Jito Vanualailai
Papers
43
Total Citations
672
H-Index
17
About
Jito Vanualailai is a prominent robotics and control systems researcher whose work spans autonomous robot navigation, multi-agent systems, and motion planning. His research is anchored in developing Lyapunov-based mathematical frameworks to solve complex motion control problems for nonholonomic and underactuated robotic systems, including carlike robots, mobile manipulators, and multi-robot formations. Vanualailai has made significant contributions to swarm robotics, demonstrating how cohesive, well-coordinated robot collectives can navigate constrained and dynamic environments — work that has collectively garnered hundreds of citations. His 2017 paper on carlike robot navigation in swarm-laden environments (44 citations) and his 2018 research on leader-follower formation control within cooperative intelligent transport systems (42 citations) highlight his relevance to emerging autonomous vehicle technologies. His geometric approach to tractor-trailer robot control (40 citations) further showcases his ability to tackle underactuated systems with elegant, practical solutions. His research on tunnel-passing formations, 3D articulated mobile manipulator control, and UAV swarm cohesion reflects a broad yet deeply integrated research vision. With over a decade of sustained output and citations consistently exceeding 25–44 per paper, Vanualailai has established himself as an authoritative voice in autonomous systems and cooperative robotics, offering rigorous theoretical tools with real-world applicability.
Research Focus
Key Achievements
Top Papers
- 1
- 2Leader-Follower Based Locally Rigid Formation Control42 citations · 2018
- 3
- 4Tunnel passing maneuvers of prescribed formations40 citations · 2012
- 5Flocking of Multi-agents in Constrained Environments35 citations · 2009
- 6
- 7
- 8Formation control of a swarm of mobile manipulators29 citations · 2011
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