Available for opportunities

Calvin
Stahoviak

M.S. in Computer Science from the University of New Mexico. I build intelligent robots that cooperate, perceive, and learn. Always looking for my next passion project.

M.S. Computer Science DOE L Clearance 5+ Years Research Machine Learning Robotics Computer Vision M.S. Computer Science DOE L Clearance 5+ Years Research Machine Learning Robotics Computer Vision
View Projects About Me
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Featured Work

Selected research, engineering, and publications

publication
2026

Reliability of Mobile Camera-Based Hand Sign Recognition in Outdoor Environments

Stocco, P. et al. — MECC, 2026. (accepted)

Computer Vision Human-Robot Interaction Mobile Robotics
project
2025

Legislature Summarizer

AI-powered web app for consolidating and summarizing government legislature. 4th place at Lobo Hackathon.

NLP LLMs Web Development
publication
2024

Rapid Constrained Object Motion Estimation via Centroid Localization

Young, C. et al. — AIM, 2024.

Computer Vision CUDA ROS State Estimation
publication
2026

Dynamic Admittance Parametrisation of Non-Prehensile Multi-Robot Transport

Stahoviak, C. et al. — MECC, 2026. (accepted)

Control Theory Multi-Robot Systems Motion Planning Optimization
publication
2025

Perceived Constraint Identification Using Physics-Informed Deep Neural Networks

Kim, R. et al. — ASME LDSC, 2025.

Physics-Informed ML Deep Learning System Identification
project
2026

RL Quadrotor Control

End-to-end multi-behavior policy for quadrotor control using modern deep reinforcement learning techniques.

Reinforcement Learning PyTorch Isaac Sim CUDA
publication
2026

Reliability of Mobile Camera-Based Hand Sign Recognition in Outdoor Environments

Stocco, P. et al. — MECC, 2026. (accepted)

Computer Vision Human-Robot Interaction Mobile Robotics
project
2025

Legislature Summarizer

AI-powered web app for consolidating and summarizing government legislature. 4th place at Lobo Hackathon.

NLP LLMs Web Development
publication
2024

Rapid Constrained Object Motion Estimation via Centroid Localization

Young, C. et al. — AIM, 2024.

Computer Vision CUDA ROS State Estimation
publication
2026

Dynamic Admittance Parametrisation of Non-Prehensile Multi-Robot Transport

Stahoviak, C. et al. — MECC, 2026. (accepted)

Control Theory Multi-Robot Systems Motion Planning Optimization
publication
2025

Perceived Constraint Identification Using Physics-Informed Deep Neural Networks

Kim, R. et al. — ASME LDSC, 2025.

Physics-Informed ML Deep Learning System Identification
project
2026

RL Quadrotor Control

End-to-end multi-behavior policy for quadrotor control using modern deep reinforcement learning techniques.

Reinforcement Learning PyTorch Isaac Sim CUDA
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EducationM.S. Computer Science, University of New Mexico (GPA 3.83)
ThesisAwarded distinction, Dec. 2025
Publications4 peer-reviewed papers (2 accepted)
LanguagesC++, CUDA, Python, MATLAB, and more
FocusAutonomous robotics, RL, computer vision

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