Papers
59
Total Citations
1,798
H-Index
19
About
Roger Bostelman is a prominent robotics researcher at the National Institute of Standards and Technology (NIST) whose career spans foundational contributions in robotic crane systems, mobile robotics, and performance measurement standards. He is perhaps best known for his pioneering work on the NIST RoboCrane — a revolutionary cable-suspended robot system based on the Stewart platform parallel link manipulator concept — which has accumulated over 575 citations since its landmark 1993 publication and spawned multiple follow-on investigations into real-world applications and autonomous control. This work fundamentally expanded thinking about how cranes could function as precision robotic manipulators. Beyond cable robotics, Bostelman has made significant contributions to mobile robotics for manufacturing, authoring influential survey papers on mobile robots (142 citations) and mobile manipulator performance measurement (61 citations) that have helped establish benchmarking frameworks for the field. His 2018 survey on multi-robot assembly strategies (94 citations) reflects his broader interest in collaborative industrial automation. His involvement in DARPA's LAGR autonomous vehicle program further demonstrates his versatility across robotic domains. With a research portfolio exceeding 1,300 total citations, Bostelman's work has consistently shaped both theoretical frameworks and practical standards governing modern industrial and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1The NIST robocrane575 citations · 1993
- 2Literature Review of Mobile Robots for Manufacturing142 citations · 2015
- 3The NIST SPIDER, A robot crane136 citations · 1992
- 4Multi-Robot Assembly Strategies and Metrics94 citations · 2018
- 5Applications of the NIST ROBOCRANE.77 citations · 1994
- 6Survey of Research for Performance Measurement of Mobile Manipulators61 citations · 2016
- 7
- 8Learning traversability models for autonomous mobile vehicles49 citations · 2007
- 93D Cable‐Based Cartesian Metrology System47 citations · 2004
- 10Learning in a hierarchical control system: 4D/RCS in the DARPA LAGR program39 citations · 2006