Roman Neruda

About

Roman Neruda is a researcher whose work sits at the intersection of robotics, machine learning, and artificial intelligence, with a particular focus on autonomous agent behavior and bio-inspired computational methods. His research consistently explores how intelligent behavior can emerge in robotic systems through the application of neural networks and evolutionary algorithms, tackling fundamental challenges in robot navigation, maze exploration, and adaptive control. Among his most notable contributions is the development and comparative analysis of learning frameworks for small mobile robots, including radial basis function (RBF) neural networks trained via evolutionary algorithms and relational reinforcement learning approaches. His studies demonstrate how these methods enable robots to autonomously develop effective navigation strategies, with key papers from 2007 to 2010 accumulating citations that reflect steady engagement from the robotics and AI research community. Neruda has also investigated both individual and group-level behavior evolution, shedding light on how collective intelligence can emerge in multi-robot systems. His practical contributions extend to real-world applications such as robot localization and path planning, bridging theoretical models with deployable solutions. For students and researchers in evolutionary computation and autonomous robotics, Neruda's body of work offers valuable insights into designing adaptive, self-improving robotic agents.

Research Focus

Key Achievements

Top Papers

1. 1
   Comparison of RBF Network Learning and Reinforcement Learning on the Maze Exploration Problem

   7 citations · 2008
2. 2
   Evolution of simple behavior patterns for autonomous robotic agent

   6 citations · 2007
3. 3
   Comparison of behavior-based and planning techniques on the small robot maze exploration problem

   5 citations · 2010
4. 4
   Performance Comparison of Relational Reinforcement Learning and RBF Neural Networks for Small Mobile Robots

   5 citations · 2008
5. 5
   Evolving neural network which control a robotic agent

   3 citations · 2007
6. 6
   Localization With a Low-cost Robot.

   2 citations · 2009
7. 7
   Behaviour patterns evolution on individual and group level

   2 citations · 2007
8. 8
   Real Time Robot Path Planning and Cleaning

   2 citations · 2010
9. 9
   Behavior Emergence in Autonomous Robot Control by Means of Evolutionary Neural Networks

   2 citations · 2008
10. 10
    Evolutionary trained radial basis function networks for robot control

    2 citations · 2008

Key Collaborators

Contact & Links