Nikhil Mukraj and Jacob Shechter, students at Northeastern University, showcased their innovative robot capable of live poker play during the 2025 Expo. Unlike typical poker bots, their robot mimics real-life player mechanics while integrating algorithms for strategic decision-making. The project aims to enhance 'pick-and-place' robotics for industrial applications, necessitating precision akin to poker gameplay. The modular design utilizes 3D printed components and includes a card recognition system, indicating broader applications in fields such as manufacturing and autonomous vehicles.
"In various manufacturing and warehouse settings, you want to have precise control over a given object or item," Mukraj said. "Robots' motions need to be very precise."
"Poker is a semi-random game - you don't always know what's going to happen next," Mukraj said. "The algorithms that we developed to solve poker can be applied to other unpredictable environments. We see this coming up quite a bit in navigation."
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