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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2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
DINO-Explorer uses ego-motion compensated semantic surprise from a frozen DINOv3 model and action-conditioned predictor to triage underwater events, retaining 78.8% of human-consensus events while cutting telemetry bandwidth by 48.2%.
citing papers explorer
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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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DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding
DINO-Explorer uses ego-motion compensated semantic surprise from a frozen DINOv3 model and action-conditioned predictor to triage underwater events, retaining 78.8% of human-consensus events while cutting telemetry bandwidth by 48.2%.