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Multi-modal deformation and temperature sensing for context-sensitive machines

Engineering and Technology

Multi-modal deformation and temperature sensing for context-sensitive machines

R. Baines, F. Zuliani, et al.

Explore the groundbreaking ChromoSense technology, capable of decoding complex stimuli like bending and temperature changes through a unique light-based sensing method. This innovative approach enhances the understanding of human-robot interactions and pushes the boundaries of machine proprioception. Research conducted by Robert Baines, Fabio Zuliani, Neil Chennoufi, Sagar Joshi, Rebecca Kramer-Bottiglio, and Jamie Paik.

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