Papers

2

Total Citations

7

H-Index

2

About

Guilherme A. Pimentel is a control systems researcher whose work bridges the gap between theoretical optimization and practical robotics. His primary research areas include multi-agent systems, distributed control, and constrained robotic manipulation—with a particular focus on ensuring stability and safety under real-world limitations like input saturation and collision avoidance. In his most notable contribution, Pimentel proposed a convex optimization-based state-feedback design procedure for robotic manipulators with saturating actuators, elegantly reformulating the control design problem as linear matrix inequalities. This work, published in 2020, provides a computationally tractable solution to a notoriously difficult nonlinear control challenge. More recently, his 2025 paper on distributed model predictive control for multi-agent circular formation—already accumulating 4 citations—demonstrates a practical demonstrator for achieving both formation control and collision avoidance simultaneously. While still early in his career, Pimentel’s work is distinguished by its commitment to implementable solutions: he develops theory that translates directly to hardware, making his contributions valuable for both academic researchers and practicing engineers working on autonomous systems and robotic coordination.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Simple Demonstrator for Multi-agent Circular Formation Control With Collision Avoidance Using Distributed Model Predictive Control
4 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: University of Mons, Pontifícia Universidade Católica do Rio Grande do Sul

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago