Papers
2
Total Citations
15
H-Index
2
About
Jayr Pereira is a researcher at the intersection of assistive robotics and artificial intelligence, with a primary focus on developing robotic systems for cognitive rehabilitation and autonomous task planning. His most impactful work, "Using Assistive Robotics for Aphasia Rehabilitation" (2019, 11 citations), pioneered the use of humanoid robots as mediators in memory games to aid language recovery in stroke survivors—a novel approach addressing the often-overlooked cognitive sequelae of aphasia. This contribution stands out for bridging motor rehabilitation robotics with speech-language pathology, offering a compassionate, technology-driven solution for patients with communication disorders. More recently, Pereira has advanced the field of robotic autonomy with "Robotic Action Planning Using Large Language Models" (2024, 4 citations), where he implemented a Reasoning and Acting (ReAct) framework that integrates large language models into robotic task planning and execution. This work demonstrates how AI can enable robots to interpret natural language commands and dynamically plan actions, pushing the boundaries of human-robot collaboration. Pereira’s research is characterized by its dual impact: improving quality of life through assistive technologies while advancing the theoretical foundations of AI-driven robotics. His work is particularly relevant for students and researchers interested in socially assistive robotics, human-robot interaction, and the practical deployment of LLMs in real-world robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Using Assistive Robotics for Aphasia Rehabilitation11 citations · 2019
- 2Robotic Action Planning Using Large Language Models4 citations · 2024