Material recognition using tactile sensing
Identification of the material from which an object is made is of significant value for effective
robotic grasping and manipulation. Characteristics of the material can be retrieved using …
robotic grasping and manipulation. Characteristics of the material can be retrieved using …
Multimodal material classification for robots using spectroscopy and high resolution texture imaging
Z Erickson, E Xing, B Srirangam… - 2020 IEEE/RSJ …, 2020 - ieeexplore.ieee.org
Material recognition can help inform robots about how to properly interact with and
manipulate real-world objects. In this paper, we present a multimodal sensing technique …
manipulate real-world objects. In this paper, we present a multimodal sensing technique …
Multimodal unknown surface material classification and its application to physical reasoning
Unknown surface material classification (SMC) can inform a robot about material properties,
enabling it to interact with environments appropriately. Recent research has leveraged …
enabling it to interact with environments appropriately. Recent research has leveraged …
Magnetic and mechanical modeling of a soft three-axis force sensor
This paper describes the modeling of a soft three-axis force sensor. The sensor has a
cylindrical cantilever beam made of silicone rubber that compresses and bends when …
cylindrical cantilever beam made of silicone rubber that compresses and bends when …
Humanoids learn object properties from robust tactile feature descriptors via multi-modal artificial skin
This paper presents new methods for the recognition and categorization of object properties
such as surface texture, weight, and compliance using a multi-modal artificial skin mounted …
such as surface texture, weight, and compliance using a multi-modal artificial skin mounted …
Multimodal bio-inspired tactile sensing module for surface characterization
TE Alves de Oliveira, AM Cretu, EM Petriu - Sensors, 2017 - mdpi.com
Robots are expected to recognize the properties of objects in order to handle them safely
and efficiently in a variety of applications, such as health and elder care, manufacturing, or …
and efficiently in a variety of applications, such as health and elder care, manufacturing, or …
Tactile object recognition with semi-supervised learning
This paper introduced a novel approach to recognize objects with tactile images by utilizing
semi-supervised learning approaches. In tactile object recognition, the data are normally …
semi-supervised learning approaches. In tactile object recognition, the data are normally …
Robust real time material classification algorithm using soft three axis tactile sensor: Evaluation of the algorithm
Materials and textures identification is a desired ability for robots. Developing such systems
require tactile sensors that have enough sensitivity and spatial resolution, and the …
require tactile sensors that have enough sensitivity and spatial resolution, and the …
Material classification based on thermal properties—A robot and human evaluation
The surface properties of an object and the environment in which it is located are important
for robot grasping and manipulation. Physical contact with an object using tactile sensors …
for robot grasping and manipulation. Physical contact with an object using tactile sensors …
Disposable soft 3 axis force sensor for biomedical applications
This paper proposes a new disposable soft 3D force sensor that can be used to calculate
either force or displacement and vibrations. It uses three Hall Effect sensors orthogonally …
either force or displacement and vibrations. It uses three Hall Effect sensors orthogonally …