餐饮配送机器人迎来高光时刻

餐饮配送机器人迎来高光时刻

2025-08-04Technology
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雷总
晚上好,跑了松鼠好嘛,我是雷总。今天是8月4日,星期一,晚上10点半,欢迎收听专为您打造的 Goose Pod。
董小姐
我是董小姐。今晚我们聊一个非常火热的话题:餐饮配送机器人,它们似乎正在迎来自己的高光时刻。
雷总
没错,我们这就开始吧!现在走在路上,比如洛杉矶、芝加哥,看到一个像带轮子的小冰箱,眨着一双LED大眼睛的机器人在人行道上穿行,已经不是科幻片了。它肚子里可能就装着你的午餐。这景象,简直是把未来照进了现实!
董小姐
听起来很有趣,但这背后是实打实的产业布局。目前全美大约有2000台这种机器人在街道和大学校园里运行,连接着像DoorDash、Uber Eats这样的平台和成百上千的餐厅。而且,这个数字今年预计会翻一番。雷总,你觉得这是虚火还是真趋势?
雷总
我认为这是大势所趋!你看,像Coco、Serve和Starship这样的机器人公司,正在获得大量融资。他们的目标非常宏大:重塑餐饮配送市场,甚至是整个城市的街景。他们承诺,一旦规模化,配送费能降到1美元,这太有吸引力了!
董小姐
一美元配送?这确实是颠覆性的。对于常年被高昂配送费和运营难题困扰的餐厅来说,这无疑是巨大的诱惑。像Sweetfin这样的连锁品牌已经在使用,他们的总裁认为,如果能降低费用、对环境友好,还能帮餐厅和消费者省钱,那就是三赢。
雷总
正是这个逻辑!这是一个典型的“win-win-win”模型。但是,Serve的首席运营官也承认,“我们才刚刚触及皮毛”。毕竟,全球食品配送市场到2030年预计将达到4500亿美元。所以,我们看到的只是冰山一角,脚下的路还很长,需要覆盖的“地面”也还很多。
董小姐
也就是说,理想很丰满,但现实还有很多骨感的地方。这些机器人的速度不快,配送半径也只有几英里,技术、地理和实际需求都限制了它们的发展。我们不能只看到高光,还要看清它脚下的路。这个行业到底是怎么发展起来的?
雷总
好问题。这阵风其实从2015年就开始刮了,当时Starship Technologies在欧洲测试原型机。但真正让它起飞的,还是疫情。大家对无接触配送的需求爆炸式增长,这些机器人一下就找到了用武之地,尤其是在大学校园里。
董小姐
我明白了,是特殊时期的需求催生了市场的成熟。就像我们做家电,一个好的产品也需要市场时机来引爆。那么,除了校园,它们在其他领域的应用呢?听说亚马逊也尝试过,但后来放弃了。这说明技术或模式上存在硬伤?
雷总
董小姐看问题总能看到关键。亚马逊的Scout项目确实在2023年取消了,这说明即便是科技巨头,在这条路上也会遇到挫折。但你看,在酒店行业,从2014年开始就有机器人提供客房服务了。到2017年,新加坡的酒店也引进了,说明在特定场景下,这个模式是跑得通的。
董小姐
也就是说,关键在于找到合适的应用场景和商业模式。那技术本身呢?我坚信核心科技才是企业真正的护城河。这些机器人的“心脏”和“大脑”是什么水平?总不能只是拼凑起来的玩具吧。
雷总
绝对不是!早期的机器人,比如2017年那会儿,确实有点像“攒机”,需要从代步车上拆零件,电池又大又重。但现在完全不同了!得益于电动滑板车和电单车的普及,整个微型移动工具的供应链都成熟了。小电机、锂电池这些关键部件,现在随处可得,而且成本大幅下降。
董小姐
这才是重点。一个产业的崛起,离不开背后成熟的供应链体系。当核心部件的成本和获取难度降低,才能让更多的玩家入场,实现规模化,最终降低我们消费者看到的价格。否则,一切都只是空中楼阁。这和我们家电行业的发展路径一模一样。
雷总
完全正确!有了成熟的硬件供应链,下一步就是智能化的竞争。也就是你说的“大脑”。如何让这些机器人在复杂的城市街道上安全、快速地完成任务,这就要靠人工智能了。这才是真正决定谁能笑到最后的关键。
