Jaime Lloret

About

Jaime Lloret is a leading researcher at the intersection of the Internet of Things (IoT), cognitive robotics, and next-generation communication networks. His work is pivotal in advancing Industry 4.0, where he has pioneered context-aware cloud robotics for material handling within the cognitive industrial IoT—a contribution that has garnered 168 citations and is reshaping automated production processes. Lloret is also at the forefront of intelligent human-computer interaction, applying deep learning to gesture and speech recognition for virtual reality, a highly cited area with 150 references. His research extends to the Tactile Internet, where he explores intelligent computation offloading via fog and edge computing to enable real-time, skill-based applications in remote medicine and industrial machinery. Additionally, Lloret has shaped the discourse on 5G’s role in IoT and augmented reality, authoring influential guest editorials that guide the integration of cyber-physical systems. With a portfolio of work that bridges theory and application, Lloret’s contributions are essential for students and researchers seeking to understand the future of connected, intelligent systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Context-Aware Cloud Robotics for Material Handling in Cognitive Industrial Internet of Things

   168 citations · 2017
2. 2
   Deep Learning for Intelligent Human–Computer Interaction

   150 citations · 2022
3. 3
   Leveraging Intelligent Computation Offloading with Fog/Edge Computing for Tactile Internet: Advantages and Limitations

   27 citations · 2020
4. 4
   Internet of Things and augmented reality in the age of 5G

   23 citations · 2020
5. 5
   Guest Editorial: 5G for Internet of Things

   4 citations · 2021
6. 6
   Guest Editorial: Special Issue on Cloud-Integrated Cyber-Physical Systems

   2 citations · 2016

Key Collaborators

Contact & Links