2 papers
cs.RO2024
Cost-Aware Query Policies in Active Learning for Efficient Autonomous Robotic Exploration
Sapphira Akins, Hans Mertens, Frances Zhu
In missions constrained by finite resources, efficient data collection is critical. Informative path planning, driven by automated decision-making, optimizes exploration by reducin…
cs.RO2023
Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration
Sapphira Akins, Frances Zhu
Robots with increasing autonomy progress our space exploration capabilities, particularly for in-situ exploration and sampling to stand in for human explorers. Currently, humans dr…