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The tactile properties of tissue, such as elasticity and stiffness, often play an important role in surgical oncology when identifying tumors and pathological tissue boundaries. Though extremely valuable, robot-assisted surgery comes at the…

Signal Processing · Electrical Eng. & Systems 2026-04-07 Devi Yuliarti , Ravi Prakash , Hiu Ching Cheung , Amy Strong , Patrick J. Codd , Shan Lin

Recently, the pinching antenna systems (PASS) have attracted significant attention due to their ability to exploit dynamically reconfigurable pinching points along waveguides for flexible signal transmission. However, existing work largely…

Signal Processing · Electrical Eng. & Systems 2026-05-11 Ali Amhaz , Mohamed Elhattab , Chadi Assi , Sanaa Sharafeddine

Haptic feedback is critical in a broad range of human-machine/computer-interaction applications. However, the high cost and low portability/wearability of haptic devices remain unresolved issues, severely limiting the adoption of this…

Human-Computer Interaction · Computer Science 2024-10-28 Panagiotis Kourtesis , Ferran Argelaguet , Sebastian Vizcay , Maud Marchal , Claudio Pacchierotti

Developing kinesthetic haptic devices with advanced haptic rendering capabilities is challenging due to the limitations on driving mechanisms. In this study, we introduce a novel soft electrohydraulic actuator and develop a kinesthetic…

Robotics · Computer Science 2025-10-15 Dannuo Li , Quan Xiong , Xuanyi Zhou , Raye Chen-Hua Yeow

Manipulation of deformable objects is a challenging task for a robot. It will be problematic to use a single sensory input to track the behaviour of such objects: vision can be subjected to occlusions, whereas tactile inputs cannot capture…

Robotics · Computer Science 2023-05-01 Leszek Pecyna , Siyuan Dong , Shan Luo

Magnetic-based tactile sensors (MBTS) combine the advantages of compact design and high-frequency operation but suffer from limited spatial resolution due to their sparse taxel arrays. This paper proposes SuperMag, a tactile shape…

Robotics · Computer Science 2025-07-29 Peiyao Hou , Danning Sun , Meng Wang , Yuzhe Huang , Zeyu Zhang , Hangxin Liu , Wanlin Li , Ziyuan Jiao

Received signal strength based radio tomographic imaging is a popular device-free indoor localization method which reconstructs the spatial loss field of the environment using measurements from a dense wireless network. Existing methods…

Emerging Technologies · Computer Science 2016-04-12 Hüseyin Yiğitler , Riku Jäntti , Ossi Kaltiokallio , Neal Patwari

Capacitive technology allows building sensors that are small, compact and have high sensitivity. For this reason it has been widely adopted in robotics. In a previous work we presented a compliant skin system based on capacitive technology…

Robotics · Computer Science 2021-06-30 Perla Maiolino , Marco Maggiali , Giorgio Cannata , Giorgio Metta , Lorenzo Natale

Hand-held haptic devices can allow for greater freedom of motion and larger workspaces than traditional grounded haptic devices. They can also provide more compelling haptic sensations to the users' fingertips than many wearable haptic…

Robotics · Computer Science 2019-03-11 Julie M. Walker , Nabil Zemiti , Philippe Poignet , Allison M. Okamura

Dynamical instabilities can amplify small perturbations into measurable signals, offering a route to quantum-enhanced sensing. This mechanism was experimentally demonstrated in a collective-spin system with quadratic interactions, described…

Quantum Physics · Physics 2026-04-08 Bidhi Vijaywargia , Jorge Chávez-Carlos , Francisco Pérez-Bernal , Lea F. Santos

For robot manipulation, a complete and accurate object shape is desirable. Here, we present a method that combines visual and haptic reconstruction in a closed-loop pipeline. From an initial viewpoint, the object shape is reconstructed…

Robotics · Computer Science 2024-09-11 Lukas Rustler , Jiri Matas , Matej Hoffmann

Pseudo-haptics techniques are interesting alternatives for generating haptic perceptions, which entails the manipulation of haptic perception through the appropriate alteration of primarily visual feedback in response to body movements.…

Human-Computer Interaction · Computer Science 2023-11-28 Yutaro Hirao , Takuji Narumi , Ferran Argelaguet , Anatole Lecuyer

The focus in this paper is an analysis of existing state of the arts directed toward the development of the next generation of vibration damping systems. The research work concentrates on an investigation related to…

Materials Science · Physics 2007-08-15 M. -V. Kireitseu , G. Tomlinson , J. Lu , H. Altenbach , G. Rongong , L. -V. Bochkareva , D. Hui

In this paper we consider a class of exoskeletons designed to amplify the strength of humans through feedback of sensed human-robot interactions and actuator forces. We define an amplification error signal based on a reference amplification…

Systems and Control · Computer Science 2019-11-20 Binghan He , Gray C. Thomas , Nicholas Paine , Luis Sentis

A long-standing question in robot hand design is how accurate tactile sensing must be. This paper uses simulated tactile signals and the reinforcement learning (RL) framework to study the sensing needs in grasping systems. Our first…

Robotics · Computer Science 2022-03-29 Alexander Koenig , Zixi Liu , Lucas Janson , Robert Howe

Recent studies have developed tunable topological elastic metamaterials to maximize performance in the presence of varying external conditions, adapt to changing operating requirements, and enable new functionalities such as a programmable…

Applied Physics · Physics 2021-01-19 Patrick Dorin , Kon-Well Wang

Earables, such as True Wireless Stereo earphones and VR/AR headsets, are increasingly popular, yet their compact design poses challenges for robust voice-related applications like telecommunication and voice assistant interactions in noisy…

Sound · Computer Science 2025-12-03 Lixing He , Yunqi Guo , Haozheng Hou , Zhenyu Yan

Intuitive control of synthesis processes is an ongoing challenge within the domain of auditory perception and cognition. Previous works on sound modelling combined with psychophysical tests have enabled our team to develop a synthesizer…

Granular jamming is a popular soft robotics technology that has seen recent widespread applications including industrial gripping, surgical robotics and haptics. However, to date the field has not fully exploited the fundamental science of…

Soft Condensed Matter · Physics 2021-09-23 Raghav Mishra , Tyson Philips , Gary W. Delaney , David Howard

Fibre jamming is a relatively new and understudied soft robotic mechanism that has previously found success when used in stiffness-tuneable arms and fingers. However, to date researchers have not fully taken advantage of the freedom offered…

Robotics · Computer Science 2024-10-28 James Brett , Katrina Lo Surdo , Lauren Hanson , Joshua Pinskier , David Howard