Perception for General-purpose Robot Manipulation
نویسندگان
چکیده
To autonomously perform tasks, a robot should continually perceive the state of its environment, reason with task at hand, plan and execute appropriate actions. In this pipeline, perception is largely unsolved one more challenging problems. Common indoor environments typically pose two main problems: 1) inherent occlusions leading to unreliable observations objects, 2) presence involvement wide range objects varying physical visual attributes (i.e., rigid, articulated, deformable, granular, transparent, etc.). Thus, we need algorithms that can accommodate perceptual uncertainty in estimation generalize objects. Probabilistic inference methods have been highly suitable for modeling uncertainty, data-driven approaches using deep learning techniques shown promising advancements toward generalization. Perception manipulation intricate setting requiring best from both worlds. My research aims develop over tasks while accommodating support robust execution real world. presentation, I will briefly highlight my these threads.
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ژورنال
عنوان ژورنال: Proceedings of the ... AAAI Conference on Artificial Intelligence
سال: 2023
ISSN: ['2159-5399', '2374-3468']
DOI: https://doi.org/10.1609/aaai.v37i13.26802