SE(2) NavMesh adds yaw-dependent traversability layers to polygonal navigation meshes, paired with ASA hierarchical pathfinding and incremental point-cloud updates, claiming over 50% more traversable area than standard navmeshes.
Learning robust perceptive locomotion for quadrupedal robots in the wild
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
fields
cs.RO 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Concurrent training of an Intrinsic Dynamics Head with a dynamics reward yields more efficient and smoother quadrupedal locomotion policies that transfer to real robots with 12-18% gains in efficiency metrics.
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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SE(2) Navigation Mesh
SE(2) NavMesh adds yaw-dependent traversability layers to polygonal navigation meshes, paired with ASA hierarchical pathfinding and incremental point-cloud updates, claiming over 50% more traversable area than standard navmeshes.
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Dynamics Aware Quadrupedal Locomotion via Intrinsic Dynamics Head
Concurrent training of an Intrinsic Dynamics Head with a dynamics reward yields more efficient and smoother quadrupedal locomotion policies that transfer to real robots with 12-18% gains in efficiency metrics.
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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.