Antons Rebguns

University of Arizona, University of Wyoming

Papers

Total Citations

H-Index

About

Antons Rebguns is a researcher whose work bridges robotics, swarm intelligence, and autonomous exploration. His key research areas include mobile robot perception, swarm robotics, and information-theoretic control. Rebguns’s most notable contribution is the development of the **InfoMax control framework**, which uses information gain as an intrinsic motivation for lifelong learning agents. In his 2011 paper (19 citations), he demonstrated how reinforcement learning can guide a mobile robot to acoustically explore objects in a partially observable environment, enabling task-agnostic, curiosity-driven behavior. This work has influenced the design of autonomous systems that must adapt without predefined goals. Rebguns also contributed to swarm robotics, proposing a statistical framework to predict the success rate of robot swarms navigating obstacle-filled environments, and introducing the concept of using “scouts” to estimate swarm performance before full deployment. Though his citation counts are modest, his ideas on information-driven control and swarm reliability offer practical tools for researchers working on adaptive robotics and multi-agent systems. Rebguns’s work remains a thoughtful reference for those exploring the intersection of probabilistic reasoning and embodied intelligence.