Marcos S. Pereira

Papers

Total Citations

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About

Marcos S. Pereira is a roboticist whose research focuses on task and motion planning for autonomous manipulation, with a particular emphasis on enhancing robot adaptability through task relaxation strategies. His most-cited work, "Manipulation Task Planning and Motion Control Using Task Relaxations" (2022, 4 citations), introduces a novel approach that replaces rigid end-effector pose definitions with flexible regions of interest. This method expands the solution space for robotic planners, enabling more robust and feasible motion execution in complex environments. Pereira’s contributions lie at the intersection of planning and control, where he develops frameworks that allow robots to gracefully handle uncertainty and constraints. While his citation count is still growing, his work represents a promising step toward more dexterous and reliable autonomous systems. His research is particularly relevant for applications in manufacturing, service robotics, and human-robot collaboration, where adaptability is key. Pereira continues to advance the field by exploring how task relaxations can improve both the efficiency and success rate of robotic manipulation tasks.