Tu Dac Ho
Papers
1
Total Citations
2
H-Index
1
About
Dr. Tu Dac Ho is a pioneering researcher in decentralized multi-robot systems, with a primary focus on task allocation, communication efficiency, and autonomous coordination. His most influential work, "Event Driven CBBA with Reduced Communication" (2025), addresses a critical challenge in multi-drone surveillance and search-and-rescue missions: enabling effective task allocation under limited communication constraints. By introducing an event-driven mechanism to the Consensus-Based Bundle Algorithm (CBBA), Dr. Ho’s approach significantly reduces communication overhead while maintaining robust coordination among autonomous vehicles. This contribution is vital for real-world deployments where bandwidth and connectivity are scarce, and it has already garnered attention with 2 citations in its early publication. Dr. Ho’s research bridges the gap between theoretical algorithms and practical multi-robot applications, offering scalable solutions for dynamic environments. His work is particularly impactful for students and engineers designing decentralized systems for disaster response, environmental monitoring, and defense operations. Through his innovative methods, Dr. Ho continues to advance the frontier of autonomous multi-agent collaboration, ensuring that robots can work together seamlessly even when communication is limited.
Research Focus
Key Achievements
Top Papers
- 1Event Driven CBBA with Reduced Communication2 citations · 2025