Dmitry Brosalin
Papers
1
Total Citations
5
H-Index
1
About
Dmitry Brosalin is a researcher in robotics and artificial intelligence, with a primary focus on autonomous navigation and neural-based control systems for mobile robots. His most significant contribution lies in the development of a neural-based navigation system that integrates a collision avoidance D* algorithm with convolutional neural networks, enabling ground-based mobile robots to learn from their own experiences and adapt their behavior in real time. This work, published in 2021, has garnered 5 citations and represents a novel approach to merging traditional path planning with deep learning, allowing robots to autonomously refine their navigation models without human intervention. Brosalin’s research addresses critical challenges in autonomous robotics, particularly in dynamic and unstructured environments where pre-programmed responses are insufficient. By training neural architectures to select optimal paths and avoid obstacles through experiential learning, his work advances the field toward more intelligent, self-improving robotic systems. His contributions are especially relevant for students and researchers interested in the intersection of reinforcement learning, computer vision, and mobile robotics, offering a practical framework for developing adaptive navigation solutions in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1