Da Cai
Papers
2
Total Citations
18
H-Index
2
About
Da Cai is a leading researcher in the field of multi-robot systems, with a primary focus on distributed network control and connectivity maintenance. His groundbreaking work addresses the critical challenge of ensuring robust communication among autonomous robot teams operating in dynamic environments. In his most-cited paper (2017, 16 citations), Cai introduced a novel distributed framework that enables robots to autonomously maintain global network connectivity through gradient-descent-based energy functions, allowing the network topology to adapt online without centralized coordination. This work provides a foundational solution for scalable multi-robot operations in search-and-rescue, exploration, and surveillance. Building on this, Cai further advanced the field by integrating topology control with connectivity-preserving motion control (2016), introducing the concept of "global message connectivity" as a quality-of-service metric. His contributions are essential for enabling reliable, real-time coordination in large-scale robotic swarms, directly impacting the design of resilient autonomous systems.
Research Focus
Key Achievements
Top Papers
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