Mark Coatsworth
Papers
1
Total Citations
12
H-Index
1
About
Mark Coatsworth is a researcher whose work sits at the intersection of robotics, real-time data processing, and disaster response technology. His primary contributions focus on the efficient handling of RGB-D sensor data, a critical component for mobile and aerial robots operating in high-stakes environments like urban search and rescue (USAR). His most-cited work, a 2014 paper on a hybrid lossless and lossy compression scheme for streaming RGB-D data in real time (12 citations), addresses a fundamental bottleneck in robotic exploration: how to transmit rich 3D depth and visual information from collapsed structures without overwhelming bandwidth or latency constraints. By enabling robots to capture and stream data effectively at a safe distance, Coatsworth’s research directly enhances the ability to survey and assess hazardous environments, improving both operational safety and data quality. His work is notable for bridging practical engineering challenges with life-saving applications, demonstrating how efficient data compression can empower robots to see and communicate more clearly when it matters most.
Research Focus
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Top Papers
- 1