Perception-and-Energy-aware Motion Planning for UAV using Learning-based Model under Heteroscedastic Uncertainty

1 code implementation • 25 Sep 2023 • Reiya Takemura, Genya Ishigami

Global navigation satellite systems (GNSS) denied environments/conditions require unmanned aerial vehicles (UAVs) to energy-efficiently and reliably fly.

Motion Planning Total Energy +1

Risk-aware Path Planning via Probabilistic Fusion of Traversability Prediction for Planetary Rovers on Heterogeneous Terrains

no code implementations • 2 Mar 2023 • Masafumi Endo, Tatsunori Taniai, Ryo Yonetani, Genya Ishigami

Machine learning (ML) plays a crucial role in assessing traversability for autonomous rover operations on deformable terrains but suffers from inevitable prediction errors.