Adam Goode
Papers
3
Total Citations
149
H-Index
3
About
Adam Goode is a robotics researcher whose work has advanced the frontiers of accessible, open-source computer vision and collaborative autonomous systems. His most impactful contribution is the development of the CMUcam3, an open, programmable embedded vision sensor, detailed in a paper that has garnered 116 citations. This platform democratized computer vision by providing a low-cost, flexible, and easy-to-use development environment, enabling a wide range of educational and research projects. Goode also played a key role in the GRACE project, a landmark multi-institutional effort to tackle the AAAI Robot Challenge. Through two papers (with 26 and 7 citations respectively), he helped integrate research from academia, industry, and government into a single autonomous robot—and later a pair of robots, GRACE and GEORGE. These efforts demonstrated how diverse expertise could be combined to solve complex, real-world robotics tasks. Goode’s work stands out for its emphasis on open platforms and collaborative problem-solving, making advanced robotics more accessible and fostering innovation across the field.
Research Focus
Key Achievements
Top Papers
- 1CMUcam3: An Open Programmable Embedded Vision Sensor116 citations · 2018
- 2GRACE: An Autonomous Robot for the AAAI Robot Challenge26 citations · 2003
- 3GRACE and GEORGE: Autonomous Robots for the AAAI Robot Challenge7 citations · 2004