Maxwell Fordjour Antwi‐Afari
Papers
7
Total Citations
47
H-Index
4
About
Maxwell Fordjour Antwi-Afari is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and the construction industry. His research primarily focuses on human-robot collaboration (HRC), large language model (LLM)-driven automation, and digital twin technologies, with a growing interest in intelligent sensing systems and smart energy management. Antwi-Afari's most impactful contribution to date is his pioneering work on LLM-based code generation for construction assembly robots, which introduced a hierarchical generation approach that overcomes the rigidity of conventional offline programming methods — a paper that has already attracted 22 citations since its 2024 publication, signaling strong community interest. Beyond robotics programming, he has advanced the field through rigorous systematic and scoping reviews examining how AI, digital twins, and human-autonomy teaming are reshaping project management and construction workflows. His earlier materials science work on self-healing polydimethylsiloxane-based nanocomposite elastomers for strain sensing reflects a versatile technical foundation. Collectively, Antwi-Afari's scholarship addresses critical gaps in construction digitalization, offering frameworks and tools that bridge cutting-edge AI research with real-world infrastructure challenges — making him a researcher worth following as automation reshapes the built environment.
Research Focus
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Top Papers
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