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Related papers: Autonomous soft hand grasping -- Literature review

200 papers

Machines that mimic humans have inspired scientists for centuries. Bio-inspired soft robotic hands are a good example of such an endeavor, featuring intrinsic material compliance and continuous motion to deal with uncertainty and adapt to…

Robotics · Computer Science 2023-08-10 Samuel Alves , Mihail Babcinschi , Afonso Silva , Diogo Neto , Diogo Fonseca , Pedro Neto

Many soft-body organisms found in nature flourish underwater. Similarly, soft robots are potentially well-suited for underwater environments partly because the problematic effects of gravity, friction, and harmonic oscillations are less…

Robotics · Computer Science 2022-12-07 W. David Null , Y Z

Soft robots offer more flexibility, compliance, and adaptability than traditional rigid robots. They are also typically lighter and cheaper to manufacture. However, their use in real-world applications is limited due to modeling challenges…

Dynamic in-hand manipulation remains a challenging task for soft robotic systems that have demonstrated advantages in safe compliant interactions but struggle with high-speed dynamic tasks. In this work, we present SWIFT, a system for…

Robotics · Computer Science 2024-11-20 Yunchao Yao , Uksang Yoo , Jean Oh , Christopher G. Atkeson , Jeffrey Ichnowski

Soft robots are notoriously hard to control. This is partly due to the scarcity of models able to capture their complex continuum mechanics, resulting in a lack of control methodologies that take full advantage of body compliance. Currently…

Robotics · Computer Science 2020-09-18 Noel Naughton , Jiarui Sun , Arman Tekinalp , Girish Chowdhary , Mattia Gazzola

Automated industries lead to high quality production, lower manufacturing cost and better utilization of human resources. Robotic manipulator arms have major role in the automation process. However, for complex manipulation tasks, hard…

In this paper, a reinforced soft robot prototype with a custom-designed actuator-space string encoder are created to investigate dynamic soft robotic trajectory tracking. The soft robot prototype embedded with the proposed adaptive…

Robotics · Computer Science 2022-09-26 Milad Azizkhani , Anthony L. Gunderman , Isuru S. Godage , Yue Chen

Dexterous in-hand manipulation is a unique and valuable human skill requiring sophisticated sensorimotor interaction with the environment while respecting stability constraints. Satisfying these constraints with generated motions is…

Soft robotic hands promise to provide compliant and safe interaction with objects and environments. However, designing soft hands to be both compliant and functional across diverse use cases remains challenging. Although co-design of…

In human-made scenarios, robots need to be able to fully operate objects in their surroundings, i.e., objects are required to be functionally grasped rather than only picked. This imposes very strict constraints on the object pose such that…

Robotics · Computer Science 2019-10-02 Dmytro Pavlichenko , Diego Rodriguez , Christian Lenz , Max Schwarz , Sven Behnke

Regardless of their industrial or research application, the streamlining of robot operations is limited by the proximity of experienced users to the actual hardware. Be it massive open online robotics courses, crowd-sourcing of robot task…

Humans can steadily and gently grasp unfamiliar objects based on tactile perception. Robots still face challenges in achieving similar performance due to the difficulty of learning accurate grasp-force predictions and force control…

Robotics · Computer Science 2025-02-05 Mingxuan Li , Lunwei Zhang , Tiemin Li , Yao Jiang

Grasping is an incredible ability of animals using their arms and limbs in their daily life. The human hand is an especially astonishing multi-fingered tool for precise grasping, which helped humans to develop the modern world. The…

Robotics · Computer Science 2023-01-03 Jose James

Tactile-based blind grasping addresses realistic robotic grasping in which the hand only has access to proprioceptive and tactile sensors. The robotic hand has no prior knowledge of the object/grasp properties, such as object weight,…

Robotics · Computer Science 2019-02-11 Wenceslao Shaw-Cortez , Denny Oetomo , Chris Manzie , Peter Choong

Research on tactile sensing has been progressing at constant pace. In robotics, tactile sensing is typically studied in the context of object grasping and manipulation. In this domain, the development of robust, multi-modal, tactile sensors…

Robotics · Computer Science 2022-06-29 Lorenzo Natale , Giorgio Cannata

One of the first tasks we learn as children is to grasp objects based on our tactile perception. Incorporating such skill in robots will enable multiple applications, such as increasing flexibility in industrial processes or providing…

Conventional industrial robots often use two-fingered grippers or suction cups to manipulate objects or interact with the world. Because of their simplified design, they are unable to reproduce the dexterity of human hands when manipulating…

Robotics · Computer Science 2025-09-18 Jana Egli , Benedek Forrai , Thomas Buchner , Jiangtao Su , Xiaodong Chen , Robert K. Katzschmann

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

Despite the advancement in robotic grasping and dexterity through haptic information, affective social touch, such as handshaking or reassuring stroking, remains a major challenge in Human-Robot-Interaction. This position paper examines…

Human-Computer Interaction · Computer Science 2026-05-05 Ali Askari , Jens Gerken

Human-robot object handover is a crucial element for assistive robots that aim to help people in their daily lives, including elderly care, hospitals, and factory floors. The existing approaches to solving these tasks rely on pre-selected…

Robotics · Computer Science 2025-08-06 Lucas Chen , Guna Avula , Hanwen Ren , Zixing Wang , Ahmed H. Qureshi