The author developed a tracking and telemetry system for use with radio-controlled airplanes. This was entered in Microsoft's "Dare to Dream" inventors competition.



Overview of how PNI's magneto-inductive sensor technology works, with a discussion of some of the technology's attributes.


Presentation by Davy Figaro of PNI. Provides a basic overview of the function and application of a weapons orientation module (WOM), then reviews static errors associated with the accelerometers and magnetometers, plus dynamic errors when firing.



A detailed description of a littoral hovering inspection class AUV, incorporating PNI’s TCM5 tilt-compensating electronic compass, developed by a team of Cornell undergraduate students. The Nova AUV went on to win the 2009 AUVSI/ONR Autonomous Underwater Vehicle Competition.



Heriot-Watt University designed and built a hover-capable Autonomous Underwater Vehicle (AUV), incorporating PNI's TCM5 electronic compass. Their "Nessie IV" AUV took first place at the 4th Student Autonomous Underwater Competition – Europe, which involved completing a complex in-water mission with no direct human control.



A detailed description of the University of Florida’s Machine Intelligence Laboratory AUV, incorporating PNI’s TCM5 tilt-compensating electronic compass. The Subjugator AUV went on to win the 2007 AUVSI/ONR Autonomous Underwater Vehicle Competition.



A small magnet, the size of a grain of rice, is attached to an individual's tongue and its location detected by a pair of three-axial PNI sensors mounted on headgear near the user's cheeks. The system allows tongue motion to direct the movement of a cursor across a computer screen or a powered wheelchair around a room.



An autonomous ground vehicle (AGV or mobile robot), modeled on the NASA/JPL Rocky 7 Mars rover, is discussed. The emphasis of the article is on using electronic compassing to provide heading information. A PNI V2Xe was used on this robot. Published in Curcuit Cellular:


HAPB is an unmanned high altitude balloon experiment platform intended to increase understanding of planetary atmosphere, global weather, and climate patterns. The author developed code to interface PNI's TCM5 with Parallax Inc's Stamp and Propeller microcontrollers, and has made this code generally available.



The ASALT (A Self-navigating All Terrain) Vehicle project developed an autonomous ground-based vehicle that is capable of traversing a route designated by a set of waypoints.  The waypoints are latitude and longitude coordinates that identify a point on the Earth.  The vehicle will be used by the inter-Networking Research Group to carry a network node that is used during network protocol testing.  The ASALT vehicle will provide researchers with a new tool to aid them as they attempt to test and understand the technology behind fault tolerant network protocols.