Concordia University's Aerospace Robotics Lab

Concordia University

Dr. Krzysztof Skonieczny

Concordia University’s Aerospace Robotics Laboratory (CUARL) is led by Dr. Krzysztof (Chris) Skonieczny, associate professor in Electrical & Computer Engineering at the Concordia Institute of Aerospace Design & Innovation (CIADI). His research interests include space robotics, planetary rovers, robot mobility, robot autonomy, vehicle-terrain interactions, advanced 3D printing techniques, robotics excavation & construction, reduced gravity experimentation, computer vision and machine learning for robotics applications. The Aerospace Robotics Laboratory currently supports projects which study and develops robotics for space, especially for applications where a robot interacts with granular terrains in low-gravity environments. Examples include roving on Mars, digging and constructing on the Moon, or sampling and anchoring on comets and asteroids.

Projects

Terramechanics (machine-soil interactions)

Reduced-gravity terramechanics

Accurate & efficient machine-soil modeling

AI for rover terrain traversability

Articulated wheel-leg robot

Energy-efficient skid-steer rover control

Grouser and wheel design for planetary rovers

Space-grade regolith composite material 3D printing

Picture galleries

FAST NRC 2023 Flights tests

A gallery of pictures of our low-gravity flight field test in May 2023.

Featured Publications

Adriana Daca, Dominique Tremblay, Krzysztof Skonieczny (2023). Expansion and experimental evaluation of scaling relations for the prediction of wheel performance in reduced gravity. Microgravity Science and Technology.

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Amin Haeri, Krzysztof Skonieczny (2022). Three-dimensionsal granular flow continuum modeling via material point method with hyperelastic nonlocal granular fluidity. Computer Methods in Applied Mechanics and Engineering.

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Recent Publications

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See also Dr. Skonieczny’s Google Scholar page.

Adriana Daca, Dominique Tremblay, Krzysztof Skonieczny (2023). Expansion and experimental evaluation of scaling relations for the prediction of wheel performance in reduced gravity. Microgravity Science and Technology.

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Meysam Effati, Krzysztof Skonieczny (2023). Systematic solution for optimally energy-efficient turning radius for wheeled skid-steer rovers. Robotics and Autonomous Systems.

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Meysam Effati, Krzysztof Skonieczny, Tim Freiman, Devin J Balkcom (2022). An Equivalent Time-Optimal Problem to find Energy-Optimal Paths for Skid-Steer Rovers.

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Jean-Sebastien Fiset, Meysam Effati, Krzysztof Skonieczny (2022). Power and energy consumption of skid-steer rovers turning on loose soil. Journal of Field Robotics.

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Adriana Daca, Krzysztof Skonieczny (2022). Evaluating 1-g testing methods for predicting planetary rover mobility in re-duced gravity.

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Amin Haeri, Krzysztof Skonieczny (2022). Three-dimensionsal granular flow continuum modeling via material point method with hyperelastic nonlocal granular fluidity. Computer Methods in Applied Mechanics and Engineering.

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Amin Haeri, Krzysztof Skonieczny (2022). Gravity sensitivity of continuum numerical solvers for granular flow modeling. Granular Matter.

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Adriana Daca, Amir Ali Forough Nassiraei, Dominique Tremblay, Krzysztof Skonieczny (2022). Comparison of wheel load application methods in single-wheel testbeds. Journal of Terramechanics.

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Adriana Daca, Dominique Tremblay, Krzysztof Skonieczny (2022). Experimental evaluation of cone index gradient as a metric for the prediction of wheel performance in reduced gravity. Journal of Terramechanics.

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Braden W Stefanuk, Melissa Battler, Kaizad V Raimalwala, Adam Deslauriers, Michele Faragalli, Krzysztof Skonieczny, Evan Smal, Ewan Reid (2021). Lunar analogue dataset for traversability assessment and novelty detection.

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