Tadeu Abreu Cerqueira
Papers
1
Total Citations
6
H-Index
1
About
Tadeu Abreu Cerqueira is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance for mobile robots. His most-cited contribution, "A New Approach Based in Potential Fields with Obstacles Avoidance for Mobile Robots" (2016), tackles a fundamental challenge in the Artificial Potential Field (APF) method: the local minima problem, which can trap robots in suboptimal paths. By proposing a novel strategy to overcome this limitation, Cerqueira’s approach enables more reliable and efficient path planning in cluttered environments. Although his citation count (6) reflects a focused, early-stage impact, the work demonstrates a clear and practical contribution to the field of mobile robotics. Cerqueira’s research is particularly relevant for students and engineers developing autonomous systems, as it addresses a persistent issue in real-world navigation. His work exemplifies how targeted improvements to established algorithms can yield meaningful advances in robotic autonomy.
Research Focus
Key Achievements
Top Papers
- 1