technique
Force-Informed Re-Sampling Training
techniqueactiveprovisional
force-informed-re-sampling-training-80324bbb·1 events·first seen 6d agoAliases: Force-Informed Re-Sampling Training
Co-occurring entities
More like this (12)
quantization-aware trainingdefer-to-resamplesparse frame samplingQuantisation-Aware Training (QAT)finite-sample posterior sampling frameworkUniIntervene: Agentic Intervention for Efficient Real-World Reinforcement LearningReference-Augmented TrainingOne-Shot Imitation Learningself-trainingshielded reinforcement learningRange Penalization: Theoretical Insights with Applications in Federated LearningEntropy-Regularized Reinforcement Learning
Recent events (1)
FACTR 2: Neural External Torque Estimation enables force-aware robot policy learning without dedicated sensors
Researchers introduce NEXT (Neural External Torque Estimation), a data-driven method that estimates external joint torques on commodity robot arms without dedicated force sensors, training in one minute from ten minutes of free-motion data. Combined with Force-Informed Re-Sampling Training (FIRST), which up-samples contact segments during behavior cloning, the system outperforms prior force-aware policies by over 17% in task progress across five long-horizon manipulation tasks. The work lowers the hardware barrier for contact-rich robot manipulation by bringing force-feedback teleoperation and policy learning to off-the-shelf arms.