Papers
10
Total Citations
592
H-Index
8
About
Chris Scrapper is a leading researcher in robotics, with a primary focus on simulation, mapping, and multi-robot coordination for Urban Search and Rescue (USAR). His most influential contribution is the development of USARSim, a high-fidelity, open-source robot simulator that has garnered over 423 citations and serves as a cornerstone for both research and education in the field. By bridging the gap between simulation and reality, Scrapper’s work has enabled the RoboCup Rescue Virtual Robot Competition, providing standardized benchmarks that drive innovation in disaster response robotics. He has also advanced mobile robot navigation and map evaluation, introducing novel metrics using fiducial objects to assess mapping quality. His research extends to cooperative formation control for autonomous ground vehicles and mission planning frameworks like M2PEM, which simplifies the design and execution of complex multi-vehicle missions. With over 580 total citations across his most-cited works, Scrapper’s contributions have profoundly shaped the robotics community, fostering collaboration and rigorous performance evaluation in challenging, real-world environments.
Research Focus
Key Achievements
Top Papers
- 1USARSim: a robot simulator for research and education423 citations · 2007
- 2Bridging the Gap Between Simulation and Reality in Urban Search and Rescue85 citations · 2007
- 3Evaluation of maps using fixed shapes18 citations · 2010
- 4USARSim: a RoboCup virtual urban search and rescue competition13 citations · 2007
- 5Road-following formation control of autonomous ground vehicles12 citations · 2015
- 6Performance analysis for stable mobile robot navigation solutions11 citations · 2008
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- 10RoboCupRescue Interleague Challenge 20092 citations · 2009