Eder Miguel

Institute of Science and Technology Austria

Papers

Total Citations

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About

Eder Miguel is a leading researcher in computer graphics and robotics, whose work bridges the gap between simulation and physical interaction. His primary research areas include physics-based simulation, soft robotics, and deformable body dynamics. Miguel is best known for his pioneering contributions to the efficient simulation of soft robots, particularly through his highly cited work, "Efficient FEM-Based Simulation of Soft Robots Modeled as Kinematic Chains" (2018, 44 citations). This paper introduced a novel framework that models soft robots as kinematic chains using finite element methods (FEM), enabling real-time, accurate simulation of their complex, compliant behaviors. By moving beyond static, contact-deprived models of manipulation to dynamic, contact-rich soft interactions, Miguel has fundamentally advanced how researchers approach robotic grasping and manipulation. His work has had a significant impact on both the graphics and robotics communities, providing tools that allow for more realistic and computationally feasible simulations. Through his research, Miguel continues to shape the future of soft robotics, making it possible to design and control highly adaptive, safe, and dexterous robotic systems for real-world applications.