3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.RO2022
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement with On-Orbit Validation
Keenan Albee, Monica Ekal, Brian Coltin +3
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 mome…
cs.RO2021★ 1 cited
Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly
Bryce Doerr, Keenan Albee, Monica Ekal +2
As access to space and robotic autonomy capabilities move forward, there is simultaneously a growing interest in deploying large, complex space structures to provide new on-orbit c…
cs.RO2019★ 3 cited
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain
Keenan Albee, Monica Ekal, Rodrigo Ventura +1
Robotic systems often operate with uncertainties in their dynamics, for example, unknown inertial properties. Broadly, there are two approaches for controlling uncertain systems: d…