J. Camilo Vasquez Tieck
Papers
17
Total Citations
351
H-Index
11
About
J. Camilo Vasquez Tieck is a pioneering researcher at the intersection of neuroscience, robotics, and artificial intelligence, with a particular focus on spiking neural networks (SNNs) and neurorobotics. His work addresses one of robotics' most fundamental challenges: enabling machines to perform sophisticated motor tasks — reaching, grasping, and locomotion — using biologically realistic brain-inspired computational models rather than traditional planning algorithms. Vasquez Tieck's most influential contribution is his role in developing the Neurorobotics Platform (117 citations), a comprehensive simulation framework that bridges biologically realistic brain models with embodied robotic systems. This landmark work established a critical infrastructure for validating computational neuroscience models in rich sensory environments. Building on this foundation, he has pioneered SNN-based approaches to anthropomorphic hand grasping, arm control, and EMG-driven finger reflexes — demonstrating that neuromorphic computation can drive practical robotic behavior. His research also extends to bio-inspired locomotion in hexapod robots and event-based vision through microsaccade-inspired neuromorphic stereo systems. With over 290 cumulative citations across his top works, Vasquez Tieck has established himself as a significant contributor to the emerging field of neurorobotics, offering students and researchers a compelling model for translating neuroscientific principles into functional robotic intelligence.
Research Focus
Key Achievements
Top Papers
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- 4Soft-Grasping With an Anthropomorphic Robotic Hand Using Spiking Neurons23 citations · 2020
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- 6Triggering Robot Hand Reflexes with Human EMG Data Using Spiking Neurons18 citations · 2018
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- 9Microsaccades for Neuromorphic Stereo Vision13 citations · 2018
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