Papers
4
Total Citations
122
H-Index
4
About
Cong Liu is a robotics and autonomous systems researcher whose work spans energy management in robotic sensor networks, multi-robot coordination, mechanical modeling, and autonomous path planning. His most influential contribution, "Mobile-to-Mobile Energy Replenishment in Mission-Critical Robotic Sensor Networks" (2014, 78 citations), introduced a novel tree-based charging schedule that elegantly balances charging latency against charger travel distance — a breakthrough that addressed a critical bottleneck in sustaining long-duration robotic missions. Building on his systems-level thinking, Liu has also tackled the security and coordination challenges inherent in multi-robot formations, proposing dynamic topology inference methods that work without requiring prior knowledge of network structure (2019, 19 citations). His engineering breadth is further demonstrated through rigorous kinematic modeling of drilling robot arms using the Denavit–Hartenberg method, bringing precision to heavy industrial robotics (2018, 17 citations). More recently, Liu has explored chaotic systems for complete coverage path planning, developing parameter selection strategies for the Lü system to optimize autonomous area coverage (2023). Together, his body of work reflects a researcher dedicated to making robotic systems smarter, more efficient, and more resilient across both field and industrial environments.
Research Focus
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