A perception-conditioned internal model lets humanoid robots climb 15 cm stairs and cross gaps with around 90% reported success, using onboard elevation maps.
Learning h-infinity locomotion control,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.RO 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Learning Humanoid Locomotion with Perceptive Internal Model
A perception-conditioned internal model lets humanoid robots climb 15 cm stairs and cross gaps with around 90% reported success, using onboard elevation maps.