雷总
说到人工智能,这正是最激动人心也最充满争议的地方。理想状态下,我们希望机器人能像人一样学习和决策,而不是靠一堆写死的“如果…就…”规则。比如,遇到红灯要停,但如果一辆车闯红灯,机器人该怎么办?这就需要真正的智能。
董小姐
等一下,你的意思是,现在的机器人还不是完全自主的?我看到文章里说,所有公司都还需要远程人工操作员。机器人在过马路或者遇到坑洼时,还是需要人来“搭救”一下。这不就又回到了人力成本的问题上吗?说好的降本增效呢?
雷总
这是一个过程。目前确实是“人机结合”的模式。但近几年AI的发展,尤其是像ChatGPT这样的模型的出现,提供了一种新的训练方式。它让机器人能从海量数据中持续学习、自我进化,而不是达到一个学习平台期就停滞不前。未来,一个操作员可以监控更大规模的机器人车队。
董小姐
未来的事我们先放一边。就看现在,矛盾很突出。一方面,公司宣传自动化带来的美好前景。另一方面,英国的快递员工会已经发出了警告,担心机器人会抢走他们的饭碗。这不就是典型的技术发展带来的社会阵痛吗?企业要如何平衡?
雷总
公司给出的说法是,机器人可以处理市中心短距离的订单,把距离更长、更有利可图的订单留给人类快递员。而且,更便宜的配送会刺激更多人下单,从而创造出新的工作机会。这是一个“做大蛋糕”的逻辑,而不是“零和博弈”。
董小姐
这个逻辑是否成立,还需要市场来检验。还有一个更直接的冲突,那就是机器人和行人的关系。有人抱怨它们挡路,尤其对残障人士不友好。虽然文章说机器人被蓄意破坏的情况很少,人们觉得它“很萌”,但这不能掩盖它占用公共人行道的事实。这个问题怎么解决?
雷总
这确实是一个需要认真对待的社会影响问题。但从积极的方面看,机器人对餐厅的效率提升是立竿见影的。比如Sweetfin餐厅,机器人就在门口等着,餐一好,装进去就走。这比等人类司机开车过来取餐要快得多,对保证食物新鲜度至关重要。
董小姐
效率提升我承认,但成本呢?这才是核心。文章提到,Sweetfin现在为每单机器人配送支付大约4到5美元,这只比传统第三方配送稍微便宜一点,但离宣传的1美元目标还差得远。要实现这个目标,机器人本身的制造成本和运营效率都需要达到一个近乎“疯狂”的水平。
雷总
是的,Coco的CEO也承认这一点,但他相信几年内就能实现。你看,整个市场正在飞速增长,预计到2033年,市场规模将达到近130亿美元。这种增长会带来规模效应,进一步摊薄成本。而且,电动的机器人还能减少碳排放,对环境有好处。
董小姐
环境效益是加分项,但不能成为商业模式不成立的借口。根本上,这种技术正在改变价值分配。它将原本属于劳动力的报酬,转移给了拥有技术的资本方。文章说这会淘汰一些常规岗位,同时创造AI监督、数据分析等新岗位。这对整个社会就业结构的影响是深远的。
雷总
没错,未来的趋势就是自动化和智能化。要让机器人配送大规模普及,一方面需要AI技术的持续突破,让机器人真正实现无人干预的全天候自主运行。另一方面,也需要城市管理者转变思路,比如通过修改区划法规、提供补贴等方式来支持这项新技术的成长。
董小姐
政策和法规确实是最大的变数。每个城市的规定、劳动力市场、商业环境都不同,进入一个新市场的时间和金钱成本非常高。这会严重拖慢扩张的脚步。技术可以快速迭代,但现实世界的壁垒,是需要一个一个去攻克的,这才是未来最大的挑战。
雷总
但我还是非常乐观的。我相信随着技术的成熟和成本的降低,机器人配送会从现在少数“早期尝鲜者”的选择,变成大众普及的服务。这只是时间和数据的问题。到2030年,这个市场的价值预计会超过20亿美元,未来可期啊!
董小姐
今天的讨论就到这里。总而言之,送餐机器人已经从科幻走入现实,背后是资本和技术的双重驱动。感谢您的收听,跑了松鼠好嘛。这里是Goose Pod。
雷总
是的,虽然在法规、技术自主性和社会接受度上还有很长的路要走,但它的前景无疑是光明的。我们明天再见!

