Browse Technologies

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Robust Learning Algorithms in Adversarial Environments

Vanderbilt engineers have developed an algorithmic framework for machine learning under the threat of adversarial evasion. The framework leverages a game theoretic model of interaction between the learner and an evading attacker, and makes use of modern optimization tools to increase robustness of learning algorithms as they are used in operational settings.


Licensing Contact

Yiorgos Kostoulas

615.322.9790

Algorithms for Compliant Insertion and Motion Control of Continuum Robots

This technology enables continuum robots (aka snake robots) to precisely navigate the intricate structures of deep anatomical passages during minimally invasive or natural orifice surgery. Collateral surgical damage is minimized by the force sensing capabilities of the algorithms used.


Licensing Contact

Ashok Choudhury

615.322.2503

Algorithms for Contact Detection and Contact Localization in Continuum Robots

This technology enhances the capabilities of continuum robots by not only detecting contact during movement but also estimating the position of the contact during the movements executed by the robot. An algorithmic feedback loop can then constrain the movement of the robot to avoid damage to its robot arm, damage to another robot arm or damage to surrounding structure. Applications for this technology include enhanced safe telemanipulation for multi-arm continuum robots in surgery, micro-assembly in confined spaces, and exploration in unknown environments.


Licensing Contact

Ashok Choudhury

615.322.2503

Data-driven Agent-based Modeling Architecture

A team of engineers at Vanderbilt University has developed a data-driven agent-based modeling framework that can be used in forecasting consumer behavior for product adoption purposes. The architecture turns agent-based modeling into a reliable forecasting tool at both individual and population level resolutions.


Licensing Contact

Masood Machingal

615.343.3548

Dual Interlocked Logic (DIL) Circuit

Vanderbilt researchers have developed a novel combinatorial logic circuit that prevents the propagation of signal glitches such as those caused by radiation-induced transients. The interlocked-feedback circuit accomplishes this without the loss of any speed. The circuit is designed for robustness in both combinatorial and sequential logic applications.


Licensing Contact

Ashok Choudhury

615.322.2503

Marker Enrichment Modeling (MEM) Software for Automated Cell Population Characterization and Identification in Complex Tissue Microenvironments

Marker enrichment modeling (MEM) provides a crucial missing piece for true machine learning analysis of cell identities and phenotypes in complex tissue microenvironments, including human immune disorders and cancer.


Licensing Contact

Masood Machingal

615.343.3548

MemoryMonitor: An real time neuroscientific learning monitor that knows whether you will later remember something you see

We all wish that we could know if we were going to later remember something, the moment that new information enters our brain. For example, if we could predict whether our children would later remember a vocabulary word, then we could have them spend more time on the words they will not remember. A group of neuroscientists at Vanderbilt University has developed a way of measuring and analyzing brain activity that achieves this goal of predicting later memory as we study and view new information. The procedure involves measuring brainwaves from just two electrodes on the head as people view pictures, words, or virtually any kind of information that a person hopes to remember later.


Licensing Contact

Masood Machingal

615.343.3548

Model-based Compression Correction Framework for Ultrasound

Vanderbilt researchers have developed a system that corrects for compressional effects in ultrasound data during soft tissue imaging. The system uses tracking and digitization information to detect the pose of the ultrasound probe during imaging, and then couples this information with a biomechanical model of the tissue to correct compressional effects during intraoperative imaging.


Licensing Contact

Ashok Choudhury

615.322.2503

Motion Generator to Transform Linear into Nutation Motion

This novel device converts linear motion into nutating motion and can create large angles from small linear displacements. The invention uniquely provides control and precision in the use of nutation motion making it particularly adaptable to micro-applications.


Licensing Contact

Ashok Choudhury

615.322.2503

Relative GPS Tracking for Improved Accuracy

Vanderbilt researchers have developed a new method for use with GPS that improves tracking accuracy. The approach uses relative motions of multiple nodes (phones, vehicles, etc. that contain GPS chips) in the same network to pinpoint location as opposed to computing absolute coordinates. This method significantly improves accuracy, enabling sub-meter location accuracy at a sampling rate of one hertz. Current GPS methods can be off by more than 10 meters due to signal interference or multipath effects.


Licensing Contact

Ashok Choudhury

615.322.2503