Papers
55
Total Citations
1,147
H-Index
16
About
Tiago Nascimento is a prominent robotics and control systems researcher whose work spans autonomous aerial vehicles, mobile robotics, and multi-robot systems. His research has made significant contributions to two interrelated domains: nonlinear model predictive control (NMPC) for trajectory tracking and formation control, and the autonomous operation of unmanned aerial vehicles (UAVs). Nascimento's most influential work, a 2019 survey on position and attitude control of multi-rotor aerial vehicles (191 citations), has become an essential reference for researchers entering the field. Complementing this, his 2018 survey on model predictive control for nonholonomic mobile robots (113 citations) and accompanying practical implementation paper (73 citations) established him as a leading voice in MPC-based autonomous navigation. His pioneering contributions to multi-robot formation control, particularly addressing moving targets and obstacle avoidance, demonstrate a sophisticated understanding of cooperative robotics. More recently, Nascimento has tackled real-world deployment challenges, including landing UAVs on turbulent open waters and developing modular multi-robot drone platforms, bridging theoretical control design with practical implementation. His work on robotic mobile fulfillment systems (106 citations) further illustrates his versatility across both industrial and field robotics. With nearly 600 citations across his top papers, Nascimento's research continues to shape the future of autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Position and attitude control of multi-rotor aerial vehicles: A survey191 citations · 2019
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- 9Landing a UAV in Harsh Winds and Turbulent Open Waters36 citations · 2022
- 10Formation control driven by cooperative object tracking35 citations · 2014