Learning Composable Behavior Embeddings for Long-Horizon Visual Navigation
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DOI: 10.1109/lra.2021.3060649
Abstract: Learning high-level navigation behaviors has important implications: it enables robots to build compact visual memory for repeating demonstrations and to build sparse topological maps for planning in novel environments. Existing approaches only learn discrete, short-horizon… read more here.
Keywords: visual navigation; composable behavior; learning composable; horizon visual ... See more keywords