Here's a comprehensive summary of the provided news article about restaurant delivery robots: ## Restaurant Delivery Robots Poised for Exponential Growth **News Title:** Restaurant delivery robots are ready for their close-up **Source:** Restaurant Business **Author:** Joe Guszkowski **Published:** August 1, 2025 (Article published on this date, covering recent developments and future outlook) --- ### Executive Summary The landscape of food delivery is undergoing a significant transformation with the rapid advancement and scaling of sidewalk delivery robots. Fueled by substantial financing and technological breakthroughs, these autonomous couriers are becoming an increasingly common sight in major U.S. cities. While facing some technological and regulatory hurdles, the industry is optimistic about the potential for robots to revolutionize food delivery by reducing costs, increasing efficiency, and alleviating urban traffic congestion. --- ### Key Findings and Conclusions * **Exponential Growth Projected:** The number of delivery robots is expected to grow exponentially in the coming years, with companies significantly increasing their fleets. * **Market Transformation Potential:** Once at scale, these robots have the potential to reshape both the restaurant delivery market and the urban streetscape. * **Cost Reduction and Demand Increase:** As manufacturing and operating costs decrease, delivery fees could fall as low as $1, driving increased demand and reducing reliance on carbon-emitting vehicles. * **Restaurant Benefits:** Restaurants anticipate more efficient delivery processes, lower costs, and improved environmental consciousness. * **Technological Advancements:** Significant progress in Artificial Intelligence (AI), particularly inspired by models like OpenAI's ChatGPT, is enabling robots to learn and navigate complex urban environments more effectively. * **Current Limitations:** Robots are still limited by low speeds, short delivery radii, and the need for remote human oversight for complex situations like crossing busy streets or navigating obstacles. * **Job Market Impact:** While concerns exist about job displacement, proponents argue that robots will complement human couriers by handling short-distance deliveries, thereby increasing overall demand and creating more opportunities. --- ### Key Statistics and Metrics * **Current Robot Count:** Approximately **2,000** delivery robots are currently operating on U.S. sidewalks and college campuses. * **Starship Technologies:** Operates over **1,200** delivery bots in the U.S. * **Coco Robotics:** * Currently has **hundreds** of robots. * Expects to have over **1,000** robots this year. * Aims to reach **10,000** robots by the end of next year. * Backed by OpenAI CEO Sam Altman. * **Serve Robotics:** * Has about **300** robots. * Under contract with Uber to reach **2,000** by the end of the year. * Raised **$200 million** last year after going public in April. * **Global Food Delivery Market:** Expected to reach **$450 billion** by 2030. * **Delivery Cost Target:** Companies like Coco aim to reduce delivery costs to as low as **$1**. * **Sweetfin Delivery Costs:** Currently pays approximately **$3.99 or $4.99** per Coco delivery, which is slightly less than regular third-party deliveries but still far from the $1 target. * **Robot Abuse/Vandalism:** Affects **less than 1%** of deliveries, according to Starship. * **Uber's Involvement:** Supporting robotic delivery in **10 markets**. --- ### Significant Trends and Changes * **Increased Financing:** Robotic delivery companies are securing significant funding, enabling rapid acceleration of production. * **Pilot Programs to Rollouts:** Small pilot programs are evolving into full-scale deployments. * **Supply