nf-robot 3.7.0

Robot control system for Stringman

nf_robot

Control code for the Stringman household robotic crane from Neufangled Robotics

Build Guides and Documentation

Purchase assembled robots or kits at neufangled.com

Installation of stringman controller

Linux (python 3.11 or later)

sudo apt install python3-dev python3-virtualenv python3-pip ffmpeg
python3 -m virtualenv venv
source venv/bin/activate
pip install "nf_robot[host]"

Start headless robot controller in LAN-only mode. The particular robot details will be read from/saved to bedroom.conf

stringman-headless --config=bedroom.conf

Minimum system specs

At least 8 cores and 8GB of ram. In order to perform local inference, some kind of pytorch accelertion is necessary. Mini PC's or laptops based on the Ryzen 7 7840HS are probably about the cheapest machines that can run stringman's motion controller since it has an NPU that can be used to accelerate pytorch. A mac mini is also a viable option.

Otherwise, any gaming PC is usually more than enough.

Installation of Robot Control Panel (developers)

git clone https://github.com/nhnifong/cranebot3-firmware.git

sudo apt install python3-dev python3-virtualenv python3-pip ffmpeg
python -m virtualenv venv
source venv/bin/activate
pip install -e ".[host,dev,pi]"

If you have an RTX 5090

pip install --force-reinstall torch==2.8.0 torchvision==0.23.0 torchaudio==2.8.0 torchcodec==0.6.0 --index-url https://download.pytorch.org/whl/cu129

Run tests

pytest tests

Setting up a component

Robot components that boot from the stringman-zero2w.img (1.6GB) image should begin looking for wifi share codes with their camera immediately. You can produce a code with qifi.org

Once the pi sees the code it will connect to the network and remember those settings. It should then be discoverable by the control panel via multicast DNS (Bonjour)

Starting from a base rpi image

Alternatively the software can be set up from a fresh raspberry pi lite 64 bit image. After booting any raspberry pi from a fresh image, perform an update

sudo apt update -y && sudo apt full-upgrade -y -o Dpkg::Options::="--force-confold" && sudo apt install -y git python3-dev python3-virtualenv rpicam-apps i2c-tools

Clone the cranebot-firmware repo

git clone https://github.com/nhnifong/cranebot3-firmware.git && cd cranebot3-firmware

Set the component type by uncommenting the appropriate line in server.conf

nano server.conf

Install stringman

chmod +x install.sh
sudo ./install.sh

Additional settings for anchors

Setup for any raspberry pi that will be part of an anchor Enable uart serial harware interface interactively.

sudo raspi-config

In interface optoins, select serial port. disable the login shell, but enable hardware serial.

add the following lines lines to to /boot/firmware/config.txt at the end this disables bluetooth, which would otherwise occupy the uart hardware. Then reboot after this change

enable_uart=1
dtoverlay=disable-bt

Additional settings for gripper

Setup for the raspberry pi in the gripper with the inventor hat mini Enable i2c

sudo raspi-config nonint do_i2c 0

Add this line to /boot/firmware/config.txt just under dtparam=i2c_arm=on and reboot

dtparam=i2c_baudrate=400000

Rebuilding the python module

within a venv install the build tools

python3 -m pip install --upgrade build twine

Bump the version number in pyproject.toml then at this repo's root, build the module. Artifacts will be in dist/

python3 -m build

Upload the particular version you just built to PyPi

python3 -m twine upload dist/nf_robot-3.4.4*

QA scripts

Note that if you are proceeding to QA scripts right after doing the steps above you must reboot and then stop the service before running those scrips.

sudo reboot now

log back in

sudo systemctl stop cranebot.service

Run QA scripts for the specific component type

/opt/robot/env/bin/qa-anchor anchor|power_anchor
/opt/robot/env/bin/qa-gripper
/opt/robot/env/bin/qa-gripper-arp

These scripts both check whether everything is connected as it should be and in the case of anchors, set whether it is a power anchor or not.

To update to the lastest nf_robot version in a component

/opt/robot/env/bin/pip install --upgrade "nf_robot[pi]"

Training models

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