A method of optimizing synthetic conditions includes receiving a graph-type descriptor comprising at least one of structural information of at least one reactant and structural information of a target product to be synthesized by the reactant; determining combinations of synthetic conditions for generating the target product by applying the graph-type descriptor to a prediction neural network model; selecting at least one initial condition combination from among the combinations based on a first confidence corresponding to a yield of the combinations; updating the prediction neural network model based on a ground-truth yield obtained from a result of an experiment with the initial condition combination; determining a priority of the combinations based on the updated prediction neural network model; and determining subsequent combinations of synthetic conditions based on the determined priority.

Provided is an operation command generation device including: an execution order determination unit configured to determine, based on respective arrangement positions of a plurality of process symbols each representing a process for a process subject on a protocol chart including the plurality of process symbols, an execution order of the plurality of process symbols; and a process symbol conversion unit configured to respectively convert the plurality of process symbols into jobs for a process system including at least a robot so that processes represented by the plurality of process symbols are executed in the execution order determined by the execution order determination unit.

Provided is an operation command generation device, which is configured to generate an operation command, which is a collection of jobs to fee performed by a process system of at least a robot, based on a protocol chart of at least a plurality of process symbols, the operation command generation device circuitry includes: a job generation unit configured to generate, based on the protocol chart, a job; apriority instruction unit configured to instruct a priority condition for determining a job execution order; and an execution order determination unit configured to determine an execution order of the jobs based on the priority instructed by the priority instruction unit by using a first condition about repeatedly execution of the jobs according to the number of the containers and a second condition about execution order of the jobs according to the arrangement of the process symbols in the protocol chart.

Provided is an operation command generation device configured to generate an operation command, which is a collection of jobs to be carried out by a process system including a robot based on a protocol chart including a process symbol representing a process to be carried out on a container containing a process subject, the operation command generation device including: a process job generation unit configured to generate, based on the process symbol, a job for causing the process system to carry out the process on the container at a work area; and a transfer job generation unit configured to generate, when the process represented by the process symbol is not a process to be carried out on the same container, a job to transfer the container from the work area to a retreat area after the process represented by the process symbol has been carried out.

A system for placing sample tubes into tube receptacles includes a sample handling device that includes an electrical signal, relating to an operating condition, such as a position error, a tube receptacle, and a processor configured to control the sample handling device in response to the electrical signal. The processor observes the operating condition for signal artifacts that indicate that a sample vessel being placed has encountered a holding spring and subsequently the bottom of the tube receptacle. The processor provides substantially real-time control of the motion of the sample handling device in response.

A robotic sample handling system (100) may be provided for performing sample handling tasks in a laboratory environment. The system may comprise at least one robotic arm (140), (142) which is controllable to be positioned in a plane parallel to a work area and along a Z-axis perpendicular to the work area, and a controller (180) configured to control the robotic arm to position and operate the robotic arm as part of a sample handling task. The work area may comprise a module (204) for use with one or more of the samples, wherein the module comprises a mechanism which is actuatable by downward force, and wherein the controller is configured to control the robotic arm to actuate the mechanism by pushing downward in Z-direction. For example, the module may be a stand (204) for a sample container which comprise a push-push mechanism which may be operated by the robotic arm to bring the sample in the sample container in a vicinity of an effector, such as a magnet or a heat source.

Computer systems (130, 120, 230) support a production process with a first sub-process to process a chemical substance at a production site and with a second sub-process to analyze a physical sample of the chemical substance at a laboratory site. A process control system (120) provides first type data (A) to identify physical samples, and a manufacturing system (130) provides second type data (B) that are required to control a production process. Connector modules (105, 205) transmit the data (A, B) in a message (150) to a laboratory system (230) to obtain laboratory data, as an analysis result. The connector module (205) that is associated with the laboratory system (230) distributes the data according to the types. A control signal module (139) derives a control signal (136/138) for controlling the production process. This control signal closes a control loop for adjusting the first sub-process until the laboratory data shows compliance.

The present invention provides an automated modular system and method for production of biopolymers including DNA and RNA. The system and method automates the complete production process for biopolymers. Modular equipment is provided for performing production steps with the individual modules arrange in a linear array. Each module includes a control system and can be rack mounted. One side of the array of modules provides connections for power, gas, vacuum and reagents and is accessible to technicians. On the other side of the array of modules a robotic transport system is provided for transporting materials between module interfaces. The elimination of the requirement for human intervention at multiple steps in the production process significantly decreases the costs of biopolymer production and reduces unnecessary complexity and sources of quality variation.

The present invention provides an automated modular system and method for production of biopolymers including DNA and RNA. The system and method automates the complete production process for biopolymers. Modular equipment is provided for performing production steps with the individual modules arrange in a linear array. Each module includes a control system and can be rack mounted. One side of the array of modules provides connections for power, gas, vacuum and reagents and is accessible to technicians. On the other side of the array of modules a robotic transport system is provided for transporting materials between module interfaces. The elimination of the requirement for human intervention at multiple steps in the production process significantly decreases the costs of biopolymer production and reduces unnecessary complexity and sources of quality variation.

A method of generating a robot operation command includes extracting a work command from an overall work flow; extracting, from a command definition database, a command definition corresponding to the extracted work command, the work command having been read; generating, by referring to the read work command, a set of unit jobs in which at least one work command is arranged in order, based on the extracted command definition; generating, for a plurality of unit jobs, a connecting job for causing a robot to be moved from an end position of a previous unit job to a start position of a subsequent unit job; and generating a robot operation command in which the unit jobs and the connecting job are continuous.