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Variable stiffness actuators undergo lower peak force in contacts compared to their rigid counterparts, and are thus safer for human-robot interaction. Furthermore, they can store energy in their elastic element and can release it later to…

Human-Computer Interaction · Computer Science 2017-08-01 Manuel Aiple , André Schiele

Interaction in virtual reality (VR) environments is essential to achieve a pleasant and immersive experience. Most of the currently existing VR applications, lack of robust object grasping and manipulation, which are the cornerstone of…

Microscopic robots could perform tasks with high spatial precision, such as acting in biological tissues on the scale of individual cells, provided they can reach precise locations. This paper evaluates the feasibility of in vivo locomotion…

Robotics · Computer Science 2014-07-23 Tad Hogg

Simulating soft robots in cluttered environments remains an open problem due to the challenge of capturing complex dynamics and interactions with the environment. Furthermore, fast simulation is desired for quickly exploring robot behaviors…

Robotics · Computer Science 2020-11-04 Rianna Jitosho , Nathaniel Agharese , Allison Okamura , Zac Manchester

Robotic manipulation can benefit from wrist-mounted force/torque (F/T) sensors, but conventional F/T sensors can be expensive, difficult to install, and damaged by high loads. We present Visual Force/Torque Sensing (VFTS), a method that…

Robotics · Computer Science 2023-05-09 Jeremy A. Collins , Patrick Grady , Charles C. Kemp

Robot performance has advanced considerably both in and out of the factory, however in tightly constrained, unknown environments such as inside a jet engine or the human heart, current robots are less adept. In such cases where a borescope…

Robotics · Computer Science 2024-11-20 Mijaíl Jaén Mendoza , Nicholas D. Naclerio , Elliot W. Hawkes

The problem of acquiring elastic properties of a composite material from the data of the vibrational testing is considered. The specimen is considered to abide by the linear elasticity laws and subject to viscoelastic damping. The BVP for…

Numerical Analysis · Mathematics 2024-01-22 Vitalii Aksenov , Aleksey Vasyukov , Katerina Beklemysheva

Fast grasping is critical for mobile robots in logistics, manufacturing, and service applications. Existing methods face fundamental challenges in impact stabilization under high-speed motion, real-time whole-body coordination, and…

Robotics · Computer Science 2026-04-15 Heng Tao , Yiming Zhong , Zemin Yang , Yuexin Ma

Cooperative transport, the simultaneous movement of an object by multiple agents, has been widely observed in biological systems such as ant colonies, which improve efficiency and adaptability in dynamic environments. Inspired by these…

We analyze in this paper a virtual element approximation for the acoustic vibration problem. We consider a variational formulation relying only on the fluid displacement and propose a discretization by means of H(div) virtual elements with…

Numerical Analysis · Mathematics 2016-01-19 Lourenço Beirão da Veiga , David Mora , Gonzalo Rivera , Rodolfo Rodríguez

Like in liquids, objects moving in granular materials experience a drag force. We investigate here whether and how the object acceleration affect this drag force. The study is based on simulations of a canonical drag test, which involves…

Soft Condensed Matter · Physics 2019-07-15 Shivakumar Athani , Pierre Rognon

We present here the preliminary results obtained for two experiments on randomly agitated granular assemblies using a novel way of shaking. First we discuss the transport properties of a 2D model system undergoing classical shaking that…

Statistical Mechanics · Physics 2009-11-10 G. Caballero , A. Lindner , G. Ovarlez , G. Reydellet , J. Lanuza , E. Clement

Grasping an object is a matter of first moving a prehensile organ at some position in the world, and then managing the contact relationship between the prehensile organ and the object. Once the contact relationship has been established and…

Robotics · Computer Science 2016-05-02 Jean-Paul Laumond

Deformable object manipulation requires computationally efficient representations that are compatible with robotic sensing modalities. In this paper, we present VIRDO:an implicit, multi-modal, and continuous representation for…

Robotics · Computer Science 2022-09-28 Youngsun Wi , Pete Florence , Andy Zeng , Nima Fazeli

Novel robotic grippers have captured increasing interests recently because of their abilities to adapt to varieties of circumstances and their powerful functionalities. Differing from traditional gripper with mechanical components-made…

Nonlinear relaxation dynamics of a vertically-vibrated granular pile is experimentally studied. In the experiment, the flux and slope on the relaxing pile are measured by using a high-speed laser profiler. The relation of these quantities…

Soft Condensed Matter · Physics 2018-03-28 Daisuke Tsuji , Michio Otsuki , Hiroaki Katsuragi

Optical vibration sensing enables recovering the scene sound directly from the surface vibration of nearby objects, turning everyday objects into ``visual microphones''. However, most prior methods had focused on capturing the vibrations of…

Computer Vision and Pattern Recognition · Computer Science 2026-04-30 Shai Bagon , Matan Kichler , Mark Sheinin

Gripping and holding of objects are key tasks for robotic manipulators. The development of universal grippers able to pick up unfamiliar objects of widely varying shape and surface properties remains, however, challenging. Most current…

Soft robotic grippers facilitate contact-rich manipulation, including robust grasping of varied objects. Yet the beneficial compliance of a soft gripper also results in significant deformation that can make precision manipulation…

As the number of the robot's degrees of freedom increases, the implementation of robot motion becomes more complex and difficult. In this study, we focus on learning 6DOF-grasping motion and consider dividing the grasping motion into…

Robotics · Computer Science 2021-03-24 Daichi Kawakami , Ryoichi Ishikawa , Menandro Roxas , Yoshihiro Sato , Takeshi Oishi
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