Jhielson M. Pimentel
University of Lisbon, Universidade Federal de Minas Gerais, Heriot-Watt University
Papers
7
Total Citations
123
H-Index
6
About
Jhielson M. Pimentel is a pioneering researcher at the intersection of neurorobotics, human-robot interaction, and autonomous exploration. His work is defined by a unique dual focus: developing neurorobotic models of neurological disorders and advancing algorithms for autonomous robot navigation. Pimentel’s most significant contribution is the creation of the first neurorobotics model of Parkinson’s Disease (PD) embedded in a real robot, presented in his paper "Neuro4PD" (10 citations). This groundbreaking work integrates a well-established computational model of PD into a physical humanoid, offering a novel platform for studying motor control deficits. He further advanced this field with "An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry" (11 citations), which models the brain’s motor coordination regions in a robot. In human-robot interaction, his highly cited "Project INSIDE" (45 citations) explores autonomous social interaction for autism therapy, while his "Information-Driven Rapidly-Exploring Random Tree" (37 citations) provides an efficient algorithm for environment exploration. Pimentel’s work, including his review "Neurorobotic Models of Neurological Disorders" (11 citations), bridges computational neuroscience and robotics, offering new tools for understanding and potentially treating motor disorders. His research has garnered over 120 citations, establishing him as a key figure in neurorobotics and socially assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 3An Integrated Neurorobotics Model of the Cerebellar-Basal Ganglia Circuitry11 citations · 2023
- 4Neurorobotic Models of Neurological Disorders: A Mini Review11 citations · 2021
- 5Neuro4PD: An Initial Neurorobotics Model of Parkinson's Disease10 citations · 2021
- 6Theory of Mind and Trust in Human-Robot Navigation6 citations · 2023
- 7Information-Theoretic Frontier Selection for Environment Exploration3 citations · 2016