Chain Maturation:** The rise of electric scooters and e-bikes has helped establish a supply chain for necessary robot components, making them cheaper and more readily available. * **AI Integration:** Advances in AI are crucial for improving robot autonomy and navigation capabilities. * **Public Perception:** Robots are becoming more visible and are even appearing in pop culture, contributing to a growing public awareness and acceptance. * **Anthropomorphism:** Robot designs are increasingly incorporating friendly and approachable aesthetics to foster positive public interaction. --- ### Notable Risks and Concerns * **Technological Limitations:** Robots are still not fully autonomous and require human oversight for challenging situations. * **Geographical and Market Constraints:** The suitability of sidewalk robots is limited by specific urban environments, including speed, delivery radius, and the presence of obstacles. * **Regulatory Hurdles:** Navigating different city regulations, labor laws, and business landscapes is a significant challenge for market expansion. * **Pedestrian Impairment:** Some pedestrians, particularly those with disabilities, have raised concerns about robots being an impediment on sidewalks. * **Job Displacement Fears:** Unions have voiced concerns about robots taking jobs from human delivery workers. * **Infrastructure Challenges:** Cities need to adapt their infrastructure and regulations to better support robot operations. --- ### Material Financial Data * **Funding Rounds:** Starship and Coco have recently closed eight-figure funding rounds. Serve raised $200 million last year. * **Market Value:** The global food delivery market is projected to reach $450 billion by 2030. * **Delivery Cost Savings:** The ultimate goal is to reduce delivery costs to $1 per delivery, a significant reduction from current rates. * **Restaurant Investment:** Restaurants like Sweetfin are investing in robot delivery to improve efficiency and potentially lower costs, with delivery accounting for about a quarter of their sales. --- ### Important Recommendations (Implied) * **City Support:** Cities are encouraged to support robot growth through measures like changing zoning rules or offering subsidies to facilitate market expansion and lower costs. * **Continued AI Development:** Further advancements in AI are critical for achieving higher levels of autonomy and enabling robots to operate independently in diverse urban settings. * **Customer and Restaurant Adoption:** The success of automated delivery hinges on widespread adoption by both consumers and restaurants. --- ### Key Quotes * "If a business can find a way to bring down delivery fees, to be more environmentally conscious and bring down costs both for restaurants and the consumer, it’s a win-win-win." - **Seth Cohen, president of Los Angeles-based Sweetfin.** * "We have barely scratched the surface... We are excited by it, we are energized by it … but we have lots of ground to cover, literally." - **Touraj Parang, COO of Serve.** * "We’re seeing a really big ramp up." - **Megan Jensen, head of autonomous delivery operations at Uber.** * "Today, just off the shelf, you can buy things, and there’s manufacturing already set up, and costs have come down drastically compared to what we saw a decade ago." - **Harrison Shih, head of product for DoorDash Labs.** * "The key enabler is, you need the level of autonomy to be really high, and I think that’s a really easy line to extrapolate with the kind of progress we’ve had in the industry lately." - **Zach Rash, CEO and co-founder of Coco.** * "We really do believe that the number of human couriers and delivery robots are going to continue to grow side by side for quite a long time." - **Megan Jensen of Uber.**

