Marck P. Vicmudo
Papers
2
Total Citations
23
H-Index
2
About
Marck P. Vicmudo is a researcher focused on the frontier of autonomous underwater robotics, specifically addressing the dual challenges of path planning and network connectivity in swarm systems. His work is foundational for enabling complex missions like environmental monitoring and search-and-rescue operations. His most influential paper, "Path planning of underwater swarm robots using genetic algorithm" (2014), has garnered 17 citations for pioneering a bio-inspired approach to navigate multiple obstacles, a critical step in moving swarms from theory to practical deployment. Building on this, his 2015 paper, "Artificial neural network controller for maintaining underwater swarm robots' wireless connections" (6 citations), tackles the equally vital issue of maintaining robust communication links between distributed sensor nodes. By integrating neural network control to preserve network integrity, Vicmudo directly addresses the fragility of underwater wireless networks. His combined work on algorithmic navigation and intelligent connectivity control represents a significant contribution to the reliability and autonomy of underwater swarms, laying essential groundwork for future multi-robot systems operating in challenging subsea environments.
Research Focus
Key Achievements
Top Papers
- 1Path planning of underwater swarm robots using genetic algorithm17 citations · 2014
- 2