Manuel Toscano-Moreno
Papers
4
Total Citations
49
H-Index
3
About
Manuel Toscano-Moreno is a robotics researcher whose work lies at the intersection of cloud robotics, cooperative multi-agent systems, and mission-critical autonomy. His primary research focuses on developing architectures that enable seamless collaboration between robots, humans, and hybrid sensor networks in extreme environments—including disaster response, mining, demolition, and nuclear sites. His most influential paper, "The Internet of Cooperative Agents Architecture (X-IoCA) for Robots, Hybrid Sensor Networks, and MEC Centers in Complex Environments" (2021, 27 citations), proposes a framework that leverages cloud robotics and advanced communications to share data and computational resources in real time, enabling more resilient and adaptive robotic teams. Toscano-Moreno has also contributed to human-robot cooperation through his work integrating ROS and Android for casualty evacuation exercises (2022, 13 citations), and has advanced path planning for ground vehicles on uneven terrain using linear temporal logic (2024). His research is notable for bridging theoretical planning formalisms with practical, deployable systems—addressing real-world constraints like asymmetric slope traversability and limited mobile network connectivity. With growing citation impact and a focus on life-saving applications, Toscano-Moreno is establishing himself as a key voice in the future of cooperative robotics for hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4