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Tactile sensing plays an irreplaceable role in robotic material recognition. It enables robots to distinguish material properties such as their local geometry and textures, especially for materials like textiles. However, most tactile…

Robotics · Computer Science 2023-06-23 Guanqun Cao , Jiaqi Jiang , Danushka Bollegala , Min Li , Shan Luo

This article presents a novel telepresence system for advancing aerial manipulation in dynamic and unstructured environments. The proposed system not only features a haptic device, but also a virtual reality (VR) interface that provides…

This paper presents development of a smart sensor dashboard for Industry 4.0 encompassing both 2D and 3D visualization modules. In 2D module, we described physical connections among sensors and visualization modules and rendering data on 2D…

Human-Computer Interaction · Computer Science 2020-05-12 LRD Murthy , Somnath Arjun , Kamalpreet Singh Saluja , Pradipta Biswas

High-resolution optical tactile sensors are increasingly used in robotic learning environments due to their ability to capture large amounts of data directly relating to agent-environment interaction. However, there is a high barrier of…

Robotics · Computer Science 2022-07-28 Yijiong Lin , John Lloyd , Alex Church , Nathan F. Lepora

Hybrid rigid-soft robots combine the precision of rigid manipulators with the compliance and adaptability of soft arms, offering a promising approach for versatile grasping in unstructured environments. However, coordinating hybrid robots…

In this paper, we present the implementation details of a Virtual Reality (VR)-based teleoperation interface for moving a robotic manipulator. We propose an iterative human-in-the-loop design where the user sets the next task-space waypoint…

Robotics · Computer Science 2022-05-24 Shiyu Xu , Scott Moore , Akansel Cosgun

Hand-tracking enables controller-free XR interaction but does not have the tactile feedback controllers provide. Rather than treating this solely as a missing-sensation problem, we explore whether pseudo-haptic cues on an embodied virtual…

Human-Computer Interaction · Computer Science 2026-03-02 Kristian Paolo David , Tyrone Justin Sta Maria , Mikkel Dominic Gamboa , Jordan Aiko Deja

Deformable object manipulation is a classical and challenging research area in robotics. Compared with rigid object manipulation, this problem is more complex due to the deformation properties including elastic, plastic, and elastoplastic…

Mid-air haptics create a new mode of feedback to allow people to feel tactile sensations in the air. Ultrasonic arrays focus acoustic radiation pressure in space, to induce tactile sensation from the resulting skin deflection. In this work,…

Robotics · Computer Science 2022-07-05 Noor Alakhawand , William Frier , Nathan F. Lepora

Tactile sensing represents a crucial technique that can enhance the performance of robotic manipulators in various tasks. This work presents a novel bioinspired neuromorphic vision-based tactile sensor that uses an event-based camera to…

Robotics · Computer Science 2024-03-18 Omar Faris , Mohammad I. Awad , Murana A. Awad , Yahya Zweiri , Kinda Khalaf

This study addresses the challenge of low dexterity in teleoperation tasks caused by limited sensory feedback and visual occlusion. We propose a novel approach that integrates haptic feedback into teleoperation using the adaptive triggers…

Thermal feedback is critical to a range of Virtual Reality (VR) applications, such as firefighting training or thermal comfort simulation. Previous studies showed that adding congruent thermal feedback positively influences User eXperience…

Human-Computer Interaction · Computer Science 2026-01-09 Sophie Villenave , Pierre Raimbaud , Guillaume Lavoué

Pseudo-haptics exploit carefully crafted visual or auditory cues to trick the brain into "feeling" forces that are never physically applied, offering a low-cost alternative to traditional haptic hardware. Here, we present a comparative…

Human-Computer Interaction · Computer Science 2025-10-13 Nishant Gautam , Somya Sharma , Peter Corcoran , Kaspar Althoefer

To achieve human-level dexterity, robots must infer spatial awareness from multimodal sensing to reason over contact interactions. During in-hand manipulation of novel objects, such spatial awareness involves estimating the object's pose…

Deformable objects manipulation can benefit from representations that seamlessly integrate vision and touch while handling occlusions. In this work, we present a novel approach for, and real-world demonstration of, multimodal visuo-tactile…

Robotics · Computer Science 2022-10-10 Youngsun Wi , Andy Zeng , Pete Florence , Nima Fazeli

Robotic palpation relies on force sensing, but force signals in soft-tissue environments are variable and cannot reliably reveal subtle subsurface features. We present a compact multimodal sensor that integrates high-resolution vision-based…

Augmented reality (AR) offers immersive interaction but remains inaccessible for users with motor impairments or limited dexterity due to reliance on precise input methods. This study proposes a gesture-based interaction system for AR…

Human-Computer Interaction · Computer Science 2025-06-19 Yikan Wang

Most existing locomotion devices that represent the sensation of walking target a user who is actually performing a walking motion. Here, we attempted to represent the walking sensation, especially a kinesthetic sensation and advancing…

Human-Computer Interaction · Computer Science 2023-10-31 Ginga Kato , Yoshihiro Kuroda , Kiyoshi Kiyokawa , Haruo Takemura

Most telemanipulation systems for aerial robots provide the operator with only 2D screen visual information. The lack of richer information about the robot's status and environment can limit human awareness and, in turn, task performance.…

Simulators perform an important role in prototyping, debugging, and benchmarking new advances in robotics and learning for control. Although many physics engines exist, some aspects of the real world are harder than others to simulate. One…

Robotics · Computer Science 2022-02-14 Shaoxiong Wang , Mike Lambeta , Po-Wei Chou , Roberto Calandra