Object (grammar)
Related papers: 20
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In robotics and AI, an **object** refers to any discrete physical entity in the environment that a robot must perceive, localize, classify, or manipulate. Objects are fundamental units of interaction — from household items and tools to obstacles and landmarks — and serve as the primary targets of a wide range of robotic capabilities. Robots use sensor data from cameras, LiDAR, and depth sensors to detect objects, estimate their 3D poses, segment them from cluttered scenes, and build semantic maps that support navigation and manipulation. Deep learning approaches, such as convolutional neural networks, enable real-time object recognition, 6D pose estimation, and grasp planning even for previously unseen items. Object understanding is central to tasks like dexterous in-hand manipulation, autonomous grasping, and activity recognition. Standardized object datasets and benchmarks, such as the YCB Object Set, accelerate research by providing common evaluation frameworks. Robust object perception matters because it bridges raw sensory input and high-level task execution, allowing robots to meaningfully interact with the physical world in unstructured, human-centered environments.
Top Researchers
Top Cited Papers
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On the Representation and Estimation of Spatial Uncertainty
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Constructionism in Practice: Designing, Thinking, and Learning in A Digital World
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Robotic Grasping of Novel Objects using Vision
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Semantic 3D Object Maps for Everyday Manipulation in Human Living Environments
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Real-time grasp detection using convolutional neural networks
Joseph Redmon, Anelia Angelova
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Fast 3D recognition and pose using the Viewpoint Feature Histogram
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