Robot Arm Automation
Robot Arm Automation - Related Videos
10:32
Robotic Mirror Therapy System for Functional Recovery of Hemiplegic Arms
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Cited by 26 •
2016
We developed a real-time mirror robot system for functional recovery of hemiplegic arms using automatic control technology, conducted a clinical study on healthy subjects, and determined tasks through feedback from rehabilitation doctors. This simple mirror robot can be applied effectively to occupational therapy in stroke patients with a hemiplegic arm.
05:47
Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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Cited by 1 •
2025
Here, we present a protocol for the simulation and monitoring of a scaled semi-automated assembly process, through the collaboration of a collaborative robot and verification via a computer vision system for quality control.
10:14
Automated Robotic Dispensing Technique for Surface Guidance and Bioprinting of Cells
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Cited by 9 •
2016
This protocol describes a bioprinting methodology using an automated robotic depositing system that incorporates etched topographical guidance cues with the precision deposition of a cell bearing hydrogel bioink. The printed cells are directly delivered to the etched features and are able to sense and orientate with them.
10:47
High-throughput, Automated Extraction of DNA and RNA from Clinical Samples using TruTip Technology on Common Liquid Handling Robots
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Cited by 13 •
2013
TruTip is a simple nucleic acid extraction technology whereby a porous, monolithic binding matrix is inserted into a pipette tip. Consequently, the sample preparation format is compatible with most liquid handling instruments, and can be used for many medium to high-throughput clinical applications and sample types.
09:00
Investigating Pain-Related Avoidance Behavior using a Robotic Arm-Reaching Paradigm
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Cited by 12 •
2020
Avoidance is central to chronic pain disability, yet adequate paradigms for examining pain-related avoidance are lacking. Therefore, we developed a paradigm that allows investigating how pain-related avoidance behavior is learned (acquisition), spreads to other stimuli (generalization), can be mitigated (extinction), and how it may subsequently re-emerge (spontaneous recovery).
FAQs
Actuators produce the arm’s movement, sensors provide information used during operation, and end effectors interact with laboratory items. Together, these components allow the manipulator to handle microplates, tubes, reagents, and other materials according to programmed positions and timing. Their coordinated operation supports consistent transfers between workflow stages and helps connect physical sample handling with biochemical analysis.
Programmed positions and timing coordinate when and where materials move among laboratory instruments and processing steps. This coordination helps the system repeat the same sequence across samples instead of relying on changing manual actions. In biochemical workflows, consistent movement and scheduling can reduce variation between operators while supporting orderly sample preparation, liquid handling, assays, and analysis.
The main contribution is consistency in repetitive physical operations. A robot arm can perform material transfers with programmed positioning, timing, speed, and repeatability, reducing differences that may arise when operators handle samples manually. This supports more uniform workflow execution, allowing researchers to process samples under a consistent handling sequence and generate biochemical data with improved reproducibility.
A typical workflow assigns programmed positions and timing for materials, then uses the robotic manipulator and its end effector to move microplates, tubes, reagents, or other items between designated instruments and processing stages. The coordinated sequence can support sample preparation, liquid-handling operations, biochemical assays, and high-throughput analysis, depending on the laboratory workflow being automated.
The approach is suited to workflows containing repeated transfers and coordinated instrument steps. Supported examples include sample preparation, liquid-handling workflows, biochemical assays, and high-throughput analysis. Moving microplates, tubes, and reagents between instruments can reduce repetitive manual work and help laboratories handle more samples while maintaining a consistent sequence of physical operations.
Researchers may choose it when a workflow requires repeated handling of many samples, coordination among instruments, or consistent movement of laboratory materials. Its value is especially relevant to high-throughput analysis, where processing more samples efficiently must be balanced with reproducible handling. The resulting integration can reduce operator-dependent variation and support more consistent biochemical experimental data.