Object handovers: a review for robotics

V Ortenzi, A Cosgun, T Pardi, WP Chan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
This article surveys the literature on human–robot object handovers. A handover is a
collaborative joint action, where an agent, the giver, gives an object to another agent, the …

Hand-object contact consistency reasoning for human grasps generation

H Jiang, S Liu, J Wang, X Wang - Proceedings of the IEEE …, 2021 - openaccess.thecvf.com
While predicting robot grasps with parallel jaw grippers have been well studied and widely
applied in robot manipulation tasks, the study on natural human grasp generation with a …

Grasping field: Learning implicit representations for human grasps

K Karunratanakul, J Yang, Y Zhang… - … Conference on 3D …, 2020 - ieeexplore.ieee.org
Robotic grasping of house-hold objects has made remarkable progress in recent years. Yet,
human grasps are still difficult to synthesize realistically. There are several key reasons:(1) …

RBO Hand 3: A Platform for Soft Dexterous Manipulation

S Puhlmann, J Harris, O Brock - IEEE Transactions on Robotics, 2022 - ieeexplore.ieee.org
In this article, we present the RBO Hand 3, a highly capable and versatile anthropomorphic
soft hand based on pneumatic actuation. The RBO Hand 3 is designed to enable dexterous …

Contactdb: Analyzing and predicting grasp contact via thermal imaging

S Brahmbhatt, C Ham, CC Kemp… - Proceedings of the …, 2019 - openaccess.thecvf.com
Grasping and manipulating objects is an important human skill. Since hand-object contact is
fundamental to grasping, capturing it can lead to important insights. However, observing …

Flex: Full-body grasping without full-body grasps

P Tendulkar, D Surís… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Synthesizing 3D human avatars interacting realistically with a scene is an important problem
with applications in AR/VR, video games, and robotics. Towards this goal, we address the …

Robotic manipulation and the role of the task in the metric of success

V Ortenzi, M Controzzi, F Cini, J Leitner… - Nature Machine …, 2019 - nature.com
Humans perform object manipulation in order to execute a specific task. Seldom is such
action started with no goal in mind. In contrast, traditional robotic grasping (first stage for …

Postural hand synergies during environmental constraint exploitation

C Della Santina, M Bianchi, G Averta, S Ciotti… - Frontiers in …, 2017 - frontiersin.org
Humans are able to intuitively exploit the shape of an object and environmental constraints
to achieve stable grasps and perform dexterous manipulations. In doing that, a vast range of …

An anthropomorphic robotic hand with a soft-rigid hybrid structure and positive-negative pneumatic actuation

C Zhang, M Li, Y Chen, Z Yang, B He… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
Anthropomorphic robotic hands are seeking to achieve key features such as multi-degree-of-
freedom motion ability, bi-directional actuation, high adaptability, and sufficient stiffness. In …

Recognition of Grasping Patterns Using Deep Learning for Human–Robot Collaboration

P Amaral, F Silva, V Santos - Sensors, 2023 - mdpi.com
Recent advances in the field of collaborative robotics aim to endow industrial robots with
prediction and anticipation abilities. In many shared tasks, the robot's ability to accurately …