Matthew Tesch
Papers
13
Total Citations
754
H-Index
9
About
Matthew Tesch is a leading roboticist whose research centers on the design, control, and optimization of hyper-redundant snake robots for real-world deployment. He is best known for his foundational work on the Unified Modular Snake Robot, a highly articulated, modular platform capable of threading through tightly packed volumes—ideal for disaster response. His paper on the robot’s design and architecture has garnered over 250 citations, establishing a benchmark in the field. Tesch has also made pivotal contributions to gait generation and optimization, developing parameterized and scripted gaits that enable diverse locomotion modes like sidewinding on inclined planes. To overcome the high cost of physical experiments, he pioneered Bayesian optimization techniques tailored for expensive, noisy robotic systems, with his work on response surfaces and expected improvement cited nearly 90 times. His multiobjective optimization research, addressing trade-offs between speed, energy, and robustness under heteroscedastic noise, has shaped how robots adapt to changing environments. With over 700 total citations across his most-cited works, Tesch’s innovations bridge hardware design and intelligent control, advancing snake robots from laboratory curiosities to practical tools for exploration and rescue.
Research Focus
Key Achievements
Top Papers
- 1Design and architecture of the unified modular snake robot257 citations · 2012
- 2Parameterized and Scripted Gaits for Modular Snake Robots247 citations · 2009
- 3
- 4Expensive multiobjective optimization for robotics36 citations · 2013
- 5
- 6Expensive Function Optimization with Stochastic Binary Outcomes24 citations · 2018
- 7
- 8Adapting control policies for expensive systems to changing environments21 citations · 2011
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- 10