Drones for Suburbs, Robots for Cities
Bobby Healy, founder & CEO of Manna, on drone delivery for the suburbs
This split means autonomous delivery is not one winner take all market, it is two different physics problems with only a narrow overlap. Manna is built for short suburban food runs where speed matters more than payload, because a drone can leave a hub, fly 3 to 4 miles in a straight line, and reach a yard in under three minutes. Ground robots fit the opposite terrain, dense streets, heavier baskets, and the handoff work around hubs and merchants.
-
Manna is choosing neighborhoods where the home itself is the landing infrastructure. In Dublin it serves about 150,000 people from a dense suburban zone, with average flight time of 2 minutes, 50 seconds and peak throughput above 50 deliveries per hour from one location. That makes hot coffee and fries workable products, which is the core point of the air advantage.
-
Coco is optimizing for the places drones struggle. Its robots move like bike couriers across sidewalks, shoulders, bike lanes, and crosswalks, can carry multiple grocery bags or large pizza orders, and can plug into thousands of merchants with almost no site buildout. That is why ground robots map better to urban neighborhoods and bulkier orders.
-
The real overlap is the first and last few hundred meters around supply. Manna describes runners walking bags from restaurants to its hubs today, and sees robots replacing that manual shuttle. Wing shows the same hub logic from the retailer side, using lightweight pads and parking lot setups at Walmart. The system that wins is likely drone trunk line plus robotic ground pickup and feed.
Over the next few years, delivery networks will become more multimodal and more specialized. Drones will keep taking the urgent suburban orders that lose value every minute, while ground robots absorb urban density, larger baskets, and hub logistics. The companies that matter most will be the ones that can plug both modes into DoorDash, Walmart, and similar demand aggregators at scale.