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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

This paper presents a control scheme for force sensitive, gentle grasping with a Pisa/IIT anthropomorphic SoftHand equipped with a miniaturised version of the TacTip optical tactile sensor on all five fingertips. The tactile sensors provide…

Regulating grasping force to reduce slippage during dynamic object interaction remains a fundamental challenge in robotic manipulation, especially when objects are manipulated by multiple rolling contacts, have unknown properties (such as…

Robotics · Computer Science 2025-12-25 Cheng-Yu Kuo , Hirofumi Shin , Takamitsu Matsubara

Complex robotic tasks require human collaboration to benefit from their high dexterity. Frequent human-robot interaction is mentally demanding and time-consuming. Intuitive and easy-to-use robot control interfaces reduce the negative…

Human-Computer Interaction · Computer Science 2022-11-03 Sautenkov Oleg , Altamirano Cabrera Miguel , Rakhmatulin Viktor , Tsetserukou Dzmitry

Tactile perception is an essential ability of intelligent robots in interaction with their surrounding environments. This perception as an intermediate level acts between sensation and action and has to be defined properly to generate…

Robotics · Computer Science 2019-07-24 Masoud Baghbahari , Aman Behal

Grasping an unknown object is difficult for robot hands. When the characteristics of the object are unknown, knowing how to plan the speed at and width to which the fingers are narrowed is difficult. In this paper, we propose a method to…

Robotics · Computer Science 2024-10-23 Shunsuke Tokiwa , Hikaru Arita , Yosuke Suzuki , Kenji Tahara

The development of tactile sensing and its fusion with computer vision is expected to enhance robotic systems in handling complex tasks like deformable object manipulation. However, readily available industrial grippers typically lack…

Robotics · Computer Science 2023-06-12 Remko Proesmans , Francis wyffels

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…

Contact feedback is essential for contact-rich robotic manipulation, as it allows the robot to detect subtle interaction changes and adjust its actions accordingly. Six-axis force-torque sensors are commonly used to obtain contact feedback,…

Robotics · Computer Science 2025-12-12 Jinxuan Zhu , Zihao Yan , Yangyu Xiao , Jingxiang Guo , Chenrui Tie , Xinyi Cao , Yuhang Zheng , Lin Shao

We study the problem of object retrieval in scenarios where visual sensing is absent, object shapes are unknown beforehand and objects can move freely, like grabbing objects out of a drawer. Successful solutions require localizing free…

Robotics · Computer Science 2023-03-24 Sameer Pai , Tao Chen , Megha Tippur , Edward Adelson , Abhishek Gupta , Pulkit Agrawal

In this paper, we present a modular pressure control system called PneuDrive that can be used for large-scale, pneumatically-actuated soft robots. The design is particularly suited for situations which require distributed pressure control…

Robotics · Computer Science 2025-04-02 Curtis C. Johnson , Daniel G. Cheney , Dallin L. Cordon , Marc D. Killpack

Aerial manipulation requires force-aware capabilities to enable safe and effective grasping and physical interaction. Previous works often rely on heavy, expensive force sensors unsuitable for typical quadrotor platforms, or perform…

Robotics · Computer Science 2026-02-10 Kenghou Hoi , Yuze Wu , Annan Ding , Junjie Wang , Anke Zhao , Chengqian Zhang , Fei Gao

Recent advances in teleoperation have enabled sophisticated manipulation of dexterous robotic hands, with most systems concentrating on guiding finger positions to achieve desired grasp configurations. However, while accurate finger…

Robotics · Computer Science 2026-03-09 Hengxu You , Tianyu Zhou , Fang Xu , Kaleb Smith , Eric Jing Du

Tactile sensing plays a fundamental role in enabling robots to navigate dynamic and unstructured environments, particularly in applications such as delicate object manipulation, surface exploration, and human-robot interaction. In this…

Robotics · Computer Science 2025-09-18 Annan Zhang , Miguel Flores-Acton , Andy Yu , Anshul Gupta , Maggie Yao , Daniela Rus

The development of tactile sensing is expected to enhance robotic systems in handling complex objects like deformables or reflective materials. However, readily available industrial grippers generally lack tactile feedback, which has led…

Robotics · Computer Science 2023-09-13 Remko Proesmans , Francis wyffels

Haptic feedback is essential for human-machine interaction, as it bridges physical and digital experiences and enables immersive engagement with virtual environments. However, current haptic devices are frequently tethered, lack portability…

Human-Computer Interaction · Computer Science 2025-11-26 Ziang Cui , Shanyong Wang , Yining Zhao , Yiran Wang , Xingming Wen , Siyuan Chen , Ze Xiong

Humans process significantly more information through the sense of touch than through vision. Consequently, haptics for telemanipulation is poised to become essential in the coming years, as it offers operators an additional sensory channel…

Robotics · Computer Science 2025-02-25 Julien Mellet , Fabio Ruggiero , Vincenzo Lippiello

Grasping constitutes a critical challenge for visually impaired people. To address this problem, we developed a tactile bracelet that assists in grasping by guiding the user's hand to a target object using vibration commands. Here we…

Human-Computer Interaction · Computer Science 2025-04-24 Marcin Furtak , Florian Pätzold , Tim Kietzmann , Silke M. Kärcher , Peter König

Grasping objects whose physical properties are unknown is still a great challenge in robotics. Most solutions rely entirely on visual data to plan the best grasping strategy. However, to match human abilities and be able to reliably pick…

Robotics · Computer Science 2021-09-24 Pietro Griffa , Carmelo Sferrazza , Raffaello D'Andrea

Recent advancements in soft robots, human-machine interfaces, and wearable electronics have led to an increased demand for high-performance soft tactile sensors. Tomographic tactile sensor based on resistive coupling is a novel contact…

Human-Computer Interaction · Computer Science 2024-06-04 Shunsuke Yoshimoto , Koji Sakamoto , Rina Takeda , Akio Yamamoto
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