Max Robotics — Global Service Robot Directory + US Certification

About

Jonathan Arreguit is a leading researcher at the intersection of computational neuroscience, robotics, and biomechanics, whose work illuminates the principles of animal locomotion and translates them into robotic systems. His primary research areas include neuromechanical modeling, multi-contact motion planning, and physics-based simulation for robotics. Arreguit’s most significant contribution is the development of the FARMS (Framework for Animal and Robot Modeling and Simulation) platform, which provides a unified environment for studying the complex neuromechanical systems underlying movement—a work that has garnered 15 citations since 2023. He has also advanced whole-body motion planning with a novel five-mass model that efficiently encodes internal dynamics for multi-contact scenarios, and pioneered fluid simulation in robotics through smoothed particle hydrodynamics (SPH) frameworks, enabling realistic aquatic robot interactions. Notably, his 2025 study on multisensory feedback in elongate fish demonstrated how sensory circuits enable robust swimming and terrestrial crawling, even after spinal transection, offering profound insights for bio-inspired robotics. With a growing citation record and contributions to open-source tools like Gazebo Fluids, Arreguit’s work bridges biology and engineering, providing foundational models for adaptive, resilient locomotion in robots.