Murillo Rehder Batista
Universidade de São Paulo, Centro de Tecnologia da Informação Renato Archer
Papers
10
Total Citations
48
H-Index
5
About
Murillo Rehder Batista is a robotics researcher whose work sits at the intersection of human-robot interaction (HRI), multi-robot coordination, and socially-aware navigation. His research explores how robots can perceive, approach, and interact with humans in ways that are both functional and socially acceptable. Batista’s most cited paper, “Tablets and humanoid robots as engaging platforms for teaching languages” (12 citations), investigates how social robots can enhance educational experiences by leveraging their novelty to capture attention. He has made significant contributions to socially acceptable navigation, including work on multi-robot teams that respect human proxemics rules, and on estimating human body orientation using skeleton data and extreme gradient boosting—a key capability for robots planning social paths. His ROSANA system (Robot for Social Interaction in Unstructured Dynamic Environments) demonstrates a high-perception mobile robot designed for real-world social interaction. Batista has also addressed fundamental challenges like area coverage, escorting, and photogrammetry with multi-robot systems. With a career spanning foundational HRI topics and practical implementations, his work—cited over 45 times—continues to shape how robots move and behave in human spaces, from classrooms to collaborative industrial settings.
Research Focus
Key Achievements
Top Papers
- 1Tablets and humanoid robots as engaging platforms for teaching languages12 citations · 2017
- 2Socially Acceptable Navigation of People with Multi-robot Teams10 citations · 2019
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- 9Defining a Navigation Goal for Social Robots to Approach People1 citations · 2023
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