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CoHoMa
Project Overview
CoHoMa focuses on collaboration between humans and machines.
Each challenge demands a sustained pace, rapid threat identification, and the ability to explore low-visibility areas.
Our Approach
Our response combines:
- SLAM-based iSAM2, with sensors fusion navigation and advanced compression techniques for efficient information exchange over low-bandwidth links
- Assisted navigation with a focus on intuitive human-machine interaction, enabling operators to maintain situational awareness without cognitive overload
- An operator interface that guides decisions without overloading attention