Robotics dexterous grasping: The methods based on point cloud and deep learning

H Duan, P Wang, Y Huang, G Xu, W Wei… - Frontiers in …, 2021 - frontiersin.org
Dexterous manipulation, especially dexterous grasping, is a primitive and crucial ability of
robots that allows the implementation of performing human-like behaviors. Deploying the …

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 …

Robotic grasping from classical to modern: A survey

H Zhang, J Tang, S Sun, X Lan - arXiv preprint arXiv:2202.03631, 2022 - arxiv.org
Robotic Grasping has always been an active topic in robotics since grasping is one of the
fundamental but most challenging skills of robots. It demands the coordination of robotic …

Visuo-haptic object perception for robots: an overview

N Navarro-Guerrero, S Toprak, J Josifovski… - Autonomous …, 2023 - Springer
The object perception capabilities of humans are impressive, and this becomes even more
evident when trying to develop solutions with a similar proficiency in autonomous robots …

Tactile and vision perception for intelligent humanoids

S Gao, Y Dai, A Nathan - Advanced Intelligent Systems, 2022 - Wiley Online Library
Touch and vision perception are two important functions humans use to interact with the real
world. To mimic human‐like abilities, tactile‐and visual‐sensing‐based intelligent …

Benchmark for human-to-robot handovers of unseen containers with unknown filling

R Sanchez-Matilla, K Chatzilygeroudis… - IEEE Robotics and …, 2020 - ieeexplore.ieee.org
The real-time estimation through vision of the physical properties of objects manipulated by
humans is important to inform the control of robots for performing accurate and safe grasps …

Review of bioinspired vision-tactile fusion perception (VTFP): From humans to humanoids

B He, Q Miao, Y Zhou, Z Wang, G Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Humanoid robots are designed and expected to resemble humans in structure and
behavior, showing increasing application potentials in various fields. Like their biological …

PoseIt: a visual-tactile dataset of holding poses for grasp stability analysis

S Kanitkar, H Jiang, W Yuan - 2022 IEEE/RSJ International …, 2022 - ieeexplore.ieee.org
When humans grasp objects in the real world, we often move our arms to hold the object in a
different pose where we can use it. In contrast, typical lab settings only study the stability of …

Toward Low-Latency Cross-Modal Communication: A Flexible Prediction Scheme

Y Chen, P Li, A Li, D Wu, L Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To ensure the users' immersive experience in cross-modal communication, overcoming the
end-to-end (E2E) latency through prediction has attracted attention and shown its …

DoraHand: a novel dexterous hand with tactile sensing finger module

T Wang, Z Xie, Y Li, Y Zhang, H Zhang… - Industrial Robot: the …, 2022 - emerald.com
Purpose This study aims to introduce the DoraHand, and the basic capability and
performance have been verified in this paper. Besides the idea of sharing modular design …