LineRides enables commandable bicycle robot stunts via line-guided RL that uses spatial guidelines, a tracking margin for feasibility, distance-based progress, and sparse key-orientations.
Sim-to- real transfer of robotic control with dynamics randomization
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.RO 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
BIFROST learns invariant latent states via cross-domain bisimulation on paired data to enable zero-shot sim2real policy transfer for visual navigation, contact-rich manipulation, and visual servoing.
citing papers explorer
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LineRides: Line-Guided Reinforcement Learning for Bicycle Robot Stunts
LineRides enables commandable bicycle robot stunts via line-guided RL that uses spatial guidelines, a tracking margin for feasibility, distance-based progress, and sparse key-orientations.
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BIFROST: Bridging Invariant Feature Representation for Observation-space Sim2Real Transfer
BIFROST learns invariant latent states via cross-domain bisimulation on paired data to enable zero-shot sim2real policy transfer for visual navigation, contact-rich manipulation, and visual servoing.