Asher Elmland
Sr. Robotics Autonomy Engineer, Simulation
Saint Paul, Minnesota, United States
Summary
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Rockstar🎓
Top SchoolAsher Elmland is a senior robotics autonomy engineer specializing in sensor simulation and simulation-trained perception systems, with 10 years of experience spanning academia, government labs, and industry. He builds and validates high-fidelity models for autonomous systems, most recently advancing robotics simulation at FieldAI after developing spaceflight and surface mobility simulation capabilities at NASA JPL. His PhD-focused background from UW–Madison underpins a strong mix of research rigor and production-minded engineering, including contributions to high-performance C++ simulation libraries like Chrono. Comfortable working across perception, multibody dynamics, and rendering/FSI tweaks, he blends physics-first modeling with practical fixes that keep complex toolchains compatible and debuggable. Based in Saint Paul, MN, he has a track record of turning academic simulation research into deployable autonomy components for both terrestrial and space applications.
11 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Mechanical Engineering, Doctor of Philosophy - PhD Mechanical Engineering at University of Wisconsin-Madison
English
Github Skills (7)
debugging10
c-language10
cprogramming-language10
version-control9
simulations9
simulation9
git9
Programming languages (3)
Github contributions (5)
projectchrono/chrono
Jun 2016 - Dec 2022
High-performance C++ library for multiphysics and multibody dynamics simulations
Role in this project:
Back-end Developer
Back-end DeveloperContributions:173 commits, 1 PR, 135 pushes in 6 years 7 months
Contributions summary:Asher's commits focused on fixing compatibility issues related to newer versions of GCC, specifically addressing the "return void" syntax in functions returning actual types. The user also added example vehicle models, including a sedan and fixing debugging issues related to vehicle model files. Additionally, the user contributed to the FSI simulation by adding material-related changes, implementing support for texture scaling, and making adjustments for improved rendering of materials, including the application of fog models.
cppmultiphysicssimulationphysics-simulationmodeling
huckl3b3rry87/Chrono_Gazebo
Aug 2015 - Jun 2016
Contributions:33 commits in 9 months
gazeboroboticsautonomoussimulationvehicle
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