Skip to main content

Python wrapper for the PSYONIC Ability Hand API

Project description

Python Ability Hand Python Wrapper

This PSYONIC Ability Hand wrapper is a asynchronous multithreaded library that can send position, velocity, current and duty messages to the hand and parse its position, velocity, current and touch sensor feedback.

Install Python

The Python package requires a Python 3.10 or higher. Check your version using:

python3 --version

Install Pip Package

Preferably using a virtual env install the pip package using:

python3 -m pip install ability-hand

If you are wanting to use the simulator it is best to clone the repository and work with the raw files.

git clone git@github.com:psyonicinc/ability-hand-api.git

Enable UART & Byte Stuffing using App

The Python wrapper uses serial communication and requires byte stuffing to be enabled. It is recommended to use byte stuffing, for more info see section 3.5.5 in the API Documentation.

To enable UART and byte stuffing from the PSYONIC app select:

Scan ➡️ SELECT HAND ➡️ Gear Icon ⚙️ (Top Right) ➡️ Troubleshoot ➡️ Developer Mode

and issue the following commands individually.

We16
We46
We47

Run examples

Motor Example With Postion Velcocity and Torque Feedback

Run the motor plot example by entering the following into a terminal:

Linux / macOS

plot_motors

Windows (If the above does not work)

python3 -m ah_examples.plot_motors

Touch Sensors Example

The Ability Hand also has 30 touch sensors (6 per finger) which you can see responding in real time by running the example

Linux / macOS

plot_touch_sensors

Windows (If the above does not work)

python3 -m ah_examples.plot_touch_sensors

Below is a map of each sensor and it's associated plot color.

isolated

Motor Example Without Plots

Running examples with plotting in real time using python uses alot of processing power, and you may see some stutters. Run the hand wave without plots using.

Linux / macOS

hand_wave

Windows (If the above does not work)

python3 -m ah_examples.hand_wave

You can press Ctrl + c to stop

Run in Terminal / Integrate with Code

You can look at the AHSerialClient documentation to see available commands and arguments associated with the class but below is a break-down and examples you can run.


Create Client

First open a python terminal and import the wrapper and AHSerialClient class

from ah_wrapper import AHSerialClient

and create a client instance:

client = AHSerialClient()

This will automatically find a serial connection to the hand and start a thread for writing and reading data from the hand. Any time you issue a set function (i.e. set_position, set_duty, set_command) the command that the write thread issues will be updated, i.e. the client will repeatedly send the most recent target / command. The hand must receive a command every 300ms or else it will exit its API control mode.


Set and Send Position Targets

Update the command with a position target using:

client.set_position([50,50,50,50,50,-50])

This will set all fingers to this desired position. Note that finger indexes always follow the following pattern [index, middle, ring, pinky, thumb flexor, thumb rotator]. Note that the thumb rotator operates in a [0,-100] range and the rest of the fingers are in a [0,100] range.


Understanding Hand class

You can ensure that the feedback from the hand class is correct by issuing:

client.hand.get_position()

Each client has its own Hand class. You can see all the public Hand class commands for reading values here


Set and Send Duty Targets

You can also pass a single argument to a set command, and it will apply it to each of the fingers. For example to set a -10% duty (valid range is [-100,100]) to all fingers, issue.

client.set_duty(-10)

Any of the set commands can take either one argument or will take an array of six values as seen above. If you pass a single value it will apply it to all fingers equally.


Set and Send Torque Targets

Try sending a small amount of torque and notice that the fingers will stop moving if anything gets in their way.

client.set_torque([0.1,0.1,0.1,0.1,0.1,-0.1])

client.set_torque(-0.1)

You can also verify the current draw is not going over the desired set_torque amount.

client.hand.get_current()


Reply Modes

If you issue a client.hand.get_velocity() command you will notice it returns nothing, this is because we have only been sending reply_mode=0 as default, and we have never received any velocity feedback.

The reply modes are as following starting with a 0 index.

  1. Finger position, current, touch sensors
  2. Finger position, rotor velocity, touch sensor
  3. Finger position, current, rotor velocity

Simply pass the reply_mode argument to any set_ command.

client.set_position(30, reply_mode=1)


Send Grip Commands

Lastly you can send individual grip commands from the datasheet.

client.set_grip(0x10)


Closing Client

Lastly finish any session using

client.close()

This will stop any threads sending and receiving commands to the ability hand.


Further examples

In most typical integrations you will create your own write thread and send messages manually using AHSerialClient.send_command() see hand_wave.py or plot_motors.py for examples on how to do that.

Note that in this above example a write thread was constantly sending the current target at 500hz and a read thread was parsing feedback responses. See AHSerialClient for more details

You can update the target that send_command sends using any of the set_ commands, or you can build the message manually and pass that as an argument to the send command.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ability_hand-0.2.0.tar.gz (56.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

ability_hand-0.2.0-py3-none-any.whl (60.7 kB view details)

Uploaded Python 3

File details

Details for the file ability_hand-0.2.0.tar.gz.

File metadata

  • Download URL: ability_hand-0.2.0.tar.gz
  • Upload date:
  • Size: 56.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for ability_hand-0.2.0.tar.gz
Algorithm Hash digest
SHA256 de434dba429a4041622e53410186edd3512b4a82f1eed98097673b4ab9482cab
MD5 ba5df45d85923e8ad3b52f90f64e53d3
BLAKE2b-256 7f392231527cf7fe935c2886c6d2e26482f02b057c847d752d07b9b3bb244ea4

See more details on using hashes here.

File details

Details for the file ability_hand-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: ability_hand-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 60.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.12

File hashes

Hashes for ability_hand-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c525b643dba8f0cdf00fdeaa8adfbafb76c4ca5fc49bba79637c6c6d23dc3d5a
MD5 f3879a90d5b4a0c140929989c92d0272
BLAKE2b-256 f79918cca5e364fa427ee6d0bde12f6bc727f7354b102f668dc2de77a7477515

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page