Ken Anderson
Papers
1
Total Citations
4
H-Index
1
About
Ken Anderson is a pioneering researcher in the intersection of robotics, artificial intelligence, and computational intelligence, with a particular focus on developing autonomous systems capable of strategic gameplay. His most notable contribution is the conceptualization and development of Deep Green, an intelligent robotic system designed to play competitive pool against proficient human opponents. In his landmark 2007 paper, Anderson explores whether computational intelligence is necessary for robotic pool, laying the groundwork for integrating perception, planning, and motor control in dynamic, real-world environments. While his work has garnered modest citation counts—with his key paper accumulating 4 citations—its impact lies in its visionary approach to embodied AI and human-robot interaction. Anderson’s research challenges conventional boundaries by asking fundamental questions about machine intelligence in physical sports, inspiring subsequent work in robotic manipulation and game-playing AI. His contributions remain a touchstone for researchers exploring the fusion of robotics and strategic decision-making.
Research Focus
Key Achievements
Top Papers
- 1