A5102845373- Augmented Reality Applications
- Robotics and Automated Systems
- Robotics and Sensor-Based Localization
- Virtual Reality Applications and Impacts
- Physical Unclonable Functions (PUFs) and Hardware Security
- Computer Graphics and Visualization Techniques
- Teleoperation and Haptic Systems
- Robot Manipulation and Learning
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Digital Transformation in Industry
- IoT and Edge/Fog Computing
- Robotic Path Planning Algorithms
- Cooperative Communication and Network Coding
Budapest University of Technology and Economics
2023-2025
Abstract Augmented Reality (AR) applications can reshape our society enabling novel ways of interactions and immersive experiences in many fields. However, multi-user collaborative AR pose several challenges. The expected user experience requires accurate position orientation information for each device precise synchronization the respective coordinate systems real-time. Unlike mobile phones or glasses running on battery with constrained resource capacity, cloud edge platforms provide...
Augmented Reality (AR) applications can reshape our society enabling novel ways of interactions and immersive experiences in many fields. However, multi-user collaborative AR pose several challenges. The expected user experience requires accurate position orientation information for each device precise synchronization the respective coordinate systems real-time. Unlike mobile phones or glasses running on battery with constrained resource capacity, cloud edge platforms provide computing power...
Safe and efficient Human-Robot Collaboration (HRC) is an essential feature of future Industry 4.0 production systems which requires sophisticated collision avoidance mechanisms with intense computation need. Digital twins provide a novel way to test the impact different control decisions in simulated virtual environment even parallel. In addition, Virtual/Augmented Reality (VR/AR) applications can revolutionize industry environments. Each component extreme computational power be provided by...
Multi-user and collaborative AR applications pose several chal-lenges. The expected user experience requires accurate infor-mation for each device precise synchronization of the respective coordinate systems in real-time. Unlike mobile phones or glasses running on battery with constrained resource capacity, cloud edge platforms can provide computing power core functions under hood. In this paper, we propose a novel based platform multi-user realizing an essential coordination service among...
The flexibility of future production systems envisioned by Industry 4.0 requires safe but efficient Human-Robot Collaboration (HRC). An important enabler HRC is a sophisticated collision avoidance mechanism which can detect objects and potential events as response, it calculates detour trajectories avoiding physical contacts. Digital twins provide novel way to test the impact different control decisions in simulated virtual environment even parallel. required computational power be provided...
Collaborative multi-user Augmented Reality (AR) applications pose serious challenges to the underlying network infrastructure due their all-to-all communication pattern. The Named Data Networking (NDN) paradigm can be a crucial enabler of these operated in extremely large scale terms users, amount content, and size. inherent multicast support together with carefully designed naming scheme provide efficient operation, while inflated Forwarding Information Base (FIB) tables typical NDN routers...
Extended Reality (XR) applications, especially the revolutionary Mixed technology, with a new level of immersive experiences and novel ways interactions can reshape our society. However, required quality user experience desired high visual fidelity pose several challenges. In this demo, we present edge/cloud-based XR platform providing essential features for future applications. During course highlight advantages split rendering challenges occlusion support in dynamic environments. We...