Steven C. Colbert
Papers
2
Total Citations
7
H-Index
2
About
Steven C. Colbert is a robotics researcher whose work focuses on the critical challenge of enabling autonomous systems to perceive and interact with unfamiliar objects in unstructured environments. His primary research areas include computer vision, 3D reconstruction, and robotic manipulation, with a specific emphasis on developing algorithms that allow robots to recover the shape and pose of objects without prior knowledge. Colbert’s most notable contributions are detailed in his papers on efficient shape and pose recovery from three camera views, where he demonstrates that a multi-camera setup can provide sufficient geometric information for a robot to plan grasping and manipulation maneuvers in real time. His 2010 paper on this topic, which has garnered 4 citations, lays the groundwork for a vision-based system that operates without relying on pre-scanned models, while his follow-up work, cited 3 times, evaluates the practical performance of this 3D reconstruction algorithm. Though his citation counts are modest, Colbert’s research addresses a fundamental bottleneck in autonomous robotics—the ability to handle novel objects—making his work a valuable stepping stone for students and researchers interested in perception-driven manipulation.
Research Focus
Key Achievements
Top Papers
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- 2