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This paper presents I-nteract, a cyber-physical system that enables real-time interaction with real and virtual objects in a mixed augmented reality environment to design 3D models for additive manufacturing. The system has been developed…

Human-Computer Interaction · Computer Science 2020-02-18 Ammar Malik , Hugo Lhachemi , Robert Shorten

Augmented Reality (AR) based on Head-Mounted Displays (HMDs) has gained significant traction over the recent years. Nevertheless, it remains unclear what AR HMD-based applications have been developed over the years and what their system…

Multimedia · Computer Science 2023-03-15 Pubudu Wijesooriya , Sheikh Muhammad Farjad , Nikolaos Stergiou , Spyridon Mastorakis

When humans work together to complete a joint task, each person builds an internal model of the situation and how it will evolve. Efficient collaboration is dependent on how these individual models overlap to form a shared mental model…

Robotics · Computer Science 2022-08-26 Wesley P. Chan , Morgan Crouch , Khoa Hoang , Charlie Chen , Nicole Robinson , Elizabeth Croft

This paper investigates the direct application of standardized designs on the robot for conducting robot hand-eye calibration by employing 3D scanners with collaborative robots. The well-established geometric features of the robot flange…

Robotics · Computer Science 2024-07-30 Xudong Han , Ning Guo , Yu Jie , He Wang , Fang Wan , Chaoyang Song

Robotic sensorimotor extensions (supernumerary limbs, prosthesis, handheld tools) are worn devices used to interact with the nearby environment, whether to assist the capabilities of impaired users or to enhance the dexterity of industrial…

Robotics · Computer Science 2022-11-17 Alexis Poignant , Nathanael Jarrasse , Guillaume Morel

Open-sourced, user-friendly tools form the bedrock of scientific advancement across disciplines. The widespread adoption of data-driven learning has led to remarkable progress in multi-fingered dexterity, bimanual manipulation, and…

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

Collocated tactile sensing is a fundamental enabling technology for dexterous manipulation. However, deformable sensors introduce complex dynamics between the robot, grasped object, and environment that must be considered for fine…

Robotics · Computer Science 2022-09-28 Miquel Oller , Mireia Planas , Dmitry Berenson , Nima Fazeli

Since the launch of Google Glass in 2014, smart glasses have mainly been designed to support micro-interactions. The ultimate goal for them to become an augmented reality interface has not yet been attained due to an encumbrance of…

Human-Computer Interaction · Computer Science 2017-08-01 Lik-Hang Lee , Pan Hui

This paper presents a mixed-reality human-robot teaming system. It allows human operators to see in real-time where robots are located, even if they are not in line of sight. The operator can also visualize the map that the robots create of…

Robotics · Computer Science 2023-10-05 Jiaqi Chen , Boyang Sun , Marc Pollefeys , Hermann Blum

The manual design of soft robots and their controllers is notoriously challenging, but it could be augmented---or, in some cases, entirely replaced---by automated design tools. Machine learning algorithms can automatically propose, test,…

Teleoperation offers a promising approach to robotic data collection and human-robot interaction. However, existing teleoperation methods for data collection are still limited by efficiency constraints in time and space, and the pipeline…

Robotics · Computer Science 2025-04-30 Yanwen Zou , Junda Huang , Boyuan Liang , Honghao Guo , Zhengyang Liu , Xin Ma , Jianshu Zhou , Masayoshi Tomizuka

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…

Large-scale real-world robot data collection is a prerequisite for bringing robots into everyday deployment. However, existing pipelines often rely on specialized handheld devices to bridge the embodiment gap, which not only increases…

Robotics · Computer Science 2026-04-10 Yanwen Zou , Chenyang Shi , Wenye Yu , Han Xue , Jun Lv , Ye Pan , Chuan Wen , Cewu Lu

Soft robotic grippers facilitate contact-rich manipulation, including robust grasping of varied objects. Yet the beneficial compliance of a soft gripper also results in significant deformation that can make precision manipulation…

Additive Manufacturing (AM) is a promising solution for handling the complexity of fabricating soft robots. However, the AM of hyperelastic materials is still challenging with a limited material range. Within this work, pellet-based 3D…

Robotics · Computer Science 2025-09-01 Nick Willemstein , Mohammad Ebrahim Imanian , Herman van der Kooij , Ali Sadeghi

Robot teleoperation is critical for applications such as remote maintenance, fleet robotics, search and rescue, and data collection for robot learning. Effective teleoperation requires intuitive 3D visualization with reliable depth cues,…

Robotics · Computer Science 2026-04-07 Enes Ulas Dincer , Manuel Zaremski , Alexandra Nick , Elias Wucher , Barbara Deml , Gerhard Neumann

Applications like disaster management and industrial inspection often require experts to enter contaminated places. To circumvent the need for physical presence, it is desirable to generate a fully immersive individual live teleoperation…

Human-Computer Interaction · Computer Science 2020-02-04 Patrick Stotko , Stefan Krumpen , Max Schwarz , Christian Lenz , Sven Behnke , Reinhard Klein , Michael Weinmann

This paper presents a novel telepresence system for enhancing aerial manipulation capabilities. It involves not only a haptic device, but also a virtual reality that provides a 3D visual feedback to a remotely-located teleoperator in…

For soft robots to work effectively in human-centered environments, they need to be able to estimate their state and external interactions based on (proprioceptive) sensors. Estimating disturbances allows a soft robot to perform desirable…

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