Robotic perception of transparent objects: A review

J Jiang, G Cao, J Deng, TT Do… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Transparent object perception is a rapidly developing research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …

SISG-Net: Simultaneous instance segmentation and grasp detection for robot grasp in clutter

Y Yan, L Tong, K Song, H Tian, Y Man… - Advanced Engineering …, 2023 - Elsevier
Robots have always found it challenging to grasp in cluttered scenes because of the
complex background information and changing operating environment. Therefore, in order …

[HTML][HTML] Touchroller: A rolling optical tactile sensor for rapid assessment of textures for large surface areas

G Cao, J Jiang, C Lu, DF Gomes, S Luo - Sensors, 2023 - mdpi.com
Tactile sensing is important for robots to perceive the world as it captures the physical
surface properties of the object with which it is in contact and is robust to illumination and …

Learning generalizable vision-tactile robotic grasping strategy for deformable objects via transformer

Y Han, K Yu, R Batra, N Boyd, C Mehta… - IEEE/ASME …, 2024 - ieeexplore.ieee.org
Reliable robotic grasping, especially with deformable objects such as fruits, remains a
challenging task due to underactuated contact interactions with a gripper, unknown object …

Transpose: Large-scale multispectral dataset for transparent object

J Kim, MH Jeon, S Jung, W Yang… - … Journal of Robotics …, 2024 - journals.sagepub.com
Transparent objects are encountered frequently in our daily lives, yet recognizing them
poses challenges for conventional vision sensors due to their unique material properties, not …

Beyond flat gelsight sensors: Simulation of optical tactile sensors of complex morphologies for sim2real learning

DF Gomes, P Paoletti, S Luo - arXiv preprint arXiv:2305.12605, 2023 - arxiv.org
Recently, several morphologies, each with its advantages, have been proposed for the\textit
{GelSight} high-resolution tactile sensors. However, existing simulation methods are limited …

Tacpalm: A soft gripper with a biomimetic optical tactile palm for stable precise grasping

X Zhang, T Yang, D Zhang, NF Lepora - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Manipulating fragile objects in environments such as homes and factories requires stable
and gentle grasping along with precise and safe placement. Compared to traditional rigid …

When Vision Meets Touch: A Contemporary Review for Visuotactile Sensors from the Signal Processing Perspective

S Li, Z Wang, C Wu, X Li, S Luo, B Fang, F Sun… - arXiv preprint arXiv …, 2024 - arxiv.org
Tactile sensors, which provide information about the physical properties of objects, are an
essential component of robotic systems. The visuotactile sensing technology with the merits …

Leveraging Multi-modal Sensing for Robotic Insertion Tasks in R&D Laboratories

A Butterworth, G Pizzuto, L Pecyna… - 2023 IEEE 19th …, 2023 - ieeexplore.ieee.org
Performing a large volume of experiments in Chemistry labs creates repetitive actions
costing researchers time, automating these routines is highly desirable. Previous …

Learn from Incomplete Tactile Data: Tactile Representation Learning with Masked Autoencoders

G Cao, J Jiang, D Bollegala… - 2023 IEEE/RSJ …, 2023 - ieeexplore.ieee.org
The missing signal caused by the objects being occluded or an unstable sensor is a
common challenge during data collection. Such missing signals will adversely affect the …