LAUSR

Scale ambiguities in material recognition

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1 Published in 2022 at "iScience"

DOI: 10.1016/j.isci.2022.103970

Abstract: Summary Many natural materials have complex, multi-scale structures. Consequently, the inferred identity of a surface can vary with the assumed spatial scale of the scene: a plowed field seen from afar can resemble corduroy seen… read more here.

Keywords: material recognition; scale ambiguities; ambiguities material; scale ... See more keywords

Gathering Effective Information for Real-Time Material Recognition

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0 Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.3020382

Abstract: Material recognition is a fundamental problem in the field of computer vision. Material recognition is still challenging because of varying camera perspectives, light conditions, and illuminations. Feature learning or feature engineering helps build an important… read more here.

Keywords: material recognition; model; semantics; recognition ... See more keywords

Visual Affordance Guided Tactile Material Recognition for Waste Recycling

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1 Published in 2022 at "IEEE Transactions on Automation Science and Engineering"

DOI: 10.1109/tase.2021.3065991

Abstract: Because more and more solid waste is generated, in particular, in cities, the management of solid waste disposal has become a global challenge. A solution is to find an effective way to sort solid waste… read more here.

Keywords: guided tactile; affordance; waste; material recognition ... See more keywords

Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene

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2 Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2023.3243664

Abstract: Tactile feedback is an important way for robots to perceive the environment. In the open scenes, many uncertain factors lead to the change in the external environment, such as the reinstallation of the robot end-effector… read more here.

Keywords: recognition open; drop transfer; transferable features; material recognition ... See more keywords

Surrounding Object Material Detection and Identification Method for Robots Based on Ultrasonic Echo Signals

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0 Published in 2023 at "Applied Bionics and Biomechanics"

DOI: 10.1155/2023/1998218

Abstract: Material perception is one of the several essential abilities required by robots, and it also poses significant challenges in real-world field applications. In harsh environments, the existing material recognition methods have the problem of low… read more here.

Keywords: material recognition; based ultrasonic; robots based; material ... See more keywords