Robotic Platform
Robotic Platform - Related Videos
10:12
A Robotic Platform for High-throughput Protoplast Isolation and Transformation
0 Views •
Cited by 21 •
2016
A high-throughput, automated, tobacco protoplast production and transformation methodology is described. The robotic system enables massively parallel gene expression and discovery in the model BY-2 system that should be translatable to non-model crops.
07:27
Robotics in Surgery: A Modular Robotic Platform Driven Gastric Wedge Resection
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2025
Robotically assisted surgery has become highly popular in recent years. Presented here is the standard care for upper gastrointestinal procedures, including a demonstration of a robotic-assisted gastric wedge resection using a modular robotic device.
09:00
Insect-controlled Robot: A Mobile Robot Platform to Evaluate the Odor-tracking Capability of an Insect
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Cited by 18 •
2016
The capability to localize an odor source is necessary for insect survival and is expected to be applicable to artificial odor-tracking. The insect-controlled robot is driven by an actual silkmoth and enables us to evaluate the odor-tracking capability of insects through a robotic platform.
08:53
A Robotic Platform to Study the Foreflipper of the California Sea Lion
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Cited by 6 •
2017
A robotic platform is described that will be used to study the hydrodynamic performance—forces and flowfields—of the swimming California sea lion. The robot is a model of the animal's foreflipper that is actuated by motors to replicate the motion of its propulsive stroke (the 'clap').
10:34
Designing and Implementing Nervous System Simulations on LEGO Robots
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Cited by 7 •
2013
An approach to neural network modeling on the LEGO Mindstorms robotics platform is presented. The method provides a simulation tool for invertebrate neuroscience research in both the research lab and the classroom. This technique enables the investigation of biomimetic robot control principles.
FAQs
The hardware performs physical movements and transfers, while control software directs the sequence, timing, and instrument interactions according to a predefined protocol. Robotic arms can position containers, and liquid-handling tools move samples or reagents between them. Coordinating these components allows each stage to follow the intended order and helps standardize processing across many genetic samples.
Consistent timing and movement reduce variation introduced by repeated manual handling. When samples and reagents are processed according to the same programmed sequence, researchers can improve reproducibility and reduce opportunities for contamination. This consistency is particularly valuable when a workflow handles many samples, because small differences in manual execution could otherwise affect the comparability of results.
Predefined protocols translate a laboratory workflow into ordered instructions for sample transfers, reagent handling, and instrument control. They establish a repeatable sequence that the system can apply across experiments, supporting standardized execution and traceability. In genetic studies, this structure helps connect the physical processing steps with downstream procedures such as PCR setup, genotyping, or sequencing library preparation.
Automation can make the execution of a chosen procedure more consistent and traceable, but it does not determine the scientific question, assay design, or interpretation of genetic data. The researcher still specifies the workflow and protocol. The robotic system then records or follows the intended sequence of handling, helping link standardized processing with the resulting experimental data.
A typical workflow specifies the protocol, places samples and reagents in designated containers, and programs the system to transfer materials in the required sequence. The platform may then coordinate the relevant laboratory instruments before producing material for a later genetic analysis. Exact steps vary with the workflow, including DNA extraction, PCR setup, genotyping, or library preparation.
These systems are especially useful when researchers must process many samples through a repeated workflow. High-throughput DNA extraction, PCR setup, genotyping, and sequencing library preparation are supported examples. Automation increases processing capacity while maintaining consistent handling, making it practical to apply the same protocol across a large sample set and generate genetic data more efficiently.
Researchers can assess whether automation improves reproducibility, traceability, and processing capacity. They can also examine whether consistent sample and reagent handling reduces manual variation and contamination risk. The resulting workflow may support more efficient generation of genetic data, particularly when many samples must pass through standardized extraction, amplification, genotyping, or sequencing preparation steps.