James B. Marshall
Papers
8
Total Citations
175
H-Index
6
About
James B. Marshall is a pioneering researcher in developmental robotics and computing education, best known for his foundational work on self-motivated, task-independent robot architectures. His key research areas include intrinsic motivation, anticipation-based learning, and emergent control systems for autonomous robots. Marshall’s most influential contribution is the development of a self-organizing framework that enables robots to learn without external supervision or predefined tasks—a radical departure from traditional anthropocentric design. His seminal paper, “Bringing Up Robot” (2005, 63 citations), outlines fundamental mechanisms for creating self-motivated agents that anticipate future states and seek novelty, while his 2004 work on an emergent framework (57 citations) further formalizes this approach. These contributions have shaped the field of epigenetic robotics, with cumulative citations exceeding 175. Marshall also co-created Calico (2012), an innovative multi-language programming environment for computing education, and has advanced undergraduate robotics education through advanced project-based learning. His work bridges cutting-edge AI theory with practical pedagogy, making him a notable figure in both robotics research and STEM education.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Emergent Framework For Self-Motivation In Developmental Robotics57 citations · 2004
- 3Calico15 citations · 2012
- 4Advanced Robotics Projects For Undergraduate Students14 citations · 2007
- 5Category-Based Intrinsic Motivation10 citations · 2009
- 6The Multiple Roles of Anticipation in Developmental Robotics9 citations · 2005
- 7Self-Motivated, Task-Independent Reinforcement Learning for Robots5 citations · 2004
- 8Leveraging the Singularity: Introducing AI to Liberal Arts Students2 citations · 2008