CART learns a vision–proprioception terrain context and uses Temporal Sequence Selection to cut base oscillation by up to 41% in simulation and 22% on Spot outdoors, with a 5% higher sim success rate.
Artplanner: Robust legged robot navigation in the field
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2representative citing papers
A teacher-student RL policy distillation approach combined with procedural tunnel generation enables quadruped robots to traverse narrow tunnels consistently in both simulation and real-world tests.
citing papers explorer
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CART: Context-Aware Terrain Adaptation using Temporal Sequence Selection for Legged Robots
CART learns a vision–proprioception terrain context and uses Temporal Sequence Selection to cut base oscillation by up to 41% in simulation and 22% on Spot outdoors, with a 5% higher sim success rate.
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Robot Squid Game: Quadrupedal Locomotion for Traversing Narrow Tunnels
A teacher-student RL policy distillation approach combined with procedural tunnel generation enables quadruped robots to traverse narrow tunnels consistently in both simulation and real-world tests.