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Grasping deformable objects is not well researched due to the complexity in modelling and simulating the dynamic behavior of such objects. However, with the rapid development of physics-based simulators that support soft bodies, the…

机器人学 · 计算机科学 2021-07-20 Tran Nguyen Le , Jens Lundell , Fares J. Abu-Dakka , Ville Kyrki

Robotic grasping of 3D deformable objects (e.g., fruits/vegetables, internal organs, bottles/boxes) is critical for real-world applications such as food processing, robotic surgery, and household automation. However, developing grasp…

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

机器人学 · 计算机科学 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Dexterous grasping of unseen objects in dynamic environments is an essential prerequisite for the advanced manipulation of autonomous robots. Prior advances rely on several assumptions that simplify the setup, including environment…

机器人学 · 计算机科学 2024-04-09 Yannick Burkhardt , Qian Feng , Jianxiang Feng , Karan Sharma , Zhaopeng Chen , Alois Knoll

This paper presents a soft robot finger capable of adaptive-twist deformation to grasp objects by wrapping them. For a soft hand to grasp and pick-up one object from densely contained multiple objects, a soft finger requires the…

机器人学 · 计算机科学 2025-10-29 Hiroki Ishikawa , Kyosuke Ishibashi , Ko Yamamoto

Safe yet stable grasping requires a robotic hand to apply sufficient force on the object to immobilize it while keeping it from getting damaged. Soft robotic hands have been proposed for safe grasping due to their passive compliance, but…

机器人学 · 计算机科学 2021-01-26 Tran Nguyen Le , Jens Lundell , Ville Kyrki

Grasping of novel objects in pick and place applications is a fundamental and challenging problem in robotics, specifically for complex-shaped objects. It is observed that the well-known strategies like \textit{i}) grasping from the…

机器人学 · 计算机科学 2020-01-08 Mohit Vohra , Ravi Prakash , Laxmidhar Behera

Food waste management is critical for sustainability, yet inorganic contaminants hinder recycling potential. Robotic automation accelerates sorting through automated contaminant removal. Nevertheless, the diverse and unpredictable nature of…

机器人学 · 计算机科学 2026-04-21 Moniesha Thilakarathna , Xing Wang , Min Wang , David Hinwood , Shuangzhe Liu , Damith Herath

A shared grasp is a grasp formed by contacts between the manipulated object and both the robot hand and the environment. By trading off hand contacts for environmental contacts, a shared grasp requires fewer contacts with the hand, and…

机器人学 · 计算机科学 2020-06-05 Yifan Hou , Zhenzhong Jia , Matthew T. Mason

Robotic manipulation of deformable objects gains great attention due to its wide applications including medical surgery, home assistance, and automatic food preparation. The ability to deform soft objects remains a great challenge for…

机器人学 · 计算机科学 2022-10-06 Jan Ondras , Di Ni , Xi Deng , Zeqi Gu , Henry Zheng , Tapomayukh Bhattacharjee

The ability to robustly grasp a variety of objects is essential for dexterous robots. In this paper, we present a framework for zero-shot dynamic dexterous grasping using single-view visual inputs, designed to be resilient to various…

机器人学 · 计算机科学 2025-08-15 Hui Zhang , Zijian Wu , Linyi Huang , Sammy Christen , Jie Song

This paper presents the technique of flex-and-flip manipulation. It is suitable for grasping thin, flexible linear objects lying on a flat surface. During the manipulation process, the object is first flexed by a robotic gripper whose…

机器人学 · 计算机科学 2023-04-04 Chunli Jiang , Abdullah Nazir , Ghasem Abbasnejad , Jungwon Seo

Robotic manipulation of flexible objects is widely required in both industrial and service applications. Among such objects, paper-like materials exhibit distinct mechanical characteristics compared to cloth, being more sensitive to…

机器人学 · 计算机科学 2026-05-13 Yi Dong , Yang Li , Jinjun Duan , Zhendong Dai

A dexterous hand capable of grasping any object is essential for the development of general-purpose embodied intelligent robots. However, due to the high degree of freedom in dexterous hands and the vast diversity of objects, generating…

计算机视觉与模式识别 · 计算机科学 2025-03-18 Yiming Zhong , Qi Jiang , Jingyi Yu , Yuexin Ma

Endowing robots with tactile capabilities opens up new possibilities for their interaction with the environment, including the ability to handle fragile and/or soft objects. In this work, we equip the robot gripper with low-cost…

机器人学 · 计算机科学 2023-06-12 Michael C. Welle , Martina Lippi , Haofei Lu , Jens Lundell , Andrea Gasparri , Danica Kragic

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…

Generating stable and robust grasps on arbitrary objects is critical for dexterous robotic hands, marking a significant step towards advanced dexterous manipulation. Previous studies have mostly focused on improving differentiable grasping…

机器人学 · 计算机科学 2024-04-26 Sirui Chen , Jeannette Bohg , C. Karen Liu

This paper introduces a novel and general method to address the problem of using a general-purpose robot manipulator with a parallel gripper to wrap a deformable linear object (DLO), called a rope, around a rigid object, called a rod,…

机器人学 · 计算机科学 2023-04-12 Zhaoyuan Ma , Jing Xiao

This letter proposes a novel single-fingered reconfigurable robotic gripper for grasping objects in narrow working spaces. The finger of the developed gripper realizes two configurations, namely, the insertion and grasping modes, using only…

Autonomous grasping of novel objects that are previously unseen to a robot is an ongoing challenge in robotic manipulation. In the last decades, many approaches have been presented to address this problem for specific robot hands. The…

机器人学 · 计算机科学 2022-07-01 Kelin Li , Nicholas Baron , Xian Zhang , Nicolas Rojas