Abstract: This paper proposes a novel, more computationally efficient method for optimizing robot excitation trajectories for dynamic parameter identification, emphasizing self-collision avoidance.
Multiobjective Optimization of Radar Acquisition Parameters in Flyby Scenarios of Planetary Missions
Abstract: In planetary explorations, missions that employ flybys operate in strongly variable environments. The rapid change in altitude of a flyby orbit increases the difficulties in determining the ...
This repo contains the pre-release implementation of Low-rank Riemannian Optimizater (LORO), proposed in LORO: Parameter and Memory Efficient Pretraining via Low-rank Riemannian Optimization, ICLR ...
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