Footage captured by a food delivery robot in Los Angeles was used to arrest and convict two people after a failed attempt to steal it off the street earlier this year, according to 404 Media. Serve Robotics, which works with Uber Eats for last-mile deliveries in the area, shared videos of the incident with the Los Angeles Police Department both proactively and after a subpoena. Serve previously met with LAPD to "open a line of communication" between the two ahead of any potential troubles, emails obtained by 404 also show. It comes at a time when public wariness around the technology is already high, with concerns about just how much the robots are recording and where that footage ultimately goes. Serve Robotics CEO Ali Kashani boasted about the resulting convictions on social media, tweeting, "Some genius once tried to steal one of our robots… It didn't end well (for them)."

The delivery drivers of the future may not leave a package at your door. Instead, they'll be sitting several miles or even time zones away in a control room overseeing a fleet of delivery robots or drones. A look at how innovation and technology are transforming the way we live, work and play. Companies are plowing billions of dollars into autonomous technologies they hope will improve efficiency and solve worker shortages. But executives in these industries say true autonomy is many years away–and may never come.

Video of a sidewalk delivery robot crossing yellow caution tape and rolling through a crime scene in Los Angeles went viral this week, amassing more than 650,000 views on Twitter and sparking debate about whether the technology is ready for prime time. It turns out the robot's error, at least in this case, was caused by humans. The video of the event was taken and posted on Twitter by William Gude, the owner of Film the Police LA, an LA-based police watchdog account. Gude was in the area of a suspected school shooting at Hollywood High School at around 10 a.m. when he captured on video the bot as it hovered on the street corner, looking confused, until someone lifted the tape, allowing the bot to continue on its way through the crime scene. A food delivery robot forces it's way across a police crime scene.

To the uninitiated, a tiny stain on several yards of car seat upholstery or a minuscule gas bubble on the surface of an industrial oil pipe might seem like an insignificant imperfection. But factory inspectors are always on the lookout for these sorts of defects, because they can create serious slowdowns in time-sensitive manufacturing production schedules. Cameras and computer vision software have been used to spot product flaws in manufacturing facilities for decades, but today companies including Landing AI and Mariner are helping take defect detection to the next level with AI software. Rather than offering off-the-shelf AI, these companies are betting that manufacturers want highly customized algorithmic models to monitor for product defects. And they have another selling point that flies in the face of what we know about most big data-hungry AI systems: Their models work using very small datasets.

Serve Robotics, an Uber spinout that builds sidewalk delivery robots, is deploying its next generation of robots that are capable of completing some commercial deliveries without a human in the loop, according to the startup. That means in certain operational design domains, or geofenced areas, Serve won't be relying on remote operators to teleassist robots or followers to trail behind the robots for safety. Most companies in the industry, like Coco, Starship Technologies and Kiwibot, lean on remote operators to monitor autonomous deliveries and take over driving in case the robot stops or needs help, so Serve's milestone is indeed a step toward progress in robotic deliveries. "The problem we have solved is that relying on teleoperation for safety means you must count on 100% reliable LTE networks and 100% mistake-free operators, both of which are impossible to achieve consistently," Ali Kashani, co-founder and CEO of Serve, told TechCrunch. "Consider what happens when a safety situation requires human attention, but the video is delayed or the connection has dropped? With Level 4 robots, humans are not needed to be in the loop to ensure safety."

The prospect of truly zero contact delivery seems closer -- and more important -- than ever with the pandemic changing how we think of last mile logistics. Autonomous delivery executives from FedEx, Postmates, and Refraction AI joined us to talk about the emerging field at TechCrunch Mobility 2020. FedEx VP of Advanced Technology and Innovation Rebecca Yeung explained why the logistics giant felt that it was time to double down on its experiments in the area of autonomy. "COVID brought the term'contactless' -- before that not many people are talking about contactless; Now it's almost a preferred way of us delivering," she said. "So we see, from government to consumers, open mindedness about, maybe in the future you would have everything delivered to you through autonomous means, and that's the preferred way."

Hanging on the wall of Postmates' stealth R&D laboratory, there's a framed photo of an iconic scene from Star Wars, Luke Skywalker bent down beside R2D2. Except someone has used Photoshop to replace Luke's face with Ali Kashani, Postmates' VP of Robotics. Nevermind that Kashani has never seen Star Wars (he considers this a point of pride). Kashani recognizes the symbolism of his face in a world where robots roll around next to people, where bots act almost like friends. Kashani joined Postmates a year and a half ago, with a special mission to bring robots to the company. In the seven years since its founding, Postmates has been on the forefront of the on-demand revolution, averaging 4 million deliveries each month in over 550 cities.