Browse Technologies

Displaying 1 - 10 of 30


System and Methods for Contact Detection and Localization in Continuum Robots

This technology expands the capabilities of continuum robots with a system and method that enables them to detect instances of contact and to estimate the position of the contact. This framework allows the motion of the robot to be constrained so as to ensure the robot doesn't damage itself, another robot arm, or surrounding environments. 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

MemoryMonitor: A 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

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

Wireless Tablet Application for Remote Collaboration and Training in Colonoscopy

Colorectal cancer is the fourth leading cause of cancer-related mortality in the world. During patient screenings for populations at risk, polyp detection rates depend on the endoscopist's ability to identify the lesions, which takes years of practice and training. Endoscopic training can be challenging for the trainee and preceptor. Frustration can result from ineffective communication regarding areas of interest. Our team developed a novel tablet application for real-time mirroring of the colonoscopy examination that allows preceptors to make annotations directly on the viewing monitor that facilitates medical training and enables collaboration among several endoscopists during a procedure.


Licensing Contact

Masood Machingal

615.343.3548

Highly Accurate Radio Chip Localization Technology

Summary: This technology, developed at Vanderbilt University's Institute for Software Integrated Systems, uses radio interferometry to locate tangible objects and attains, simultaneously, a higher degree of accuracy (within 3 centimeters), considerably longer range (up to 160 meters) and lower cost than other technologies.


Licensing Contact

Peter Rousos

615.343.4465

TagDock: An Efficient Rigid Body Molecular Docking Algorithm For Three Dimensional Models of Oligomeric Biomolecular Complexes With Limited Experimental Restraint Data

TagDock is an efficient rigid body molecular docking algorithm that generates three-dimensional models of oligomeric biomolecular complexes in instances where there is limited experimental restraint data to guide the docking calculations. Through "distance difference analysis" TagDock additionally recommends followup experiments to further discriminate divergent (score-degenerate) clusters of TagDock's initial solution models


Licensing Contact

Masood Machingal

615.343.3548

Ultrasonic Sensor for Non-intrusive Local Temperature, Transient Temperature and Heat Flux Measurements

An apparatus for measuring the temperature and heat flux of materials through the use of an ultrasonic sensor has been developed at Vanderbilt University. The sensor uses acoustic measurement techniques to determine the heat flux and temperature of material surfaces otherwise inaccessible in particular during system operation in order to enhance monitoring capabilities and reduce unsafe or impaired function due to extreme temperatures.


Licensing Contact

Ashok Choudhury

615.322.2503

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

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