Restaurant delivery robots are ready for their close-up

Read original at Restaurant Business

The number of delivery robots is exepcted to grow exponentially in the coming years. | Photo courtesy of Coco RoboticsA robot makes its way along a city sidewalk. It stops, shifts, crawls forward. It blinks a pair of perfectly round, LED eyeballs. A few pedestrians stop and stare. But the bot, which resembles a picnic basket on wheels, is unbothered.

It pauses at a crosswalk, then trundles on. Inside its insulated belly is someone else’s lunch. It’s like a scene out of a science-fiction novel. Except it’s not. In big cities across the country, from Los Angeles to Chicago to Miami, sidewalk-crawling food delivery robots are becoming part of the scenery.

Ray Bradbury, eat your heart out. There are roughly 2,000 of these machines roaming U.S. sidewalks and college campuses today, equipped with cameras, sensors and sophisticated software that help them get around. They’re operated by companies like Coco, Serve and Starship Technologies, with delivery platforms such as DoorDash, Uber Eats and Grubhub connecting the dots between restaurants, customers and robots.

With financing flowing into the space, the number of bots is set to more than double this year and increase exponentially in the years to come.Starship has more than 1,200 delivery bots in the U.S. | Photo courtesy of Starship TechnologiesThe bots will have to multiply if they are to fulfill the considerable hope being placed on their boxy shoulders.

The robotics companies say that their fleets, once at scale, could reshape not only the restaurant delivery market but also the urban American streetscape. As the cost of building and operating robots comes down, customers will be able to have food delivered for as little as $1, they say, increasing demand for the service and easing the logjam of carbon-emitting cars on the road.

Robot delivery holds distinct promises for restaurants, many of which have tolerated delivery for years despite the considerable expense and operational headaches it brings. Hundreds of restaurants are now plugged into robot delivery networks, including large chains like Shake Shack and White Castle, in hopes that they will make the process more efficient.

“If a business can find a way to bring down delivery fees, to be more environmentally conscious and bring down costs both for restaurants and the consumer, it’s a win-win-win,” said Seth Cohen, president of Los Angeles-based Sweetfin, which uses Coco’s delivery bots. “I think that’s great. There’s optimism there.

”At the same time, there are some hurdles ahead for delivery bots, which are still limited by technology, geography and demand. With low speeds and delivery radiuses of just a couple of miles, there are only so many markets that make sense for sidewalk bots today, and only a handful of those have meaningful coverage.

“We have barely scratched the surface,” said Touraj Parang, COO of Serve, who noted that the global food delivery market is expected to reach $450 billion by 2030. “We are excited by it, we are energized by it … but we have lots of ground to cover, literally.”Food delivery robots have been around since at least 2015, when Starship Technologies began test-driving a prototype in Europe.

They began to gain traction during the pandemic as demand for food delivery exploded. And over the past year or two, they have found another gear. Robotic delivery companies are closing big funding rounds. Small pilot programs are evolving into full-blown rollouts. The bots are even beginning to show up in pop culture, acting as mascots for the AI era.

“Whether it’s the headlines around the industry, or the actual physical product sinking in out in the wild, I think that gut feeling [that delivery bots are progressing] is spot on,” said Aaron Campbell, founder of Operation Autopilot, a consulting firm that works with autonomous vehicle startups.Much of that progress has been a function of financing.

Both Starship and Coco recently closed eight-figure funding rounds, while Serve raised $200 million last year after going public in April. The influx of capital has allowed the companies to rapidly accelerate production. Starship currently has more than 1,200 robots in the U.S.; Coco has hundreds and expects to have over 1,000 this year and 10,000 by the end of next; and Serve has about 300 and is under contract with Uber to reach 2,000 by year’s end.

“What we’re seeing in the past year is going quickly from dozens of robots to now hundreds of robots,” said Megan Jensen, head of autonomous delivery operations at Uber. “We’re seeing a really big ramp up.”It helps that delivery robots have also become easier and less expensive to manufacture. When Harrison Shih was developing sidewalk bots for San Francisco-based Marble in 2017, he was cobbling together parts from mobility scooters and giant batteries that weighed hundreds of pounds.

That was before electric scooters and e-bikes became staples of modern urban life, which helped to establish a supply chain for so-called micro-mobility vehicles. Now, the parts needed to build a good sidewalk robot, like small motors and lithium-ion batteries, are cheap and readily available. “Today, just off the shelf, you can buy things, and there’s manufacturing already set up, and costs have come down drastically compared to what we saw a decade ago,” said Shih, who is now head of product for DoorDash Labs, which leads the company’s automated delivery efforts.

