Patrick Hammer

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About

Patrick Hammer is a leading researcher in artificial general intelligence (AGI), cognitive architectures, and autonomous robotics. His primary focus lies in developing systems that can reason, learn, and adapt in real-time, bridging the gap between theoretical AI and practical, embodied agents. Hammer’s major contributions center on the OpenNARS for Applications (ONA) system, a non-axiomatic reasoning framework designed for autonomous robots. As detailed in his 2023 paper "ONA for Autonomous ROS-Based Robots" (5 citations), this work enables robots to operate with minimal prior knowledge, learning from experience and handling novel situations—a critical step toward human-like adaptability. His 2020 study on "Agents in dynamic contexts" (2 citations) further explores runtime planning for human-robot teaming, addressing the challenge of cooperation in unpredictable environments. Hammer’s comparative reasoning research (2023, 1 citation) adds depth to AI decision-making. Though his citation counts are modest, his work is foundational for next-generation, self-improving AI systems, earning him recognition as a key innovator in AGI and autonomous robotics.