Samuel Tovey

Papers

Total Citations

H-Index

About

Samuel Tovey is a rising researcher at the intersection of artificial intelligence, active matter, and micro-robotics. His work focuses on developing intelligent control strategies for microscopic systems, particularly through the lens of reinforcement learning (RL). In his highly cited 2024 paper, "Emergence of chemotactic strategies with multi-agent reinforcement learning," Tovey demonstrates how RL can not only program micro-robots for complex tasks like chemotaxis but also offer new insights into biological intelligence and collective behavior. His 2025 contribution, "SwarmRL: building the future of smart active systems," introduces an open-source Python package that bridges classical control and deep RL for modeling microscopic colloids. This tool enables researchers to deploy intelligent agents in both simulation and real-world environments, making sophisticated control accessible to the broader scientific community. With over 3 citations already for his foundational work, Tovey is establishing himself as a key figure in the emerging field of smart active systems, where artificial intelligence meets the physical world at the smallest scales.