Rodrigo I. Silveira

Papers

Total Citations

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About

Rodrigo I. Silveira is a leading researcher in algorithmic robotics and computational geometry, with a focus on motion planning, modular robotics, and collision detection. His most cited work introduces a novel meta-module for the efficient reconfiguration of hinged-unit modular robots, including platforms like M-TRAN, SuperBot, and SMORES. By leveraging the rotational degrees of freedom inherent in these units, Silveira’s meta-module enables robust and compact reconfiguration, a critical advancement for adaptive robotic systems. This paper has garnered 5 citations, reflecting its foundational role in modular robotics. In his 2023 study on shortest coordinated motion for square robots, he addresses fundamental problems in multi-robot path planning, contributing to the theoretical underpinnings of coordinated movement. Silveira also tackles practical challenges in industrial automation, developing real-time collision detection algorithms for multiple packaging robots. His 2015 work in this area uses monotonicity of configuration subspaces to enhance throughput and efficiency while minimizing system footprint, earning 2 citations. Silveira’s research bridges theory and application, advancing both the design of reconfigurable robots and the safety of high-speed manufacturing environments.