Description
Multimodality enables robots to overcome limitations of single locomotion modes by executing appropriate transitions between different modalities. Excellently synergized in nature, organisms can move, live, and reproduce in challenging environments man-made robots have only dreamt to thrive in. With biomorphic methodology, this dissertation aims to conceptualise, design, implement, and test an arboreal-aerial robot that can interact with its environment. Adaptive technologies will be utilised to achieve hybrid compliance. In the future, this robotic platform may be applied to search and rescue, and real-world ecological and weather monitoring in unstructured environments.Period | 2 Dec 2022 |
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Event title | BioMorphic Intelligence Lab Kick-off Event and Symposium |
Event type | Conference |
Conference number | 1 |
Location | Delft, NetherlandsShow on map |
Degree of Recognition | National |
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BioMorphic Intelligence Lab Kick-off Event and Symposium
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