Calvin
Stahoviak
Featured Work
Selected research, engineering, and publications
RL Quadrotor Control
End-to-end multi-behavior policy for quadrotor control using modern deep reinforcement learning techniques.
RGBD Detection & Localization
Real-time RGBD-based detection, segmentation, and localization ROS package with CUDA-accelerated inference.
Rapid Constrained Object Motion Estimation via Centroid Localization
Young, C. et al. — AIM, 2024.
Perceived Constraint Identification Using Physics-Informed Deep Neural Networks
Kim, R. et al. — ASME LDSC, 2025.
Legislature Summarizer
AI-powered web app for consolidating and summarizing government legislature. 4th place at Lobo Hackathon.
Reliability of Mobile Camera-Based Hand Sign Recognition in Outdoor Environments
Stocco, P. et al. — MECC, 2026. (in preparation)
Productivity Web App
Full-stack web and mobile application for habit tracking with smart adherence mechanisms.
Dynamic Admittance Parametrisation of Non-Prehensile Multi-Robot Transport
Stahoviak, C. et al. — MECC, 2026. (in preparation)
DYNAMO — Multi-Robot Transport
Dynamic admittance parameterization for non-prehensile cooperative transport using mobile robots with manipulator arms.
Real-Time Object Tracking
Computer vision pipeline for simultaneously tracking small objects across multiple video feeds.
Gesture Recognition Testbed
AprilTag and PID-based outdoor testbed for benchmarking gesture recognition on mobile robots.
Physics-Informed Constraint Estimation
Physics-informed deep neural network to rapidly estimate mechanical constraints of objects for robotic manipulation.
RL Quadrotor Control
End-to-end multi-behavior policy for quadrotor control using modern deep reinforcement learning techniques.
RGBD Detection & Localization
Real-time RGBD-based detection, segmentation, and localization ROS package with CUDA-accelerated inference.
Rapid Constrained Object Motion Estimation via Centroid Localization
Young, C. et al. — AIM, 2024.
Perceived Constraint Identification Using Physics-Informed Deep Neural Networks
Kim, R. et al. — ASME LDSC, 2025.
Legislature Summarizer
AI-powered web app for consolidating and summarizing government legislature. 4th place at Lobo Hackathon.
Reliability of Mobile Camera-Based Hand Sign Recognition in Outdoor Environments
Stocco, P. et al. — MECC, 2026. (in preparation)
Productivity Web App
Full-stack web and mobile application for habit tracking with smart adherence mechanisms.
Dynamic Admittance Parametrisation of Non-Prehensile Multi-Robot Transport
Stahoviak, C. et al. — MECC, 2026. (in preparation)
DYNAMO — Multi-Robot Transport
Dynamic admittance parameterization for non-prehensile cooperative transport using mobile robots with manipulator arms.
Real-Time Object Tracking
Computer vision pipeline for simultaneously tracking small objects across multiple video feeds.
Gesture Recognition Testbed
AprilTag and PID-based outdoor testbed for benchmarking gesture recognition on mobile robots.
Physics-Informed Constraint Estimation
Physics-informed deep neural network to rapidly estimate mechanical constraints of objects for robotic manipulation.
EducationM.S. Computer Science, University of New Mexico (GPA 3.83)
ThesisAwarded distinction, Dec. 2025
Publications4 peer-reviewed papers (2 in preparation)
LanguagesC++, CUDA, Python, MATLAB, and more
FocusAutonomous robotics, RL, computer vision
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