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Interactive object recognition using proprioceptive and auditory feedback.

, , , , , and . Int. J. Robotics Res., 30 (10): 1250-1262 (2011)

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Source Task Creation for Curriculum Learning., , , and . AAMAS, page 566-574. ACM, (2016)Interactive object recognition using proprioceptive and auditory feedback., , , , , and . Int. J. Robotics Res., 30 (10): 1250-1262 (2011)Which Object Fits Best? Solving Matrix Completion Tasks with a Humanoid Robot., , , and . IEEE Trans. Auton. Ment. Dev., 6 (3): 226-240 (2014)Learning Multi-Modal Grounded Linguistic Semantics by Playing "I Spy"., , , , and . IJCAI, page 3477-3483. IJCAI/AAAI Press, (2016)Deep Multi-Sensory Object Category Recognition Using Interactive Behavioral Exploration., and . ICRA, page 7872-7878. IEEE, (2019)LgTS: Dynamic Task Sampling using LLM-generated sub-goals for Reinforcement Learning Agents., , , , , and . CoRR, (2023)AI-HRI 2021 Proceedings., , , , , , , , , and 3 other author(s). CoRR, (2021)MOSAIC: Learning Unified Multi-Sensory Object Property Representations for Robot Perception., , , , and . CoRR, (2023)NovelGym: A Flexible Ecosystem for Hybrid Planning and Learning Agents Designed for Open Worlds., , , , and . CoRR, (2024)Cross-Tool and Cross-Behavior Perceptual Knowledge Transfer for Grounded Object Recognition., , and . CoRR, (2023)