Richard Zbeda
Papers
4
Total Citations
35
H-Index
3
About
Richard Zbeda’s research centers on autonomous robotics, self-sufficiency, and bio-inspired control systems, with a particular focus on legged robots and colony intelligence. His major contributions lie in developing control architectures that enable hexapod robots to independently navigate, learn, and manage their own energy—a critical step toward truly autonomous systems. Zbeda pioneered the use of cyclic genetic algorithms to teach robots area coverage behaviors, allowing them to perform tasks while maintaining sufficient power reserves. He also advanced the concept of a robot colony power supply, designing onboard controllers that direct hexapods to recharge at power stations using high-capacitance capacitors and metallic probes. This work on self-sufficient navigation and energy management has been cited over 30 times, reflecting its influence in the field of autonomous robotics. Additionally, Zbeda explored hardware implementations of artificial neural networks, specifically multilayer perceptrons with backpropagation for learning the XOR problem, contributing to progress in intelligent embedded systems. His research bridges machine learning, power management, and swarm robotics, offering practical pathways toward long-duration, unsupervised robot operations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Controlled Use of a Robot Colony Power Supply11 citations · 2006
- 3Learning navigation for recharging a self-sufficient colony robot10 citations · 2007
- 4