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In-hand manipulation is a crucial ability for reorienting and repositioning objects within grasps. The main challenges in this are not only the complexity of the computational models, but also the risks of grasp instability caused by active…

Robotics · Computer Science 2025-07-18 Hayden Webb , Podshara Chanrungmaneekul , Shenli Yuan , Kaiyu Hang

This paper addresses the planar finger kinematics for seeking optimized manipulation strategies. The first step is to model based on geometric features of linear and rotation motion so that the robot can select the fingers configurations.…

Robotics · Computer Science 2024-01-15 Jingyi Li

Manipulating a deformable linear object (DLO) such as wire, cable, and rope is a common yet challenging task due to their high degrees of freedom and complex deformation behaviors, especially in an environment with obstacles. Existing local…

Robotics · Computer Science 2025-12-02 Burak Aksoy , John Wen

Handling oversized, variable-shaped, or delicate objects in transportation, grasping tasks is extremely challenging, mainly due to the limitations of the gripper's shape and size. This paper proposes a novel gripper, Lasso Gripper. Inspired…

Robotics · Computer Science 2025-06-18 Qiyuan Qiao , Yu Wang , Xiyu Fan , Peng Lu

Track systems effectively distribute loads, augmenting traction and maneuverability on unstable terrains, leveraging their expansive contact areas. This tracked locomotion capability also aids in hand manipulation of not only regular…

Robotics · Computer Science 2023-11-28 Sen Li , Fang Wan , Chaoyang Song

This paper introduces a novel robotic gripper, named as the SPD gripper. It features a palm and two mechanically identical and symmetrically arranged fingers, which can be driven independently or by a single motor. The fingertips of the…

Robotics · Computer Science 2025-10-21 Haokai Ding , Wenzeng Zhang

In this paper, we present asymmetric pivot manipulation for picking up rigid hollow objects to achieve a hole grasp. The pivot motion, executed by a position-controlled robotic arm, enables the gripper to effectively grasp hollow objects…

Robotics · Computer Science 2025-04-09 Jinseong Park , Jeong-Jung Kim , Doo-Yeol Koh

A rigid-flexible manipulator may be assigned tasks in a moving environment where the winds or vibrations affect the position and/or orientation of surface of operation. Consequently, losses of the contact and perhaps degradation of the…

Robotics · Computer Science 2007-05-23 Atef A. Ata , Habib Johar

Soft robotic fingers can safely grasp fragile or variable form objects, but their force capacity is limited, especially with less contact area: precision grasps and when objects are smaller or not spherical. Current research is improving…

Robotics · Computer Science 2024-03-26 Hun Jang , Valentyn Petrichenko , Joonbum Bae , Kevin Haninger

Grasping, in both biological and engineered mechanisms, can be highly sensitive to the gripper and object morphology, as well as perception, and motion planning. Here we circumvent the need for feedback or precise planning by using an array…

This paper presents a robotic manipulation technique for dexterous ungrasping. It refers to the capability of securely transferring a grasped object from the gripper to the robot's environment, i.e. the inverse of grasping or picking,…

Robotics · Computer Science 2024-10-28 Chung Hee Kim , Ka Hei Mak , Jungwon Seo

Recently, suction-based robotic systems with microscopic features or active suction components have been proposed to grip rough and irregular surfaces. However, sophisticated fabrication methods or complex control systems are required for…

Applied Physics · Physics 2021-07-19 Sukho Song , Dirk-Michael Drotlef , Donghoon Son , Anastasia Koivikko , Metin Sitti

Interactive perception enables robots to manipulate the environment and objects to bring them into states that benefit the perception process. Deformable objects pose challenges to this due to significant manipulation difficulty and…

Cables are complex, high dimensional, and dynamic objects. Standard approaches to manipulate them often rely on conservative strategies that involve long series of very slow and incremental deformations, or various mechanical fixtures such…

Robotics · Computer Science 2020-06-24 Yu She , Shaoxiong Wang , Siyuan Dong , Neha Sunil , Alberto Rodriguez , Edward Adelson

Grasping deformable objects with varying stiffness remains a significant challenge in robotics. Estimating the local stiffness of a target object is important for determining an optimal grasp pose that enables stable pickup without damaging…

Robotics · Computer Science 2026-03-31 Ngoc Duy Tran , Yeman Fan , Feng Dai , Khang Nguyen , Anh Nguyen , Hoang Hiep Ly , Tung D. Ta , Shigeru Chiba

Inspired by widely used soft fingers on grasping, we propose a method of rigid-soft interactive learning, aiming at reducing the time of data collection. In this paper, we classify the interaction categories into Rigid-Rigid, Rigid-Soft,…

Robotics · Computer Science 2020-03-04 Linhan Yang , Fang Wan , Haokun Wang , Xiaobo Liu , Yujia Liu , Jia Pan , Chaoyang Song

Robotic grippers are receiving increasing attention in various industries as essential components of robots for interacting and manipulating objects. While significant progress has been made in the past, conventional rigid grippers still…

Robotics · Computer Science 2024-04-02 Qianyu Guo , Ziqing Yu , Jiaming Fu , Yawen Lu , Yahya Zweiri , Dongming Gan

Soft tissue manipulation is an integral aspect of most surgical procedures; however, the vast majority of surgical graspers used today are made of hard materials, such as metals or hard plastics. Furthermore, these graspers predominately…

Robotics · Computer Science 2025-01-15 Roman Mykhailyshyn , Ann Majewicz Fey

Robotic grasping requires safe force interaction to prevent a grasped object from being damaged or slipping out of the hand. In this vein, this paper proposes an integrated framework for grasping with formal safety guarantees based on…

Robotics · Computer Science 2025-11-20 Yitaek Kim , Jeeseop Kim , Albert H. Li , Aaron D. Ames , Christoffer Sloth

Teleoperation is often limited by the ability of an operator to react and predict the behavior of the robot as it interacts with the environment. For example, to grasp small objects on a table, the teleoperator needs to predict the position…

Robotics · Computer Science 2022-05-17 Guilherme Maeda , Naoki Fukaya , Shin-ichi Maeda