Daniel B. C. Muldrew
Papers
1
Total Citations
2
H-Index
1
About
Daniel B. C. Muldrew’s research lies at the intersection of cognitive neuroscience and robotics, with a focus on understanding how biological principles of control can be translated into artificial systems. His most-cited work, “Cognitive and action control for goal-directed reaching in a humanoid robot” (2017), explores how hierarchical architectures inspired by the brain’s own control systems can enable robots to achieve more human-like, goal-directed behavior. This paper, while early in its citation trajectory, has laid important groundwork for integrating cognitive and motor control in embodied AI. Muldrew’s contributions are particularly notable for bridging theoretical models of neural control with practical robotic implementations, addressing the longstanding challenge of achieving human-level performance in dynamic environments. His work emphasizes the value of drawing design principles from neuroscience—such as the combination of multiple behavioral control systems—to build more adaptive and intelligent machines. Though his citation counts are still growing, Muldrew’s research is positioned to influence both roboticists and cognitive scientists, offering a principled pathway toward more brain-like artificial agents.
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Top Papers
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