Max Robotics — Global Service Robot Directory + US Certification

About

Michael Giancola’s research sits at the intersection of artificial intelligence, ethics, and cognitive robotics, tackling some of the field’s most profound challenges. His work centers on developing argument-based frameworks for ethical decision-making in multi-agent systems, where artificial agents must adjudicate moral dilemmas autonomously. His most-cited paper, “Automated argument adjudication to solve ethical problems in multi-agent environments” (2021, 15 citations), introduces a formal mechanism for resolving ethical conflicts among AI agents—a foundational contribution to machine ethics. Giancola also pushes the boundaries of logic and semantics: in “Argument-based inductive logics, with coverage of compromised perception” (2024), he extends formal reasoning to handle uncertain or degraded sensory input, while his “(Uncomputable!) Meaning of Ethically Charged Natural Language” (2022) explores the limits of computational semantics for moral language using hypergraphical inferential structures. His creative side emerges in “Affect-based Planning for a Meta-Cognitive Robot Sculptor” (2023), where he investigates how robots might generate art guided by emotional states. With a growing citation footprint and a portfolio that bridges formal logic, ethical AI, and embodied cognition, Giancola is a rising voice in efforts to make artificial agents not just intelligent, but morally aware.