Matthew W. Powelson
Papers
6
Total Citations
55
H-Index
5
About
Matthew W. Powelson is a researcher whose work bridges the frontiers of medical robotics and bio-inspired climbing systems. His key research areas include minimally invasive neurosurgery, specifically MRI-guided laser-induced thermal therapy (LITT), and the design of climbing robots using dry adhesives. In his most cited work (24 citations), Powelson pioneered the optimization of curvilinear needle trajectories for transforamenal hippocampotomy, a technique that could revolutionize seizure disorder treatments by enabling safer, more precise access to deep brain structures. On the robotics side, he has made significant contributions to track-type climbing robots, developing compliant suspension systems that dramatically increase payload capacity—addressing a critical limitation in the field. His 2019 paper on scalable payloads (11 citations) demonstrates how dry adhesives can be engineered for practical, heavy-duty climbing applications. Powelson has also explored neural-network-based inverse kinematics for serial manipulators, showcasing his versatility in computational robotics. His experimental work on dry adhesive attachment properties provides foundational knowledge for the robotics community. Through these diverse contributions, Powelson has established himself as an innovator at the intersection of surgical precision and robotic mobility.
Research Focus
Key Achievements
Top Papers
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- 3Design of Track-Based Climbing Robots Using Dry Adhesives6 citations · 2017
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