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https://github.com/Adlink-ROS/adlink_neuronbot
ROS2/DDS robot pkg for human following and swarm
https://github.com/Adlink-ROS/adlink_neuronbot
adlink dds ros ros2
Last synced: 25 days ago
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ROS2/DDS robot pkg for human following and swarm
- Host: GitHub
- URL: https://github.com/Adlink-ROS/adlink_neuronbot
- Owner: Adlink-ROS
- License: apache-2.0
- Created: 2018-03-13T03:25:59.000Z (almost 7 years ago)
- Default Branch: v2.0
- Last Pushed: 2019-01-23T07:53:52.000Z (almost 6 years ago)
- Last Synced: 2024-08-04T00:03:32.497Z (4 months ago)
- Topics: adlink, dds, ros, ros2
- Language: Python
- Homepage: https://neuron.adlinktech.com/en/
- Size: 2.25 MB
- Stars: 14
- Watchers: 6
- Forks: 6
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
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README
# ADLINK NeuronBot
## Abstract
The purpose of this pkg is to demonstrate two main features of ADLINK Neuron miniITX platform.
1. Computing Power:
The host robot is able to follow human by integrating all outputs from SPENCER robot framework, intel "object analytics" pkg and laser based leg_tracker pkg.
ADLINK Neuron illustates its computing power to run these detecting/tracking algorithms smoothly. (HOG+SVM, CNN, Template matching, EKF, MobileNetSSD, etc)
2. ROS2/DDS Capabilities:
The host robot (for following) is publishing its own pose with respect to known map through ROS2/DDS layer while following a human.
On the other hand, the client robot (random wandering), could avoid the host robot by receiving host's pose and replaning its path.
[Official Slides] https://github.com/Adlink-ROS/adlink_neuronbot/blob/master/document/ADLINK_NeuronBot_20180313.pdf
[Youtube Video] https://youtu.be/RC6XvTvTs9Y
[Youtube Video] https://youtu.be/qA4_Hmnd_tM
[![alt text](http://img.youtube.com/vi/RC6XvTvTs9Y/0.jpg)](https://youtu.be/RC6XvTvTs9Y)## Developers & Team
HaoChih Lin
Alan Chen
Chester Tseng
Bill Wang
Erik Boasson
Ryan Chen
ADLINK Technology, Inc
Advanced Robotic Platform Group## License
Apache 2.0
Copyright 2018 ADLINK Technology, Inc.## Tutorial
### System Prerequisite
[Packages]
* Realsense D400
Source: https://github.com/intel-ros/realsense
Notice: About RealSense SDK 2.0, we highly recommed binary version.
Testing: $ roslaunch realsense2_camera demo_pointcloud.launch
* Astra Pro OR Astra (alternative choose for camera)
Binary: $ sudo apt-get install ros-kinetic-astra*
Source: https://github.com/orbbec/ros_astra_camera
Notice: Remember to create udev. If possible, please buy Astra instead of Astra Pro!
* YDLidar
Source: https://github.com/EAIBOT/ydlidar
Notice: Remember to laod udev. Could be replaced by any type of lidar.
Testing: $ roslaunch ydlidar x4.launch
* Navigation
Binary: $ sudo apt-get install ros-kinetic-navigation*
Source: https://github.com/ros-planning/navigation
Notice: if "replan" mode of global planner is malfunctioned, please compile whole pkgs from source.
Testing: $ roslaunch spencer_people_tracking_launch tracking_on_bagfile.launch
* SPENCER
Binary: https://github.com/spencer-project/spencer_people_tracking#installation-from-l-cas-package-repository
Source: https://github.com/spencer-project/spencer_people_tracking#installation-from-source
Notice: Unless you want to use HOG+SVM [CUDA required], we highly recommend binary version.
* Intel object analytics
Source: https://github.com/intel/ros_object_analytics
Notice: Tested with NCSDK v1.12, ros_object_analytics should be "devel" branch
Testing:
** movidius_ncs **
$ roslaunch realsense2_camera demo_pointcloud.launch
$ roslaunch movidius_ncs_launch ncs_camera.launch cnn_type:=mobilenetssd input_topic:=/camera/color/image_raw
$ roslaunch movidius_ncs_launch ncs_stream_detection_example.launch camera_topic:="/camera/color/image_raw"
** object_analytics **
$ roslaunch realsense2_camera demo_pointcloud.launch
$ roslaunch object_analytics_launch analytics_movidius_ncs.launch input_points:=/camera/depth/color/points
* leg_tracker
Source: https://github.com/angusleigh/leg_tracker
Notice: The kinetic branch only supports OpenCv 3.3 and higher ver.
Testing: $ roslaunch leg_tracker demo_stationary_simple_environment.launch
* Turtlebot2
Binaty: $ sudo apt-get install ros-kinetic-turtlebot
Source: https://github.com/turtlebot/turtlebot
Notice: We highly recommed you to install binary version.
### Launching Steps
* Mapping & Time Synchronizing
* Host robot (for following)
$ roslaunch adlink_neuronbot NeuronBot_Demo_Host_AIO.launch
OR (script)
$ ./PATH_TO_WORKSPACE/adlink_neuronbot/autostart/NeuronBot_Demo_Host_AutoStart.sh
* Client robot (for avoidance)
$ roslaunch adlink_neuronbot NeuronBot_Demo_Client_AIO.launch
OR (script)
$ ./PATH_TO_WORKSPACE/adlink_neuronbot/autostart/NeuronBot_Demo_Client_AutoStart.sh### Known Issues
* Q: move_base replanning does not work
A: update your move_base pkg to the latest one, or compile it from source### Roadmap
* Fix PCL detector
* ROS2 driver for camera
* Fix followMe node (fused inputs version)
* Create custom ROS2/DDS msg
* Integrate with object_analytics