Data-Efficient Model Learning and Prediction for Contact-Rich Manipulation Tasks
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DOI: 10.1109/lra.2020.2996067
Abstract: In this letter, we investigate learning forward dynamics models and multi-step prediction of state variables (long-term prediction) for contact-rich manipulation. The problems are formulated in the context of model-based reinforcement learning (MBRL). We focus on… read more here.
Keywords: rich manipulation; prediction contact; model; contact rich ... See more keywords