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cs.RO2024
Theia: Distilling Diverse Vision Foundation Models for Robot Learning
Jinghuan Shang, Karl Schmeckpeper, Brandon B. May +4
Vision-based robot policy learning, which maps visual inputs to actions, necessitates a holistic understanding of diverse visual tasks beyond single-task needs like classification…
cs.RO2024
A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings
Vanya Cohen, Jason Xinyu Liu, Raymond Mooney +2
With large language models, robots can understand language more flexibly and more capable than ever before. This survey reviews and situates recent literature into a spectrum with…