Dick Carter

Papers

Total Citations

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About

Dick Carter’s research lies at the intersection of neuromorphic computing and autonomous robotics, where he explores how biological principles can inspire more adaptive machines. His most influential work, “Persuading Computers to Act More Like Brains” (2012), has garnered 6 citations and lays out a vision for hardware and algorithms that mimic neural computation—a foundational piece in the emerging field of brain-inspired engineering. Carter’s hands-on contribution is the Visually-Guided Adaptive Robot (ViGuAR), a neural modeling platform known as Cog ex Machina (Cog), developed under the prestigious DARPA SyNAPSE program. This platform demonstrates how spiking neural networks can drive real-time, visually guided behavior in robots, bridging the gap between theoretical neuroscience and practical autonomy. While his citation counts are modest, Carter’s work is notable for its early, tangible integration of neuromorphic principles into robotic systems—a challenge that remains at the forefront of AI research. His achievements underscore a career dedicated to making machines not just faster, but fundamentally more brain-like in their ability to learn and adapt.