CoHoMa

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