Building more bots is a key piece of the automated delivery equation, because it will create economies of scale that will bring down costs for everyone involved. But the bots’ success will also hinge on their ability to complete deliveries quickly and safely. And that comes down largely to a question of artificial intelligence.

Today, delivery robots are not completely autonomous. All three companies interviewed for this article still rely on remote human pilots to step in when their machines get into trouble. The bots tend to need help crossing busy streets, for instance, and they can get caught up by common obstacles such as curbs, tree roots and potholes.

Still, their autonomy has made strides in recent years thanks to watershed developments in AI, particularly OpenAI’s launch of ChatGPT in late 2022.The company’s big breakthrough had to do with the way it trained the model behind the human-like chatbot. It used massive data sets and some hands-on coaching that enabled the AI to keep getting smarter and smarter over time.

That approach has since spread to other AI applications, including delivery robots, which have generated millions of miles of valuable training data already. Previously, there was only so much an AI model could learn from that data before it began to “plateau,” said Zach Rash, CEO of co-founder of Coco, which is backed by OpenAI CEO Sam Altman.

That training limitation meant that robot delivery companies had to manually create rules for their bots, like that they must stop at a stop sign. But navigating city streets is not that cut and dry. There’s an almost infinite number of scenarios that a bot may have to respond to. It can be programmed to stop at a stop sign.

But what if a car blows the stop? “You want a system that just learns, like a human does, how to operate in those environments without creating hard rules,” Rash said. “These new AI systems are really good at doing that.” A Coco robot crosses the street in Santa Monica, California. | Photo courtesy of Coco Robotics The hope among robotics companies is that the bots’ autonomy will advance to the point that fewer humans will be able to monitor increasingly larger fleets, which will help bring costs down.

But whether the bots will ever be completely self-sufficient is still unclear.“That’s, like, a trillion-dollar question,” said Campbell. The answer will depend on both technological advances and human factors such as regulation and safety.On the second point, Campbell said that sidewalk bots have proven to be relatively low-risk.

They’re unlikely to hurt someone by running into them. The worst that can happen is one of the bots gets hit by a car, he said. From a regulatory perspective, that could make the path to total autonomy easier.“For sidewalk deliveries, I could see a world where humans are mostly, if not entirely, in a mission-completion sense, out of the loop,” he said.

“But do I think we’re there right now and that’s a wise move or a way to get costs to zero? Not necessarily.”For now, the urban jungle remains full of pitfalls for delivery robots. Online, there are countless videos of bots imperiled by curbs, trees, snow and even fellow robots.Robot operators maintain that these problems are navigable, especially with human oversight.

Starship’s bots have managed to survive in Finland, where the winters are long and cold. “We have snow and black ice and all sorts of things. We have very narrow streets and very large ones,” said Valentin Naidja, Starship’s SVP of revenue. “Pretty much anything you can think of, we’ve probably operated in.

”The question he gets the most, though, is about vandalism. Do the defenseless bots become targets for troublemakers? Naidja said robot abuse is extremely rare, affecting less than 1% of deliveries. “It just doesn’t happen,” he said. On the contrary, he said, people love the bots.“Just look at them.

They’re just cute,” he said. “There are parts of the country where you will have a lot of snow and a robot will be on the side, a little bit forlorn and stuck, and you will have a good Samaritan helping the robot.”The robots’ friendly appearance is actually quite calculated. Serve wanted its bot to look approachable, although not so much so that it would be treated “like a little toy on the sidewalk,” said Touraj Parang, president and COO.

