2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.RO2026
SABER: Learning Attention-based Semantic Affordance for Legged Locomotion
Hari Prasanth Palanivelu, Samuel Sze, Kennard Garrison Johannes +3
Perceptive legged locomotion has advanced rapidly by integrating terrain geometry into learned policies, yet the integration of terrain meaning remains sparse: a pipe, a patch of g…
cs.RO2022★ 2 cited
Real-time Digital Double Framework to Predict Collapsible Terrains for Legged Robots
Garen Haddeler, Hari P. Palanivelu, Yung Chuen Ng +5
Inspired by the digital twinning systems, a novel real-time digital double framework is developed to enhance robot perception of the terrain conditions. Based on the very same phys…