Carl Crane
Papers
2
Total Citations
8
H-Index
2
About
Carl Crane’s research is anchored in robotics, autonomous systems, and mechanism design, with a focus on solving complex spatial and path-planning problems. He is best known for pioneering the application of multi-resolution parallel genetic algorithms to autonomous robotic path planning, a contribution that addresses the computational intractability of deterministic methods like A* and D* in large, reactive environments. This work, his most cited with 5 citations, offers a scalable solution for real-time navigation in expansive search spaces. Crane also made notable advances in kinematic analysis, as seen in his 2007 paper on the reverse kinematics of spatial six-axis robotic manipulators with parallel consecutive joint axes. Here, he introduced a reconfigurable, one-degree-of-freedom spatial mechanism that employs five pairs of noncircular gears within a closed-loop chain, enabling efficient repetitive motion tasks. This innovative gear-based design demonstrates Crane’s ability to merge theoretical kinematics with practical mechanical solutions. His research, though modest in citation counts, reflects a deep commitment to foundational problems in robotics and mechanism theory, offering students and researchers a blend of algorithmic and mechanical ingenuity that continues to inform autonomous system design.
Research Focus
Key Achievements
Top Papers
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