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The COVID-19 pandemic has underscored the importance of blended learning in contemporary physics and, more generally, STEM education. In this contribution, we summarize current pedagogical models of blended learning, such as rotational and…

Physics Education · Physics 2024-03-21 Jozef Hanč , Dominik Borovský , Martina Hančová

Traditional sign language teaching methods face challenges such as limited feedback and diverse learning scenarios. Although 2D resources lack real-time feedback, classroom teaching is constrained by a scarcity of teacher. Methods based on…

Computer Vision and Pattern Recognition · Computer Science 2024-05-07 Hongli Wen , Yang Xu , Lin Li , Xudong Ru , Xingce Wang , Zhongke Wu

The COVID19 pandemic has demonstrated a need for remote learning and virtual learning applications such as virtual reality (VR) and tablet-based solutions. Creating complex learning scenarios by developers is highly time-consuming and can…

Human-Computer Interaction · Computer Science 2022-07-22 Claire Palmer , Ben Roullier , Muhammad Aamir , Frank McQuade , Leonardo Stella , Ashiq Anjum

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 proposes a real-time physically-based method for simulating vehicle deformation. Our system synthesizes vehicle deformation characteristics by considering a low-dimensional coupled vehicle body technique. We simulate the motion…

Robotics · Computer Science 2023-04-12 Ben Kenwright

Environmental citizen science frequently relies on experience-based assessment, however volunteers are not trained to make qualitative judgments. Embodied learning in virtual reality (VR) has been explored as a way to train behavior, but…

Human-Computer Interaction · Computer Science 2018-04-25 Alina Striner , Jennifer Preece

Generative models trained on internet data have revolutionized how text, image, and video content can be created. Perhaps the next milestone for generative models is to simulate realistic experience in response to actions taken by humans,…

Artificial Intelligence · Computer Science 2024-09-27 Sherry Yang , Yilun Du , Kamyar Ghasemipour , Jonathan Tompson , Leslie Kaelbling , Dale Schuurmans , Pieter Abbeel

Neural reconstruction models for autonomous driving simulation have made significant strides in recent years, with dynamic models becoming increasingly prevalent. However, these models are typically limited to handling in-domain objects…

Autonomous vehicles with a self-evolving ability are expected to cope with unknown scenarios in the real-world environment. Take advantage of trial and error mechanism, reinforcement learning is able to self evolve by learning the optimal…

Robotics · Computer Science 2024-08-23 Shuo Yang , Liwen Wang , Yanjun Huang , Hong Chen

Computing systems are omnipresent; their sustainability has become crucial for our society. A key aspect of this sustainability is the ability of computing systems to cope with the continuous change they face, ranging from dynamic operating…

Software Engineering · Computer Science 2022-04-15 Danny Weyns , Thomas Baeck , Rene Vidal , Xin Yao , Ahmed Nabil Belbachir

Training students in basic concepts of physics, such as the ones related to mass, volume, or density, is much more complicated than just stating the underlying definitions and laws. One of the reasons for this is that most students have…

Graphics · Computer Science 2024-01-31 Iuliia Zhurakovskaia , Jeanne Vézien , Cécile de Hosson , Patrick Bourdot

Research involving virtual reality (VR) has dramatically increased since the introduction of consumer VR systems. In turn, research on VR games has gained popularity within several fields. However, most VR games are closed source, which…

Human-Computer Interaction · Computer Science 2024-10-22 Ryan P. McMahan , Nayan N. Chawla , Christian S. Cassell , Christopher Peerapon Lee

Federated learning in vehicular edge networks faces major challenges in efficient resource allocation, largely due to high vehicle mobility and the presence of imperfect channel state information. Many existing methods oversimplify these…

Signal Processing · Electrical Eng. & Systems 2026-02-04 Metehan Karatas , Subhrakanti Dey , Christian Rohner , Jose Mairton Barros da Silva

The last decade witnessed increasingly rapid progress in self-driving vehicle technology, mainly backed up by advances in the area of deep learning and artificial intelligence. The objective of this paper is to survey the current…

Machine Learning · Computer Science 2020-03-26 Sorin Grigorescu , Bogdan Trasnea , Tiberiu Cocias , Gigel Macesanu

Collision avoidance systems can play a vital role in reducing the number of accidents and saving human lives. In this paper, we introduce and validate a novel method for vehicles reactive collision avoidance using evolutionary neural…

Neural and Evolutionary Computing · Computer Science 2016-09-28 Hesham Eraqi , Youssef EmadEldin , Mohamed Moustafa

A key challenge in manipulation is learning a policy that can robustly generalize to diverse visual environments. A promising mechanism for learning robust policies is to leverage video generative models, which are pretrained on large-scale…

This paper presents a dynamic gamification architecture for an Extended Reality Artificial Intelligence virtual training environment designed to enhance STEM education through immersive adaptive, and kinesthetic learning. The proposed…

Human-Computer Interaction · Computer Science 2026-03-30 Shadeeb Hossain , Natalie Sommer , Neda Adib

The use of Virtual Reality (VR) technologies has been extensively researched in surgical and anatomical education. VR provides a lifelike and interactive environment where healthcare providers can practice and refresh their skills in a safe…

Human-Computer Interaction · Computer Science 2024-06-26 Mustafa Yalin Aydin , Vernon Curran , Susan White , Lourdes Pena-Castillo , Oscar Meruvia-Pastor

Sustainability is becoming increasingly critical in the maritime transport, encompassing both environmental and social impacts, such as Greenhouse Gas (GHG) emissions and navigational safety. Traditional vessel navigation heavily relies on…

Machine Learning · Computer Science 2026-01-19 Zhang Xiaocai , Xiao Zhe , Liang Maohan , Liu Tao , Li Haijiang , Zhang Wenbin

Due to changes in model dynamics or unexpected disturbances, an autonomous robotic system may experience unforeseen challenges during real-world operations which may affect its safety and intended behavior: in particular actuator and system…

Robotics · Computer Science 2023-05-31 Esen Yel , Nicola Bezzo
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