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Karlsruhe Institute of Technology (KIT)
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HOWTransfer achieves 86% success in translating human grasp intent into diverse, executable robot motions, outperforming teleoperation methods.
Decomposing pose estimation into error attribution and targeted mitigation allows simple algorithms like ICP to rival the robustness of complex foundation models, but with significantly less computation.
Rescue your robot's near-miss manipulation failures with FlowCorrect, a VR-guided, human-in-the-loop correction framework that boosts success rates by 85% without full retraining.