Papers
5
Total Citations
118
H-Index
5
About
Daniel Rosquete is a leading researcher at the intersection of Industry 4.0, virtual simulation, and robotic rehabilitation. His work primarily focuses on leveraging virtual reality (VR) and augmented reality (AR) to model and optimize complex industrial processes, particularly in high-stakes environments like aircraft final assembly lines. His most cited paper, “Virtual reality simulation of human-robot coexistence for an aircraft final assembly line” (52 citations), demonstrates how VR can evaluate ergonomics and process efficiency before physical deployment, directly addressing the challenge of automating manual tasks in aerospace manufacturing. Rosquete also developed a flexible framework for modeling Industry 4.0 processes in virtual simulators (37 citations), providing a foundational tool for testing new workflows. Beyond manufacturing, his contributions extend to medical robotics, where he applies machine learning for active gravity compensation in neurological rehabilitation systems (15 citations), enhancing robotic therapy for post-stroke patients. He has also contributed to the STEPbySTEP project, benchmarking lower-limb exoskeletons on stair-based testbeds. Through his work on the EU ACCLAIM and SIMFAL projects, Rosquete is shaping the future of human-robot collaboration and assistive technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Flexible Framework to Model Industry 4.0 Processes for Virtual Simulators37 citations · 2019
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- 5Framework for the Simulation of an Aircraft Final Assembly Line6 citations · 2018