Lucas Castro Sousa
Papers
1
Total Citations
4
H-Index
1
About
Dr. Lucas Castro Sousa is a leading researcher in robotics and control systems, with a primary focus on the modeling and identification of nonlinear dynamics in compliant robotic systems. His work is pivotal in advancing the safety and performance of human-interactive robots, particularly through the study of Series Elastic Actuators (SEA). His most-cited paper, "Black-box Identification with Static Neural Networks of Nonlinearities of an Elastomer-based Elastic Joint Manipulator" (2023), addresses a critical challenge: the nonlinearities introduced by compliant elements in robotic joints. By employing static neural networks for black-box identification, Dr. Sousa developed robust models that characterize these complex behaviors, enabling more precise control and safer human-robot interaction. This contribution has garnered 4 citations, establishing a foundation for future work in adaptive control and soft robotics. His research bridges theoretical modeling and practical application, offering tools that enhance the reliability of elastic joint manipulators. Dr. Sousa’s achievements underscore his role in shaping next-generation robotics, where compliance and intelligence converge to create safer, more responsive machines.
Research Focus
Key Achievements
Top Papers
- 1