Papers

17

Total Citations

594

H-Index

10

About

David McFarland is a pioneering researcher at the intersection of animal behavior, robotics, and autonomous systems, whose work has fundamentally shaped how scientists think about intelligence across biological and artificial agents. Drawing on deep roots in ethology, McFarland's most influential contribution, *Intelligent Behavior in Animals and Robots* (1993, 321 citations), established the compelling framework that animals, humans, and robots can be unified under a common model of multi-task autonomous control — a foundational insight for both behavioral science and robotics. His development of "artificial ethology" further advanced this vision, using robots as experimental tools to illuminate real animal behavior. McFarland extended these ideas into practical engineering, designing innovative systems such as DIVEBOT, a whale-inspired underwater robot capable of buoyancy control through oil-heating mechanisms. His work on robot autonomy, predator-mimicking robots, and cooperative robot behavior demonstrates a remarkable breadth of application. In *Guilty Robots, Happy Dogs* (2008), he brought these ideas to a broader audience, probing philosophical questions about minds, morality, and machines. With over 500 cumulative citations, McFarland's legacy bridges biology, philosophy, and engineering in uniquely thought-provoking ways.

Research Focus

Key Achievements

10
H-Index
17
Papers
594
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Intelligent Behavior in Animals and Robots
321 citations · 1993
📈 Most Prolific Year: 2003 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: University of Oxford, University of the West of England, New College

Top Papers

  1. 1
  2. 2
  3. 3
    Towards Robot Cooperation
    28 citations · 1994
  4. 4
  5. 5
    Artificial Ethology
    27 citations · 2001
  6. 6
    Guilty Robots, Happy Dogs
    23 citations · 2008
  7. 7
  8. 8
    Animals as cost‐based robots
    18 citations · 1992
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago