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This paper proposes an interactive system for mobile devices controlled by hand gestures aimed at helping people with visual impairments. This system allows the user to interact with the device by making simple static and dynamic hand…

Computer Vision and Pattern Recognition · Computer Science 2022-07-27 Samer Alashhab , Antonio Javier Gallego , Miguel Ángel Lozano

Limb loss affects millions globally, impairing physical function and reducing quality of life. Most traditional surface electromyographic (sEMG) and semi-autonomous methods require users to generate myoelectric signals for each control,…

Robotics · Computer Science 2025-06-11 Kaijie Shi , Wanglong Lu , Hanli Zhao , Vinicius Prado da Fonseca , Ting Zou , Xianta Jiang

Robotic Grasping has always been an active topic in robotics since grasping is one of the fundamental but most challenging skills of robots. It demands the coordination of robotic perception, planning, and control for robustness and…

Robotics · Computer Science 2022-02-09 Hanbo Zhang , Jian Tang , Shiguang Sun , Xuguang Lan

Grasping is a fundamental skill for interacting with and manipulating objects in the environment. However, this ability can be challenging for individuals with hand impairments. Soft hand exoskeletons designed to assist grasping can enhance…

Robotics · Computer Science 2025-04-07 Chen Hu , Enrica Tricomi , Eojin Rho , Daekyum Kim , Lorenzo Masia , Shan Luo , Letizia Gionfrida

Adaptive control for real-time manipulation requires quick estimation and prediction of object properties. While robot learning in this area primarily focuses on using vision, many tasks cannot rely on vision due to object occlusion. Here,…

Robotics · Computer Science 2021-10-12 Ahalya Prabhakar , Stanislas Furrer , Lorenzo Panchetti , Maxence Perret , Aude Billard

This work presents a framework for a robot with a multi-fingered hand to freely utilize daily tools, including functional parts like buttons and triggers. An approach heatmap is generated by selecting a functional finger, indicating optimal…

Robotics · Computer Science 2025-04-08 Malek Aburub , Kazuki Higashi , Weiwei Wan , Kensuke Harada

This paper presents a shear-based control scheme for grasping and manipulating delicate objects with a Pisa/IIT anthropomorphic SoftHand equipped with soft biomimetic tactile sensors on all five fingertips. These `microTac' tactile sensors…

Compared to rigid hands, underactuated compliant hands offer greater adaptability to object shapes, provide stable grasps, and are often more cost-effective. However, they introduce uncertainties in hand-object interactions due to their…

Robotics · Computer Science 2025-03-04 Osher Azulay , Dhruv Metha Ramesh , Nimrod Curtis , Avishai Sintov

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…

Assistive devices for indivuals with upper-limb movement often lack controllability and intuitiveness, in particular for grasping function. In this work, we introduce a novel user interface for grasping movement control in which the user…

Quantitative Methods · Quantitative Biology 2023-06-28 Etienne Moullet , François Bailly , Justin Carpentier , Christine Azevedo Coste

Tactile sensing plays a crucial role in robot grasping and manipulation by providing essential contact information between the robot and the environment. In this paper, we present AllTact Fin Ray, a novel compliant gripper design with…

Robotics · Computer Science 2025-04-28 Siwei Liang , Yixuan Guan , Jing Xu , Hongyu Qian , Xiangjun Zhang , Dan Wu , Wenbo Ding , Rui Chen

Artificial intelligence is essential to succeed in challenging activities that involve dynamic environments, such as object manipulation tasks in indoor scenes. Most of the state-of-the-art literature explores robotic grasping methods by…

Robotics · Computer Science 2019-05-28 Paola Ardón , Èric Pairet , Ron Petrick , Subramanian Ramamoorthy , Katrin Lohan

In this work, we propose a gesture based language to allow humans to interact with robots using their body in a natural way. We have created a new gesture detection model using neural networks and a custom dataset of humans performing a set…

Robotics · Computer Science 2022-06-16 Javier Laplaza , Joan Jaume Oliver , Ramón Romero , Alberto Sanfeliu , Anaís Garrell

Contact force is a natural way for humans to interact with the physical world around us. However, most of our interactions with the digital world are largely based on a simple binary sense of touch (contact or no contact). Similarly, when…

Signal Processing · Electrical Eng. & Systems 2021-06-17 Agrim Gupta , Cedric Girerd , Manideep Dunna , Qiming Zhang , Raghav Subbaraman , Tania Morimoto , Dinesh Bharadia

Can a robot grasp an unknown object without seeing it? In this paper, we present a tactile-sensing based approach to this challenging problem of grasping novel objects without prior knowledge of their location or physical properties. Our…

Robotics · Computer Science 2018-05-14 Adithyavairavan Murali , Yin Li , Dhiraj Gandhi , Abhinav Gupta

We present ArtiGrasp, a novel method to synthesize bi-manual hand-object interactions that include grasping and articulation. This task is challenging due to the diversity of the global wrist motions and the precise finger control that are…

Robotics · Computer Science 2024-03-05 Hui Zhang , Sammy Christen , Zicong Fan , Luocheng Zheng , Jemin Hwangbo , Jie Song , Otmar Hilliges

Hands are a fundamental tool humans use to interact with the environment and objects. Through hand motions, we can obtain information about the shape and materials of the surfaces we touch, modify our surroundings by interacting with…

Human-Computer Interaction · Computer Science 2024-05-27 Valerio Belcamino , Alessandro Carfì , Fulvio Mastrogiovanni

Tactile sensing in biological organisms is deeply intertwined with morphological form, such as human fingers, cat paws, and elephant trunks, which enables rich and adaptive interactions through a variety of geometrically complex structures.…

The human somatosensory system integrates multimodal sensory feedback, including tactile, proprioceptive, and thermal signals, to enable comprehensive perception and effective interaction with the environment. Inspired by the biological…

Robotics · Computer Science 2025-09-03 Fengyi Wang , Xiangyu Fu , Nitish Thakor , Gordon Cheng

Grasping an object is a matter of first moving a prehensile organ at some position in the world, and then managing the contact relationship between the prehensile organ and the object. Once the contact relationship has been established and…

Robotics · Computer Science 2016-05-02 Jean-Paul Laumond
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