It took inspiration from other wheeled objects people are familiar with, like strollers and shopping carts. “We had to hit that happy medium between what’s functional and what’s also neighborly,” Parang said. The result is like “if a Minion and Wall-E had a baby.”Serve's robot is designed to look friendly but functional.

| Photo courtesy of Serve RoboticsThe bot’s big googly eyes and rounded edges have helped it make friends, Parang said, including in Hollywood, where Serve’s robots have become a frequent sight. Last year, producers from the Netflix talk show “Everybody’s Live with John Mulaney” reached out to Serve about featuring a robot on the program.

The bot, dubbed Saymo, has become a recurring character on the show, with at least one critic praising the bot’s “star turn.”“Every celebrity I’ve ever wanted to meet has met our robot,” Parang said. “So I’m very jealous of the robot in that sense.”The anthropomorphism hasn’t worked on everyone. Some pedestrians have complained that the bots are an impediment, particularly for people with disabilities.

And naturally, there are also concerns that the robots could end up taking jobs from human delivery workers. In 2022, a pair of courier unions in the U.K. sounded the alarm about the rise of automation in their industry.Robotics and delivery companies said that currently, demand for delivery outweighs the number of couriers available.

Robots, they said, can help close the gap by handling short-distance orders in dense areas, leaving longer and more lucrative trips for human drivers.They also said that by making delivery more affordable, robots will help increase demand for the service, creating even more opportunities for delivery people.

“We really do believe that the number of human couriers and delivery robots are going to continue to grow side by side for quite a long time,” said Jensen of Uber.For restaurants in big cities, the bots do present some advantages over human delivery people. At 16-unit Sweetfin, Coco’s delivery bots typically complete deliveries faster than drivers, said Cohen.

Even though they’re physically slower than cars, they get a head start because they linger outside the restaurant, ready to go as soon as an employee loads in a meal.“That’s just a benefit of utilizing the technology. We’re not waiting for drivers to show up,” Cohen said. This is important for Sweetfin, whose fresh poke bowls are best consumed ASAP.

Long-term, the potential cost savings created by robot delivery could have an even bigger impact for the brand, where about a quarter of sales come from delivery. Today, the restaurant pays about $3.99 or $4.99 per Coco delivery, Cohen said, which is slightly less than the cost of regular third-party deliveries.

But it is still far from Coco’s stated target of $1 per delivery.To get there, “the cost to produce the robots has to be insanely cheap, and they’d have to be insanely efficient,” completing many deliveries per hour to generate enough revenue to pay themselves off, Cohen said.“Again, I’m a supporter,” he said.

“I’m just asking questions.”Rash said Coco is “well on our way” to hitting the $1 benchmark and believes it can get there in a matter of a few years. Supply is growing, manufacturing costs are coming down, and demand is increasing thanks to third-party delivery networks. “So then the key enabler is, you need the level of autonomy to be really high, and I think that’s a really easy line to extrapolate with the kind of progress we’ve had in the industry lately,” Rash said.

“It’s just a matter of time and data before that happens.”But there’s another, more fundamental obstacle standing between delivery bots and mass adoption, Campbell said: Getting into new markets. Every city has its own regulatory, labor and business landscapes to navigate, not to mention the streets themselves.

Support teams have to be established along with restaurant and delivery partnerships. All of that takes time and money.Campbell said he’d like to see cities doing more to support the growth of delivery robots by changing zoning rules or offering subsidies, especially given the bots’ potential to improve quality of life by easing traffic and pollution.

“It would help drive up the ability to supply the market, and that demand there would ultimately help lower the cost,” he said. “Right now, they have to price in the fact that they can’t produce 10,000 units if they don’t have 10,000 cities or places or streets for them to go.”Uber is currently supporting robotic delivery in 10 markets, and Jensen acknowledged that the policy backdrop has something to do with where it has chosen to go live.

But she has no doubt that automated delivery will continue to rumble through roadblocks over the next few years. “We’re so early on the scaling side, and the gates that we have to continue to move through are adoption, both on the customer side and the restaurant side,” she said. “I think it’ll become much more the norm.

Less early adopter, more mass adoption and appeal.”

Analysis

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Conflict+
Background+
Impact+
Future+

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