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About

Stefan J. Johansson is a leading researcher in multi-agent systems and autonomous robotics, with a particular focus on applying potential field techniques to real-time strategy (RTS) games and competitive robotics. His most influential work, "Using multi-agent potential fields in real-time strategy games" (2008, 58 citations), pioneered the use of potential fields—a technique originally from robotics—to coordinate multiple units in complex, partially unknown environments. This approach enabled bots to simultaneously navigate, avoid obstacles, search for enemies, and coordinate attacks, addressing a fundamental challenge in game AI. Johansson extended this work through several related papers (2008, 29 and 28 citations), collectively establishing potential fields as a viable and elegant solution for RTS bot control. Earlier, his "Using the Electric Field Approach in the RoboCup Domain" (2002, 32 citations) demonstrated the transfer of these concepts to physical robot soccer, contributing to the RoboCup initiative. He also explored coordination frameworks in multi-agent systems (2002, 6 citations) and human-robot cooperation through the PsyIntEC project (2013). As a member of Team Chaos (formerly Team Sweden), he competed in the RoboCup 4-legged league from 1999, showcasing his work in real-world autonomous systems. With over 160 total citations, Johansson’s research bridges theoretical multi-agent coordination and practical, real-time applications in gaming and robotics.