Papers

4

Total Citations

67

H-Index

3

About

Gustavo H. C. Oliveira is a leading researcher in mobile robotics, specializing in path planning and model predictive control (MPC) for autonomous navigation. His work bridges the gap between theoretical control systems and practical robotic applications, with a focus on omnidirectional and nonholonomic platforms. Oliveira’s most impactful contribution is the **K-Bug algorithm** (2007, 32 citations), a novel approach to local path planning that enhances the classic Bug family of methods, enabling robots to navigate complex environments using only local sensor data. He further advanced the field by integrating **Linear Matrix Inequalities (LMIs)** into MPC frameworks (2011, 27 citations; 2015, 6 citations), providing stable, real-time trajectory tracking for wheeled robots. His 2003 work on nonlinear predictive control for nonholonomic systems laid foundational insights into constrained motion. Oliveira’s research is distinguished by its emphasis on computational efficiency and real-world deployability, making his algorithms valuable for autonomous vehicles and service robots. With a career spanning over two decades, his contributions continue to influence modern control strategies in mobile robotics.

Research Focus

Key Achievements

3
H-Index
4
Papers
67
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
K-Bug, A New Bug Approach for Mobile Robot's Path Planning
32 citations · 2007
📈 Most Prolific Year: 2007 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Pontifícia Universidade Católica do Paraná, Universidade Federal do Paraná

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago