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Object manipulation in robotics faces challenges due to diverse object shapes, sizes, and fragility. Gripper-based methods offer precision and low degrees of freedom (DOF) but the gripper limits the kind of objects to grasp. On the other…

Robotics · Computer Science 2025-09-01 Pratik Ingle , Kasper Støy , Andres Faiña

Soft robotic grippers gently and safely manipulate delicate objects due to their inherent adaptability and softness. Limited by insufficient stiffness and imprecise force control, conventional soft grippers are not suitable for applications…

Robotics · Computer Science 2025-03-04 Zhenwei Ni , Chang Xu , Zhihang Qin , Ceng Zhang , Zhiqiang Tang , Peiyi Wang , Cecilia Laschi

Paper is a cheap, recyclable, and clean material that is often used to make practical tools. Traditional tool design either relies on simulation or physical analysis, which is often inaccurate and time-consuming. In this paper, we propose…

Robotics · Computer Science 2024-03-15 Ruoshi Liu , Junbang Liang , Sruthi Sudhakar , Huy Ha , Cheng Chi , Shuran Song , Carl Vondrick

Soft robotic grasping has rapidly spread through the academic robotics community in recent years and pushed into industrial applications. At the same time, multimaterial 3D printing has become widely available, enabling the monolithic…

Robotics · Computer Science 2023-03-16 Josh Pinskier , Prabhat Kumar , Matthijs Langelaar , David Howard

Pushing is a motion primitive useful to handle objects that are too large, too heavy, or too cluttered to be grasped. It is at the core of much of robotic manipulation, in particular when physical interaction is involved. It seems…

Robotics · Computer Science 2016-08-05 Kuan-Ting Yu , Maria Bauza , Nima Fazeli , Alberto Rodriguez

Image processing techniques have huge impact on most fields of robotics and industrial automation. Real time methods are usually employed in complex automation tasks, assisting with decision making or directly guiding robots and machinery,…

Robotics · Computer Science 2023-07-13 Kristóf Takács , Renáta Nagyné Elek , Tamás Haidegger

Human-robot handover is a fundamental yet challenging task in human-robot interaction and collaboration. Recently, remarkable progressions have been made in human-to-robot handovers of unknown objects by using learning-based grasp…

Biological systems exhibit a continuous stream of movements, consisting of sequential segments, that allow them to perform complex tasks in a creative and versatile fashion. This observation has led researchers towards identifying…

Robotics · Computer Science 2026-01-07 Nolan B. Gutierrez , William J. Beksi

The application of granular jamming in soft robotics is a recent and promising new technology offer exciting possibilities for creating higher performance robotic devices. Granular jamming is achieved via the application of a vacuum…

Aerial transportation requires a simple yet reliable gripper for picking and placing objects of interest. In this work, we design an aerial gripper for passive grasping and impulsive release of ferrous coated objects. Permanent magnets are…

Robotics · Computer Science 2020-12-14 V. SRajashekhar , M. R. Vibha , Kaushik Das , Debasish Ghose

Cabling tasks (pulling, clipping, and plug insertion) are today mostly manual work, limiting the cost-effectiveness of electrification. Feasibility for the robotic grasping and insertion of plugs, as well as the manipulation of cables, have…

Robotics · Computer Science 2024-04-18 Tanureza Jaya , Benjamin Michalak , Marcel Radke , Kevin Haninger

Recognition techniques allow robots to make proper planning and control strategies to manipulate various objects. Object recognition is more reliable when made by combining several percepts, e.g., vision and haptics. One of the…

Robotics · Computer Science 2021-12-01 Yukiko Osawa , Kei Kase , Yukiyasu Domae , Yoshiyuki Furukawa , Abderrahmane Kheddar

Quadruped robots are increasingly used in various applications due to their high mobility and ability to operate in diverse terrains. However, most available quadruped robots are primarily focused on mobility without object manipulation…

Collecting manipulation demonstrations with robotic hardware is tedious - and thus difficult to scale. Recording data on robot hardware ensures that it is in the appropriate format for Learning from Demonstrations (LfD) methods. By…

Robotics · Computer Science 2023-11-06 Kiran Doshi , Yijiang Huang , Stelian Coros

With the continuous advancement of robot teleoperation technology, shared control is used to reduce the physical and mental load of the operator in teleoperation system. This paper proposes an alternating shared control framework for object…

Robotics · Computer Science 2023-08-01 Qibin Chen , Yaonan Zhu , Kay Hansel , Tadayoshi Aoyama , Yasuhisa Hasegawa

Different manipulation tasks require different types of grasps. For example, holding a heavy tool like a hammer requires a multi-fingered power grasp offering stability, while holding a pen to write requires a multi-fingered precision grasp…

Robotics · Computer Science 2019-01-11 Qingkai Lu , Tucker Hermans

The engineering design of robotic grippers presents an ample design space for optimization towards robust grasping. In this paper, we adopt the reconfigurable design of the robotic gripper using a novel soft finger structure with…

Robotics · Computer Science 2020-07-14 Fang Wan , Haokun Wang , Jiyuan Wu , Yujia Liu , Sheng Ge , Chaoyang Song

Locomotion in microgravity often relies on sparsely and irregularly arranged anchors, motivating grasp-based mobility with multiple limbs. In this setting, dynamic locomotion is feasible only through deliberate regulation of both anchored…

Robotics · Computer Science 2026-05-22 Chaerim Moon , Joohyung Kim , Justin K. Yim

The properties and applications of auxetics have been widely explored in the past years. Through proper utilization of auxetic structures, designs with unprecedented mechanical and structural behaviors can be produced. Taking advantage of…

Robotics · Computer Science 2021-04-01 Shuai Liu , Sheeraz Athar , Michael Yu Wang

Soft robotic grippers are shown to be high effective for grasping unstructured objects with simple sensing and control strategies. However, they are still limited by their speed, sensing capabilities and actuation mechanism. Hence, their…