Daniel de Sousa Rodrigues
São Paulo State Technological College, Universidade Federal do ABC
Papers
2
Total Citations
12
H-Index
2
About
Daniel de Sousa Rodrigues is a researcher at the intersection of robotics and artificial intelligence, focusing on the integration of multi-agent systems (MAS) and multi-robot systems (MRS). His work bridges the gap between computational agents and physical robotic teams, advancing cooperative problem-solving in dynamic environments. His most cited paper, "Toward an interdisciplinary integration between multi-agents systems and multi-robots systems: a case study" (2020, 10 citations), provides a foundational framework for merging these fields, demonstrating how virtual agent coordination can inform real-world robotic collaboration. Rodrigues also explores bio-inspired robotics, notably through "TB-Horse II: Design and Analysis of a Bio-Inspired Robot Horse Based on the Breed Mangalarga Marchador" (2017, 2 citations), where he applies biological locomotion principles to robotic design, inspired by the unique gait of the Brazilian horse breed. This work highlights his commitment to interdisciplinary innovation, merging biology, engineering, and computer science. Though his citation counts are modest, his contributions are significant for researchers seeking to unify computational and physical multi-agent systems, offering a roadmap for future autonomous robotic teams.
Research Focus
Key Achievements
Top Papers
- 1
- 2