Flexible motion framework of the six wheel-legged robot: Experimental results
In complex real-world scenarios, wheel-legged robots with maneuverability, stability, and
reliability have addressed growing research attention, especially in material transportation …
reliability have addressed growing research attention, especially in material transportation …
Review of bioinspired vision-tactile fusion perception (VTFP): From humans to humanoids
Humanoid robots are designed and expected to resemble humans in structure and
behavior, showing increasing application potentials in various fields. Like their biological …
behavior, showing increasing application potentials in various fields. Like their biological …
Self-supervised information bottleneck for deep multi-view subspace clustering
In this paper, we explore the problem of deep multi-view subspace clustering framework
from an information-theoretic point of view. We extend the traditional information bottleneck …
from an information-theoretic point of view. We extend the traditional information bottleneck …
Fusion of tactile and visual information in deep learning models for object recognition
Humans use multimodal sensory information to understand the physical properties of their
environment. Intelligent decision-making systems such as the ones used in robotic …
environment. Intelligent decision-making systems such as the ones used in robotic …
Robotic multifinger grasping state recognition based on adaptive multikernel dictionary learning
Traditional grasping analysis of mechanical dexterous grippers tends to flatten a multifinger
tactile series into 1-D, which ignores the force coupling between fingers and their different …
tactile series into 1-D, which ignores the force coupling between fingers and their different …
Lifelong robotic visual-tactile perception learning
Lifelong machine learning can learn a sequence of consecutive robotic perception tasks via
transferring previous experiences. However, 1) most existing lifelong learning based …
transferring previous experiences. However, 1) most existing lifelong learning based …
A high-accuracy circular hole measurement method based on multi-camera system
Industrial parts often contain a large number of circular holes that are often used as
assembly datums. Measuring circular holes with high accuracy is very challenging due to …
assembly datums. Measuring circular holes with high accuracy is very challenging due to …
Partial visual-tactile fused learning for robotic object recognition
Currently, visual-tactile fusion learning for robotic object recognition has achieved appealing
performance, due to the fact that visual and tactile data can offer complementary information …
performance, due to the fact that visual and tactile data can offer complementary information …
A convenient and high-accuracy multicamera calibration method based on imperfect spherical objects
Multicamera systems have important applications in industrial online measurement,
attracting wide interest due to their encouraging performance. However, how to develop a …
attracting wide interest due to their encouraging performance. However, how to develop a …
Arbitrary Surface Contact Sensing Method for Physical Human–Robot Interaction
D Jung, S Bu, U Kim - IEEE Transactions on Industrial …, 2024 - ieeexplore.ieee.org
In this article, we propose an intrinsic contact force sensing method on an arbitrary surface
using six-axis force/torque information. An arbitrary surface is defined by a triangle mesh …
using six-axis force/torque information. An arbitrary surface is defined by a triangle mesh …