No. 5: Interactive Multisensory Object Perception for Embodied Agents

All Papers

• A Deep Neural Model for Emotion-Driven Multimodal Attention

  German Ignacio Parisi, Pablo Barros, Haiyan Wu, Guochun Yang, Zhenghan Li, Xun Liu, Stefan Wermter

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• Learning of Object Properties, Spatial Relations, and Actions for Embodied Agents from Language and Vision

  Muhannad Alomari, Paul Duckworth, David C. Hogg, Anthony G. Cohn

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• How Much Haptic Surface Data Is Enough?

  Alex Burka, Katherine J. Kuchenbecker

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• Regrasping Using Tactile Perception and Supervised Policy Learning

  Yevgen Chebotar, Karol Hausman, Oliver Kroemer, Gaurav Sukhatme, Stefan Schaal

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• Merging Local and Global 3D Perception using Contact Sensing

  Rebecca Cox, Nikolaus Correll

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• Summary of Experiments in Belief-Space Planning at the Laboratory for Perceptual Robotics

  Scott Michael Jordan, Dirk Ruiken, Tiffany Q. Liu, Takeshi Takahashi, Michael W. Lanighan, Roderic A. Grupen

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• Visual Stability Prediction and Its Application to Manipulation

  Wenbin Li, Ales Leonardis, Mario Fritz

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• Building Kinematic and Dynamic Models of Articulated Objects with Multi-Modal Interactive Perception

  Roberto Martín-Martín, Oliver Brock

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• Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception

  Kory Wallace Mathewson, Patrick M. Pilarski

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