Roland Lang

University of Technology Sydney, TU Wien, Bombardier (Germany)

Papers

Total Citations

H-Index

About

Roland Lang’s research centers on cognitive architectures and decision-making frameworks for autonomous mobile robots, with a particular emphasis on bridging artificial intelligence and human-inspired psychological models. His most cited work, “Action planning model for autonomous mobile robots” (2007, 9 citations), addresses the core challenge of enabling robots to interpret novel environments and execute flexible, fast action planning for mission completion. Lang further advanced the field by integrating internal performance measures into autonomous decision-making processes (2010, 7 citations), a methodology with direct applications to reinforcement learning. A standout contribution is his application of meta-psychology—drawing from the theoretical foundations of psychoanalysis—as an archetype for robot decision-making, demonstrated on the NAO bipedal robot (2011, 6 citations). This novel approach, alongside his multi-sensory, symbolic, knowledge-based model for humanlike perception (2007, 4 citations), showcases his commitment to creating agents that not only sense and interact but also reason with a degree of cognitive depth. Lang’s work, though modest in citation volume, offers a distinctive interdisciplinary bridge between robotics, cognitive science, and psychoanalytic theory, providing a unique lens for developing more adaptive, humanlike autonomous systems.