Donato Clun
Papers
1
Total Citations
3
H-Index
1
About
Donato Clun is a researcher whose work lies at the intersection of robotics, software engineering, and adaptive systems. His primary focus is on enabling long-running, mission-critical robotic systems to evolve without interruption—a challenge central to modern manufacturing, transportation, and autonomous operations. Clun’s most cited paper, “Towards Executing Dynamically Updating Finite-State Controllers on a Robot System” (2015), tackles the fundamental problem of run-time software updates. Rather than halting a robot for maintenance, his approach allows finite-state controllers to be modified while the system remains active, ensuring continuous service in dynamic environments. Though his citation count is modest, the work is notable for its practical, implementation-focused contribution to self-adaptive robotics. Clun’s research bridges the gap between theoretical dynamic update models and real-world robotic execution, offering a pathway to more resilient, long-lived autonomous systems. His contributions are particularly relevant as industries increasingly demand robots that can adapt to changing requirements without downtime.
Research Focus
Key Achievements
Top Papers
- 1