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• Testing highly detailed 1:1 digital model of real building in immersive virtual reality.
• No difference in evacuation strategies in real world and immersive virtual reality.
• Environment dependent differences in locomotion trajectory ...

The study evaluated the degree of comparability of various aspects of human wayfinding behaviour exhibited during an evacuation scenario conducted in two environments, one real and the other virtual. While differences were expected in the ...

This paper proposes a framework for deploying Tiny Machine Learning (TinyML) on autonomous drones to enhance precision agriculture, focusing on low-power, real-time plant disease detection and efficient path planning in resource- constrained ...

Neural Radiance Field (NeRF) has emerged as a powerful paradigm for scene representation, offering high-fidelity renderings and reconstructions from a set of sparse and unstructured sensor data. In the context of autonomous robotics, where ...

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• Survey the existing NeRF applications in autonomous robotic tasks.
• Benchmark the performance of NeRF-based methods in autonomous robotic tasks.
• Discuss the challenges of applying NeRF in various aspects of autonomous robots.
• ...

• A new odometry confidence characterization method for benthic wheeled robots.
• A distributed localization navigation algorithm for slip-steering amphibious benthic robots.
• Field coastal experiments were carried out to verify the ...

The advancement and safeguarding of the water-land interface region is of paramount importance, and amphibious robots with the capacity for autonomous operation can play a pivotal role in this domain. However, the inability of the majority of ...

This study focuses on applying the algorithm of Dueling Double Deep Q Networks to create a robust and adaptable navigation system for autonomous robots. The main objective of the study is to propose a network model that is capable of making a ...

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• Enables a mobile robot to navigate to specified targets in unknown environments.
• Has a complex reward function for time reduction and orientation adjustment.
• Includes dynamic and static obstacles with real-world data to increase ...

Multi-Agent navigation task remains a fundamental challenge in robotics and autopilots. Reinforcement learning approaches to navigation often struggle to address the value overestimation in dynamic environments, multi-agent interactions, and ...

Improving the efficiency of Augmented Reality (AR) task guidance is actively explored in education and industry. Current AR techniques often let users to follow a fixed task sequence, limiting flexibility. This research explores the benefits and ...

Virtual reality (VR) environments have greatly expanded opportunities for immersive exploration, yet physically navigating these digital spaces remains a significant challenge. In this paper, we present the conceptual framework of NAVIS (Navigating ...

Spatial disorientation is an early symptom of Alzheimer’s Disease (AD), commonly diagnosed through paper-based tests like MoCA. There is a growing need for accessible technological solutions for early-stage AD diagnosis. Few studies have compared spatial ...

Simulating crowd motion in emergency scenarios remains a challenge in computer graphics due to crowd heterogeneity and environmental complexity. However, existing crowd simulation methods homogenize the agent model and simplify target selection ...

Accurate and robust localization is a critical component in intelligent vehicles, playing a significant role in route planning and efficient navigation. There is a rising trend towards affordable positioning solutions that use common vehicular ...

In the field of mobility, the focus in the past few years has been on the proverbial last mile connectivity. However this paper, narrows the scope from "miles" to the "last 100 yards" presenting a unique sets of issues that are not seen at other levels. ...

Designing a globally ubiquitous positioning system that works seamlessly in all environments remains a critical area of ongoing research. While Global Navigation Satellite Systems (GNSS), such as GPS, are the predominant technology for global outdoor ...

Travel is an integral aspect of our lives, and this rings true for blind and visually impaired individuals alike. This activity can be enhanced with technology to facilitate a safer and more efficient experience, however with the abundance of options ...

We propose a redesign of the Google Chrome Explore app aimed to enhance user engagement through improved user experience. Within a Chromebook, the Explore app acts as a “compass” and helps users navigate through the device's unique features. The app is ...

With an objective to become self-reliant with the use of Satellite based Navigation, India has undertaken the initiative for the development of its own constellation of Navigation Satellites named as Navigation with Indian Constellation (NavIC). ...

The 2D and 3D mathematical and computer models of the kinematics of a modular wheeled robot when it moves inside the pipe for inspection of the inner surface are presented in this paper. In the 2D model the transition of the leading module from a ...

In this work, we study the problem where a group of mobile agents needs to reach a set of goal locations, but it does not matter which agent reaches a specific goal. Unlike most of the existing works on this topic that typically assume the ...

We compare the performance of rule-based image processing algorithms for autonomous navigation with that of a Convolutional Neural Network approach based on an Nvidia CNN architecture. We detail our implementation of Hough-Transform-based and ...

Today, exposure to journalistic online content is predominantly controlled by news recommender systems, which often suggest content that matches user’s interests or is selected according to non-transparent recommendation criteria. To circumvent ...