Papers

9

Total Citations

318

H-Index

8

About

Matthew Crosby is a leading researcher at the intersection of cognitive robotics, artificial intelligence, and industrial automation. His work centers on endowing robots with common sense and adaptive reasoning, drawing inspiration from animal cognition to bridge the gap between low-level control and high-level planning. Crosby’s most influential contribution is the development of **SkiROS**, a skill-based robot control platform built on ROS (69 citations), which enables robots to flexibly integrate perception, planning, and execution in dynamic environments. He has also pioneered the vertical and cyber-physical integration of cognitive robots in manufacturing (51 citations), demonstrating how mission, logistics, and task planning can be unified for industrial kitting applications. His thought-provoking paper “Artificial Intelligence and the Common Sense of Animals” (59 citations) challenges the field to reconsider AI’s foundations by studying how animals understand everyday concepts like objecthood and obstruction—a perspective that has sparked significant discussion. With over 300 total citations, Crosby’s work is shaping the future of autonomous robotics, from factory floors to fundamental AI theory, making him a key voice in the quest for machines that truly understand the world.

Research Focus

Key Achievements

8
H-Index
9
Papers
318
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
SkiROS—A Skill-Based Robot Control Platform on Top of ROS
69 citations · 2017
📈 Most Prolific Year: 2017 (3 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Heriot-Watt University, Imperial College London, University of Edinburgh, Leverhulme Trust

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago