Paper-Conference

[IROS23] Learning a Causal Transition Model for Object Cutting
Cutting objects into desired fragments is challenging for robots due to the spatially unstructured nature of fragments and the complex …
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[IROS23] Learning a Causal Transition Model for Object Cutting
[IROS23] Part-level Scene Reconstruction Affords Robot Interaction
Existing methods for reconstructing interactive scenes primarily focus on replacing reconstructed objects with CAD models retrieved …
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[IROS23] Part-level Scene Reconstruction Affords Robot Interaction
[IROS23] Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators
We investigate the sequential manipulation planning problem for unmanned aerial manipulators (UAMs). Unlike prior work that primarily …
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[IROS23] Sequential Manipulation Planning for Over-actuated Unmanned Aerial Manipulators
[ACL23Demo] PersLEARN: Research Training through the Lens of Perspective Cultivation
Scientific research is inherently shaped by its authors’ perspectives, influenced by various factors such as their personality, …
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[ACL23Demo] PersLEARN: Research Training through the Lens of Perspective Cultivation
[ICML23] MEWL: Few-shot multimodal word learning with referential uncertainty
Without explicit feedback, humans can rapidly learn the meaning of words. Children can acquire a new word after just a few passive …
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[ICML23] MEWL: Few-shot multimodal word learning with referential uncertainty
[ICML23] On the Complexity of Bayesian Generalization
We examine concept generalization at a large scale in the natural visual spectrum. Established computational modes (i.e., rule-based or …
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[ICML23] On the Complexity of Bayesian Generalization
[CVPR23] Diffusion-based Generation, Optimization, and Planning in 3D Scenes
We introduce SceneDiffuser, a conditional generative model for 3D scene understanding. SceneDiffuser provides a unified model for …
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[CVPR23] Diffusion-based Generation, Optimization, and Planning in 3D Scenes
[ICLR23] Understanding Embodied Reference with Touch-Line Transformer
We study embodied reference understanding, the task of locating referents using embodied gestural signals and language references. …
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[ICLR23] Understanding Embodied Reference with Touch-Line Transformer
[ICLR23] A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
Inspired by humans’ exceptional ability to master arithmetic and generalize to new problems, we present a new dataset, …
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[ICLR23] A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
[ICRA23] GenDexGrasp: Generalizable Dexterous Grasping
Generating dexterous grasping has been a long-standing and challenging robotic task. Despite recent progress, existing methods …
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[ICRA23] GenDexGrasp: Generalizable Dexterous Grasping