Learning-based robotic grasping: A review

Z Xie, X Liang, C Roberto - Frontiers in Robotics and AI, 2023 - frontiersin.org
As personalization technology increasingly orchestrates individualized shopping or
marketing experiences in industries such as logistics, fast-moving consumer goods, and …

Tactile-sensing technologies: Trends, challenges and outlook in agri-food manipulation

W Mandil, V Rajendran, K Nazari… - Sensors, 2023 - mdpi.com
Tactile sensing plays a pivotal role in achieving precise physical manipulation tasks and
extracting vital physical features. This comprehensive review paper presents an in-depth …

A review on sensory perception for dexterous robotic manipulation

Z Xia, Z Deng, B Fang, Y Yang… - International Journal of …, 2022 - journals.sagepub.com
Sensory perception for dexterous robotic hands is an active research area and recent
progress in robotics. Effective dexterous manipulation requires robotic hands to accurately …

Vision-based tactile sensor mechanism for the estimation of contact position and force distribution using deep learning

V Kakani, X Cui, M Ma, H Kim - Sensors, 2021 - mdpi.com
This work describes the development of a vision-based tactile sensor system that utilizes the
image-based information of the tactile sensor in conjunction with input loads at various …

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 …

Neural contact fields: Tracking extrinsic contact with tactile sensing

C Higuera, S Dong, B Boots… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
We present Neural Contact Fields, a method that brings together neural fields and tactile
sensing to address the problem of tracking extrinsic contact between object and …

Proactive slip control by learned slip model and trajectory adaptation

K Nazari, W Mandil… - Conference on Robot …, 2023 - proceedings.mlr.press
This paper presents a novel control approach to dealing with a slip during robotic
manipulative movements. Slip is a major cause of failure in many robotic grasping and …

Towards Human-in-the-Loop Shared Control for Upper-Limb Prostheses: A Systematic Analysis of State-of-the-Art Technologies

W Guo, W Xu, Y Zhao, X Shi, X Sheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Dexterous prosthetic hand is an essential rehabilitation assistant device to improve the life
quality of amputee patients. Despite the continuous emergence of commercial prostheses …

High-resolution 3-dimensional contact deformation tracking for fingervision sensor with dense random color pattern

Y Du, G Zhang, Y Zhang… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
Recent studies on vision-based tactile sensing have shown promising results on the
perception of contact information, which could improve the performance of dexterous …

Action conditioned tactile prediction: a case study on slip prediction

W Mandil, K Nazari - arXiv preprint arXiv:2205.09430, 2022 - arxiv.org
Tactile predictive models can be useful across several robotic manipulation tasks, eg robotic
pushing, robotic grasping, slip avoidance, and in-hand manipulation. However, available …