Carlos Silva

𝐄𝐦𝐛𝐞𝐝𝐝𝐞𝐝 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 & 𝐍𝐚𝐯𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐚𝐜𝐤 • Development of navigation algorithms and software for industrial AMRs: • Sensor fusion and state estimation • Localization algorithms • Path tracking and motion control • PID tuning and control performance optimization 𝐇𝐢𝐠𝐡-𝐋𝐞𝐯𝐞𝐥 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐲 & 𝐌𝐢𝐬𝐬𝐢𝐨𝐧 𝐂𝐨𝐧𝐭𝐫𝐨𝐥: • Development of mission management, supervisory control and behavior orchestration software • Implementation of event and state-driven decision-making logic for autonomous task execution • Coordination and integration of robotic subsystems and peripheral devices within mission execution workflows • 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 & 𝐏𝐋𝐂 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐀𝐌𝐑𝐬 • Development of PLC/HMI software as part of the AMR control architecture • Design and implementation of the communication interface between PLC and the navigation stack • Definition and implementation of robust inter-system communication protocols, including command/state exchange and synchronization mechanisms • 𝐃𝐞𝐩𝐥𝐨𝐲𝐦𝐞𝐧𝐭 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 • On-site system deployment and commissioning • Cross-system integration and validation in industrial environments • Technical support and troubleshooting

• Part of the Embedded Systems Laboratory team • Development of sensory fusion algorithms for human detection • Development of algorithms for socially compliant mobile robot navigation in highly dynamic environments

Master's Thesis - Robot Navigation in Highly Dynamic Environments