Martin Kaltenbrunner
Johannes Kepler University of Linz, Japan Science and Technology Agency
Papers
26
Total Citations
3,712
H-Index
18
About
Martin Kaltenbrunner is a pioneering researcher at the intersection of soft robotics, flexible electronics, and sustainable materials science. His work has fundamentally advanced our understanding of how electronic systems can be made stretchable, imperceptible, and biologically inspired — bridging the gap between rigid conventional technology and the organic complexity of living systems. Kaltenbrunner's most celebrated contribution, a 2013 review on soft electronics garnering over 855 citations, mapped the emerging landscape of elastic robots, electronic skins, and energy harvesters, establishing a visionary framework that continues to guide the field. His development of bimodal electronic skins capable of simultaneous tactile and touchless sensing (325 citations) and imperceptible magnetoelectronics (223 citations) has pushed wearable technology toward truly seamless human-machine interaction. Particularly notable is his commitment to sustainability: his gelatin-based biogels for soft robots (529 citations) and biodegradable actuators represent a paradigm shift toward environmentally responsible robotics. His ultrafast soft electromagnetic robots further demonstrate mastery across both materials innovation and dynamic mechanical design. With a body of work collectively amassing thousands of citations, Kaltenbrunner stands as a defining voice in the future of intelligent, body-integrated, and ecologically conscious robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
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- 4Wearable Magnetic Field Sensors for Flexible Electronics265 citations · 2014
- 5Becoming Sustainable, The New Frontier in Soft Robotics260 citations · 2020
- 6Imperceptible magnetoelectronics223 citations · 2015
- 7Ultrafast small-scale soft electromagnetic robots172 citations · 2022
- 8
- 9Untethered and ultrafast soft-bodied robots151 citations · 2020
- 10Magnetosensitive e-skins with directional perception for augmented reality145 citations · 2018