm_arm_manipulation has a low active ecosystem.
It has 4 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
xm_arm_manipulation has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of xm_arm_manipulation is current.
Quality
xm_arm_manipulation has no bugs reported.
Security
xm_arm_manipulation has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
xm_arm_manipulation does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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xm_arm_manipulation releases are not available. You will need to build from source code and install.
xm_arm_manipulation has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed xm_arm_manipulation and discovered the below as its top functions. This is intended to give you an instant insight into xm_arm_manipulation implemented functionality, and help decide if they suit your requirements.
- Send joint state
- This function transforms the jupyter plot
Get all kandi verified functions for this library.
xm_arm_manipulation Key Features
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xm_arm_manipulation Examples and Code Snippets
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Community Discussions
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Vulnerabilities
No vulnerabilities reported
Install xm_arm_manipulation
You can download it from GitHub.
You can use xm_arm_manipulation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use xm_arm_manipulation like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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