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We present a technique for dynamically projecting 3D content onto human hands with short perceived motion-to-photon latency. Computing the pose and shape of human hands accurately and quickly is a challenging task due to their articulated…

Graphics · Computer Science 2024-09-09 Yotam Erel , Or Kozlovsky-Mordenfeld , Daisuke Iwai , Kosuke Sato , Amit H. Bermano

Dexterous functional tool-use grasping is essential for effective robotic manipulation of tools. However, existing approaches face significant challenges in efficiently constructing large-scale datasets and ensuring generalizability to…

Robotics · Computer Science 2025-11-14 Sizhe Wang , Yifan Yang , Yongkang Luo , Daheng Li , Wei Wei , Yan Zhang , Peiying Hu , Yunjin Fu , Haonan Duan , Jia Sun , Peng Wang

Humans frequently grasp, manipulate, and move objects. Interactive systems assist humans in these tasks, enabling applications in Embodied AI, human-robot interaction, and virtual reality. However, current methods in hand-object synthesis…

Robotics · Computer Science 2025-03-10 Sammy Christen

In-hand pivoting is one of the important manipulation skills that leverage robot grippers' extrinsic dexterity to perform repositioning tasks to compensate for environmental uncertainties and imprecise motion execution. Although many…

Robotics · Computer Science 2023-03-07 Yaonan Zhu , Jacinto Colan , Tadayoshi Aoyama , Yasuhisa Hasegawa

We introduce SoftAct, a framework for teaching soft robot hands to perform human-like manipulation skills by explicitly reasoning about contact forces. Leveraging immersive virtual reality, our system captures rich human demonstrations,…

The paper deals with the well-known problem of teleoperating a robotic arm along six degrees of freedom. The prevailing and most effective approach to this problem involves a direct position-to-position mapping, imposing robotic…

Robotics · Computer Science 2024-06-14 Alexis Poignant , Guillaume Morel , Nathanaël Jarrassé

Robot-to-human object handover is an essential skill for robot assistants, from serving drinks at home to passing surgical tools in the operating room. We expect robots to perform handover robustly -- to release the object only after a firm…

Robotics · Computer Science 2026-05-07 Linfeng Li , Lin Shao , David Hsu

We introduce VR-Doh, an open-source, hands-on 3D modeling system that enables intuitive creation and manipulation of elastoplastic objects in Virtual Reality (VR). By customizing the Material Point Method (MPM) for real-time simulation of…

Graphics · Computer Science 2025-06-25 Zhaofeng Luo , Zhitong Cui , Shijian Luo , Mengyu Chu , Minchen Li

We present an assistance system that reasons about a human's intended actions during robot teleoperation in order to provide appropriate corrections for unintended behavior. We model the human's physical interaction with a control interface…

Robotics · Computer Science 2020-11-09 Deepak Gopinath , Mahdieh Nejati Javaremi , Brenna D. Argall

A significant barrier preventing model-based methods from achieving real-time and versatile dexterous robotic manipulation is the inherent complexity of multi-contact dynamics. Traditionally formulated as complementarity models,…

Robotics · Computer Science 2025-04-23 Wanxin Jin

In the context of imitation learning applied to dexterous robotic hands, the high complexity of the systems makes learning complex manipulation tasks challenging. However, the numerous datasets depicting human hands in various different…

Robotics · Computer Science 2024-04-26 Davide Liconti , Yasunori Toshimitsu , Robert Katzschmann

This paper presents the design, control, and applications of a multi-segment soft robotic arm. In order to design a soft arm with large load capacity, several design principles are proposed by analyzing two kinds of buckling issues, under…

Robotics · Computer Science 2020-07-09 Hao Jiang , Zhanchi Wang , Yusong Jin , Xiaotong Chen , Peijin Li , Yinghao Gan , Sen Lin , Xiaoping Chen

Optimizing behaviors for dexterous manipulation has been a longstanding challenge in robotics, with a variety of methods from model-based control to model-free reinforcement learning having been previously explored in literature. Perhaps…

Robotics · Computer Science 2022-03-25 Sridhar Pandian Arunachalam , Sneha Silwal , Ben Evans , Lerrel Pinto

Human-robot collaboration has benefited users with higher efficiency towards interactive tasks. Nevertheless, most collaborative schemes rely on complicated human-machine interfaces, which might lack the requisite intuitiveness compared…

Robotics · Computer Science 2024-10-28 Haolin Fei , Stefano Tedeschi , Yanpei Huang , Andrew Kennedy , Ziwei Wang

The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Machine learning algorithms can automatically propose, test,…

Human hands play a central role in interacting with other people and objects. For realistic replication of such hand motions, high-fidelity hand meshes have to be reconstructed. In this study, we firstly propose DeepHandMesh, a…

Computer Vision and Pattern Recognition · Computer Science 2020-08-20 Gyeongsik Moon , Takaaki Shiratori , Kyoung Mu Lee

Hand synergies, or joint coordination patterns, have become an effective tool for achieving versatile robotic grasping with simple hands or planning algorithms. Here we propose a method to determine the hand synergies such that they can be…

Robotics · Computer Science 2018-08-02 Tianjian Chen , Maximilian Haas-Heger , Matei Ciocarlie

In this project, we focus on human-robot interaction in caregiving scenarios like bathing, where physical contact is inevitable and necessary for proper task execution because force must be applied to the skin. Using finite element…

Application of soft and compliant joints in grasping mechanisms received an increasing attention during recent years. This article suggests the design and development of a novel bio-inspired compliant finger which is composed of a 3D…

Robotics · Computer Science 2023-04-14 Mahmoud Tavakoli , Andriy Sayuk , João Lourenço , Pedro Neto

For designing a wide range of everyday objects, the design process should be aware of both the human body and the underlying semantics of the design specification. However, these two objectives present significant challenges to the current…

Computer Vision and Pattern Recognition · Computer Science 2025-03-31 Michelle Guo , Mia Tang , Hannah Cha , Ruohan Zhang , C. Karen Liu , Jiajun Wu