Mistral released an 8b parameter model built for robot navigation and it runs on a single standard rgb camera, no lidar, no depth sensors, no and multi camera rigs. User can just give it a plain language instruction like “leave the lobby, walk through the corridor, enter the supply room” and it handles the pathing itself It istrained entirely in simulation and is hardware agnostic so it works across wheeled, legged, and flying platforms without custom integration. on the r2r ce benchmark they’re reporting 76.6% success on validation unseen and 79.4% on validation seen, which they say beats the best single camera baseline by 9.7 points and the best multi sensor setup by 4.5 points. It comes right after their may acquisition of emmi ai and ongoing deals with airbus and bmw. focused purely on navigation for now, not manipulation. But yeah, at the end, real world sim to real gap is the thing to watch once this hits actual factory floors submitted by /u/ocean_protocol
Originally posted by u/ocean_protocol on r/ArtificialInteligence