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
Top Papers
- 1SkiROS—A Skill-Based Robot Control Platform on Top of ROS69 citations · 2017
- 2Artificial Intelligence and the Common Sense of Animals59 citations · 2020
- 3
- 4Mapping Intelligence: Requirements and Possibilities47 citations · 2018
- 5
- 6Integrating Mission and Task Planning in an Industrial Robotics Framework23 citations · 2017
- 7Temporal Multiagent Planning with Concurrent Action Constraints12 citations · 2014
- 8
- 9Planning for Robots with Skills5 citations · 2016