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Container for various workcells/workflows for the RPL

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rpl-workcell

Background on Workcells, Carts, Modules, and Workflows

We define conventional hardware and software configurations for robotic equipment and control software in order to simplify the assembly, modification, and scaling of experimental systems. The following figure shows our hardware conventions:

  • A cart is a cart with zero or more modules
  • A module is an hardware component with a name, type, position, etc. (e.g., Pealer, Sealer, OT2 liquid handling robot, plate handler, plate mover, camera)
  • A workcell, as show on the left of the image, is formed from multiple (8 in the photo on the left) carts that typically hold multiple modules (12 in the example, as described below).
  • Multiple workcells and other components can be linked via mobile robots

Image of a workcell with eight carts, connected via mobile robots to other workcells; on the far right, a workflow definition.

A workcell definition (a YAML file, see below) defines the modules that comprise a workcell, and associated static infrastructure that are to be used by the workflow.

The software associated with a workflow is then defined by three types of files:

  • A driver program, in Python, sets up to call one or more workflows
  • A workflow definition, in YAML, define a set of actions to be executed, in order, on one or more of the modules in the workcell
  • A protocol definition, in YAML, defines a set of steps to be performed, in order, on a specified OpenTrons OT2

The figure illustrates the three components for a simple "Color Picker" application that we use to illustrate the use of the technology.

Software involved in Color Picker.

Workcell definition

A workcell definition is a YAML file (e.g., pcr_workcell.yaml) comprising two sections, config and modules:

The config section defines various infrastructure services that may be used elsewhere in the workcell. For example, here is the config from the example just listed.

  ros_namespace: rpl_workcell                                 # ROS variable namespace name
  compute_local_ep: "299edea0-db9a-4693-84ba-babfa655b1be"      # UUID for compute endpoint used for local computations
  globus_local_ep: ""                                         #
  globus_search_index: "aefcecc6-e554-4f8c-a25b-147f23091944" # UUID for the Globus Search instance
  globus_portal_ep: "bb8d048a-2cad-4029-a9c7-671ec5d1f84d"    # UUID for the portal to which data may be published
  globus_group: "dda56f31-53d1-11ed-bd8b-0db7472df7d6"        #

The modules section lists the modules that are included in the workcell. In the example just listed, there are 12 in total:

For example, this module specification included in pcr_workcell.yaml described the Sealer module:

  - name: sealer                     # A name used for the module in the workflow: its "alias"
    type: wei_ros_node               # Indicates that module uses ROS2
    model: sealer                    # Not used at present
    config:
      ros_node: "/std_ns/SealerNode" # ROS2 network name (in name space)
    positions:                       # One or more spatial locations, with name
      default: [205.128, -2.814, 264.373, 365.863, 79.144, 411.553]

The positions here are relative to the PF400 and are expressed in terms of PF400 joint angles.

For other modules, a module specification could include things like protocol and IP port.

Workflow definition

This is specified by a YAML file that defines the sequence of actions that will be executed in order on the hardware. E.g., see this example, shown also in the following, and comprising four sections:

  • metadata: Descriptive metadata for the workflow
  • workcell: The location of the workcell for which the workflow is designed
  • modules: A list of the modules included in the workcell--four in this case.
  • flowdef: A list of steps, each with a name, module, command, and arguments.
metadata:
  name: PCR - Workflow
  author: Casey Stone, Rafael Vescovi
  info: Initial PCR workflow for RPL workcell
  version: 0.1

workcell: /home/rpl/workspace/rpl_workcell/pcr_workcell/pcr_workcell.yaml

modules:
  - name: ot2_gamma
  - name: pf400
  - name: camera

flowdef:
  - name: Move from Camera Module to OT2
    module: pf400
    command: transfer
    args:
      source: camera_module.positions.plate_station
      target: ot2_gamma.positions.deck2
      source_plate_rotation: narrow
      target_plate_rotation: wide
    comment: Place plate in ot2

  - name: Mix all colors
    module: ot2_gamma
    command: run_protocol
    args:
      config_path:  /home/rpl/workspace/rpl_workcell/color_picker/protocol_files/combined_protocol.yaml
      red_volumes: payload.red_volumes
      green_volumes: payload.green_volumes
      blue_volumes: payload.blue_volumes
      destination_wells: payload.destination_wells
      use_existing_resources: payload.use_existing_resources
    comment: Mix the red portions according to input data

