Dimitar Nedev
Papers
2
Total Citations
5
H-Index
2
About
Dimitar Nedev is a researcher in evolutionary robotics, with a focused interest in on-line and on-board controller adaptation. His work addresses a critical challenge in autonomous systems: how to efficiently evolve robot controllers in real-time, directly on the robot’s hardware, without the luxury of unlimited evaluation time. Nedev’s major contribution lies in developing and evaluating parameter control techniques that dynamically manage the duration of behavioral evaluations during evolution. Specifically, he augmented the (μ+1) ON-LINE algorithm with a scheme for dynamic control of the evaluation time (τ), as detailed in his 2013 paper. This approach, further refined in his 2014 work on controlling maximum evaluation duration, enables robots to adapt their controllers on-the-fly, balancing the need for thorough testing against the constraints of real-world operation. While his most-cited papers have garnered 3 and 2 citations respectively, they represent foundational steps in making evolutionary robotics practical for continuous, autonomous deployment. Nedev’s research is particularly relevant for applications requiring long-term, unsupervised robot operation, where efficient on-board learning is essential.
Research Focus
Key Achievements
Top Papers
- 1
- 2