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Keenan Albee

4 accepted papers

2026

CRESCENT: Collision-Free Highly Constrained Trajectory Optimization for Driving on the Moon (I)

ICRA 2026poster

Rovers have been a mainstay of planetary exploration missions, significantly expanding our knowledge in planetary science. However, past rover missions have involved significant human supervision to oversee rover operations, a state-of-practice that scales poorly for the next generation of missions.…

Cited by 0Scholar
2026

Safe Payload Transfer with Ship-Mounted Cranes: A Robust Model Predictive Control Approach

ICRA 2026poster

Ensuring safe real-time control of ship-mounted cranes in unstructured transportation environments requires handling multiple safety constraints while maintaining effective payload transfer performance. Unlike traditional crane systems, ship-mounted cranes are consistently subjected to significant e…

2022

The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement With On-Orbit Validation

RA-L 2022

Certain forms of uncertainty that robotic systems encounter can be explicitly learned within the context of a known model, like parametric model uncertainties such as mass and moments of inertia. Quantifying such parametric uncertainty is important for more accurate prediction of the system behavior

Cited by 5SourceScholar
2021

Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers

IROS 2021poster

Space free-flyers like the Astrobee robots currently operating aboard the International Space Station must operate with inherent system uncertainties. Parametric uncertainties like mass and moment of inertia are especially important to quantify in these safety-critical space systems and can change i…

Cited by 11SourceScholar