Joshua Bross

Papers

Total Citations

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About

Joshua Bross is a roboticist whose research focuses on motion planning for deformable objects, a critical challenge in automation, medical robotics, and soft robotics. His most-cited work, "Deformable robot motion planning in a reduced-dimension configuration space" (2010, 20 citations), tackles the high computational cost of simulating deformations by introducing a sampling-based planner that operates in a reduced-dimension space. This approach enables fast, physically plausible motion planning for deformable objects, balancing accuracy with efficiency—a key contribution to making deformable manipulation practical. Bross’s work addresses the fundamental tension between the high degrees-of-freedom inherent in deformation and the need for real-time performance, offering a method that has influenced subsequent research in deformable object manipulation. While his citation count reflects a focused, early-career impact, his contributions are notable for their conceptual clarity and practical relevance, providing a foundation for future work in areas like surgical robotics and automated assembly. Bross’s research exemplifies how dimensionality reduction can unlock new capabilities in robotic systems dealing with non-rigid materials.