CART integrates vision and body sensing via temporal sequences to improve legged robot stability and success rates on complex terrain by 5% in simulation and up to 45% in real-world tests.
Pronav: Proprioceptive traversability estimation for legged robot navigation in outdoor environments,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CART: Context-Aware Terrain Adaptation using Temporal Sequence Selection for Legged Robots
CART integrates vision and body sensing via temporal sequences to improve legged robot stability and success rates on complex terrain by 5% in simulation and up to 45% in real-world tests.