Manel Velasco

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About

Manel Velasco is a leading researcher in networked control systems and geometric computing, with a focus on advancing robotics and automation. His seminal work on bandwidth management for distributed control of highly articulated robots (2006, 23 citations) introduced an optimal bandwidth allocation policy using networked control systems (NCS), demonstrating how structuring complex robotic systems with NCS can dramatically improve efficiency and coordination. This foundational contribution has influenced the design of distributed control architectures in robotics. More recently, Velasco has pioneered the development of SUGAR (Symbolic and User-friendly Geometric Algebra Routines for Matlab, 2025, 4 citations), a transformative computational framework that leverages Geometric Algebra to replace cumbersome matrix-based approaches with elegant, compact geometric operations. This work promises to simplify complex calculations in robotics and computer graphics, making advanced geometric computing more accessible to engineers and researchers. By bridging theoretical advances with practical tools, Velasco’s research continues to shape how distributed control and geometric algorithms are implemented in real-world robotic systems, offering students and practitioners powerful new methods for tackling high-dimensional control challenges.