Christopher Tomaszewski

Roboticist

(973) 641-0694
christomaszewski@gmail.com

Developed and fielded autonomy software and algorithms for UAVs, USVs, and UUVs.
Contributing member on the board for the Umanned Maritime Autonomy Architecture (UMAA), a forthcoming government autonomy standard.
Proposed and served as Principle Investigator for multiple Internal Research and Development (IRAD) projects.
Led software development and testing efforts for the joint OUSD/DARPA DRAGON project pursuing alternative forms of PNT.
Served as the Software & Autonomy Subject Matter Expert (SME) for the government team on the DARPA Manta Ray program.

Contributed across all aspects of the company helping it grow from a research group handcrafting individual robots in a university basement into a small business with multiple models of cost-effective autonomous surface vehicles and successful deployments across five continents.
Led the manufacturing, engineering, and R&D efforts within the company.
Managed and trained groups of assembly workers, interns, and engineers.

Led the development and implementation of a multi-agent UAV platform to demonstrate the capabilities of custom mission management software developed as part of Army REP 2018.
Organized and conducted field testing efforts for the platform throughout development.
Supported system deployment at the Marine Corps' manned-unmanned teaming limited operational assessment.

Designed and developed the sensor fusion and tracking systems for the Caterpillar Detect object detection product.
Built an image dataset management and annotation tool to streamline the creation of training datasets for object detection.
Implemented a personnel tracking system based on active RFID ranging technology for use on autonomous tracked vehicles.

Developed an augmented reality visualization application for Android smartphones to display geolocalized radiation data.
Implemented KMZ parsing to display a 3D COLLADA object at a particular GPS location in augmented reality.

Developed a novel architecture for coverage path planning based on the concept of path constraints, an extensible building block for path plans.
Designed several optimizations within this architecture in order to improve energy-efficiency of coverage plans for regions with moving fluids.
Built a ASV test platform and conducted field experiments to demonstrate real world efficacy of the energy-efficient coverage planner even in the absence of complete knowledge of surface currents.

Designed, built, and programmed 20 autonomous surface vehicles as a test platform for the GAMS and MADARA middlewares for distributed AI.
Implemented several distributed algorithms for surface-to-air signaling using vehicle formations and asset defense against a line-of-sight attacker.
Deployed the platform at the NATO CMRE REP17 Exercises in the Atlantic Ocean off the coast of Troia, Portugal.

Carnegie Mellon University
Ph.D. in Robotics
Graduation Date: December 2020

Carnegie Mellon University
M.S. in Robotics
Graduation Date: December 2013

Carnegie Mellon University
B.S. in Computer Science
B.S. in Mechanical Engineering
Graduation Date: May 2012

Native Speaker of Polish
Intermediate Spanish

Judge of Elections
Allegheny County, PA
Municipality of Etna, Ward 1
November 2017 - November 2019

RoboTsar (President)
RoboOrg - CMU Robotics Institute Graduate Student Organization
Spring 2015 - Spring 2016

Low-Cost Unmanned Underwater Vehicles for Multi-vehicle Autonomy Testing
Natalya Gage, Chris Tomaszewski, Shaun Anderson, and Sean Wilson
OCEANS 2022 Hampton Roads

Augmenting LSPIV Surface Current Measurement with Drifting ASVs
Chris Tomaszewski, Paul Scerri, and John Dolan
OCEANS 2018 MTS/IEEE Kobe