  - name: Move to Picture
    module: pf400
    command: transfer
    args:
      source: ot2_gamma.positions.deck2
      target: camera_module.positions.plate_station
      source_plate_rotation: wide
      target_plate_rotation: narrow

  - name: Take Picture
    module: camera_module
    command: take_picture
    args:
      save_location: local_run_results
      file_name: "final_image.jpg"

This workflow uses three of 12 modules defined in the workcell definition earlier, pf400, ot2_pcr_gamma, and camera_module. It comprises four steps:

  • Transfer a plate from camera_module.positions.plate_station to ot2_gamma.positions.deck2, while rotating the plate 90 degrees
  • Run the "protocol" defined by the file ot2_pcr_config.yaml. This file specifies a sequence of steps to be performed on the hardware.
  • Transfer the plate to the camera
  • Take a picture of the plate

While a workflow and a protocol both specify a sequence of actions to be performed, they are quite different in role and syntax. A workflow uses a hardware-independent notation to specify actions to perform on one or more modules (e.g., action A1 on module M1, action A2 on module M2); a protocol uses a hardware-specific notation to specify steps to be performed on a single module (e.g., OT2). Why workflow and protocol? Perhaps because this technology was developed by a partnership of computer scientists ("module", "workflow") and biologists ("protocol") 😀

Protocol definition

A protocol file gives the device-specific instructions to be executed on a specific piece of hardware to implement an intended action. For example, ot2_pcr_config.yaml gives instructions for an OpenTrons OT2. A protocol file specifies a list of equipment within the hardware component; a sequence of commands to be executed on the equipment; and some describptive metadata. For example, the following shows the contents of combined_protocol.yaml, which comprise the equipment section, three commands, and the metadata section.

Strings of the form payload.VARIABLE (e.g., payload.destination_wells) refer to arguments passed to the protocol.

The "location" argument here is OT2-specific: it indicates one of 11 plate locations, numbered 1..11:

An "alias" argument defines a string that can be used to refer to a position later in the specifrication: e.g., the fourth line in the YAML below specifies that location "7" can be referred to as "source".

The wells within a plate are referred to via their column and row, e.g., A1.

The following specification describes an OT2 with the following components:

  • In location 7: A 6-well rack of 50 ml tubes. (These are used to contain the different colors that are to be mixed, in wells A1, A2, and A3.
  • In each of locations 8 and 9: A 96-well rack of 300 ul wells.
equipment:
  - name: opentrons_6_tuberack_nest_50ml_conical
    location: "7"
    alias: source  # Define "source" as an alias for location 7
  - name: opentrons_96_tiprack_300ul
    location: "8"
  - name: opentrons_96_tiprack_300ul
    location: "9"

commands:
  - name: Mix Color 1                       # Transfer fluid: A1 -> specified locations
    source: source:A1
    destination: payload.destination_wells  # Destination wells for transfers (argument)
    volume: payload.red_volumes             # Volumes to be transferred  (argument)
    dispense_clearance: 2
    aspirate_clearance: 1
    drop_tip: False

  - name: Mix color 2
    source: source:A2
    destination: payload.destination_wells
    volume: payload.green_volumes
    dispense_clearance: 2
    aspirate_clearance: 1
    drop_tip: False

  - name: Mix color 3
    source: source:A3
    destination: payload.destination_wells
    volume: payload.blue_volumes
    dispense_clearance: 2
    aspirate_clearance: 1
    mix_cycles: 3
    mix_volume: 100
    drop_tip: False

metadata:
  protocolName: Color Mixing all
  author: Kyle khippe@anl.gov
  description: Mixing all colors
  apiLevel: "2.12"

Command file

A Python program defines the process required to run an experiment. E.g., see color_picker_loop.py for a color picker program, which calls three workflows:

  • First, if needed, cp_wf_newplate.yaml
  • Then, the workflow given above, cp_wf_mixcolor.yaml
  • Finally, as needed, cp_wf_trashplate.yaml