E-TTS introduces a plug-and-play test-time scaling method for embodied tasks that unifies reasoning-action sampling with history buffers and closed-loop refinement to improve performance on manipulation benchmarks.
arXiv preprint arXiv:2512.11609 (2025)
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EaDex combines single-camera RGB-D capture, MANO retargeting, and dynamic demonstration annealing to achieve 55.3% relative improvement over baseline on nine cross-embodiment dexterous object-opening tasks across three hands.
citing papers explorer
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E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation
E-TTS introduces a plug-and-play test-time scaling method for embodied tasks that unifies reasoning-action sampling with history buffers and closed-loop refinement to improve performance on manipulation benchmarks.
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EaDex: A Cross-Embodiment Dexterous Manipulation Framework from Low-Cost Demonstrations
EaDex combines single-camera RGB-D capture, MANO retargeting, and dynamic demonstration annealing to achieve 55.3% relative improvement over baseline on nine cross-embodiment dexterous object-opening tasks across three hands.