V. M. Miranda
Papers
2
Total Citations
14
H-Index
2
About
V. M. Miranda is a robotics researcher whose work focuses on the challenging domain of multi-articulated mobile robots, particularly their control in backward movements. Miranda’s major contributions lie in the development of novel neural network-based predictors and controllers for these complex systems, addressing the singular conditions and critical angles that arise during reverse navigation. Their research introduces static multilayer feedforward networks as full predictors with a fixed time horizon, providing new models and tools for managing the intricate kinematics of prototypes like the Truck-Trailer-Trailer. While their most-cited papers have garnered modest attention—9 and 5 citations respectively—the work is notable for its practical application and original methodology in the configuration space, offering a foundation for advancing autonomous maneuvering in articulated vehicles. Miranda’s achievements include pioneering neural approaches to overcome backward movement instability, a key hurdle in robotics for logistics and transportation. Their research remains a valuable reference for students and engineers exploring neural control in nonholonomic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2