Robot.com pitches R-dog delivery concept with ad screens

Robot.com pitches R-dog delivery concept with ad screens

2 min read•Sep 1, 2026•
Ryan O'Connor
Ryan O'Connor

Robot.com is pitching its R-dog autonomous delivery robot concept with ad screens and stair navigation, first reported by Electrek. The company says its stair and low-barrier capabilities could reduce the need for manual handoffs, but the proposal leaves open how the robot would handle multiple deliveries on a single route.

Robot.com unveiled the concept earlier this week with expressive “eyes,” chunky styling, a red cap and a furry tail. It says the R-dog can go up and down stairs and navigate low barriers more quickly and effectively than many boxier delivery robots, helping it reach more final destinations.

Robot.com also says the R-dog can hold natural voice conversations with passers-by, which its makers suggest could support more flexible and interactive advertising campaigns.

The ad pitch is part of the design

Two TVs on the robot run ads, making advertising a central part of the proposal. R-Ads measures impressions, interactions and dwell time per robot, giving brands actual engagement data through a real-time dashboard.

Onboard cameras and sensors are not only for navigation: they also clock people’s faces and count who engages with the ad-playing screens. The pitch puts two functions on one machine: reaching final destinations and generating advertising metrics.

Robot.com cites limited data-retention windows and strictly controlled internal access to PII and other customer data. The company suggests that individuals can request to access, correct or delete personal data, or opt out of certain disclosures by email.

The process for a passer-by to know where to send such a request is not clear. How, or even if, the R-dog would handle multiple deliveries along one route is also unclear.

A company video shows the concept navigating sections of Miami Beach.

Arizona appeals court vacates manslaughter sentence after AI video

An Arizona appeals court vacated the 10.5-year sentence of Gabriel Horcasitas while upholding his manslaughter conviction, first reported by Nytimes. The case returns to Maricopa County Superior Court for resentencing without the video, after judges found that it presented scripted statements as if the victim himself were speaking in court.

The three-judge panel said the video generated a likeness of Christopher Pelkey’s voice and appearance but did not reflect actual events. It found that allowing and relying on the video made the sentencing fundamentally unfair, and noted that no prior Arizona case had addressed the admissibility of such a depiction at sentencing.

The judges said a victim’s right to speak cannot override a defendant’s right to be sentenced on accurate, reliable information. They said the video collapsed the distinction between the family’s belief about what Pelkey would have said and Pelkey’s own voice and opinions.

The ruling distinguishes family members speaking about Pelkey from a generated likeness that appeared to speak for him.

Pelkey’s sister, Stacey Wales, presented the video during Horcasitas’s sentencing alongside victim-impact statements from family and friends. Wales wrote the script and said her husband and the couple’s longtime business partner helped create the video using Pelkey’s voice from a YouTube video and his face and torso from a funeral-service poster.

Judge Todd F. Lang praised the video as genuine, then imposed the maximum sentence of 10.5 years, more than the nine years prosecutors had sought.

Wales said nobody intended to make the court believe Pelkey was alive or that he had recorded the video before his death. She said she disagreed with the ruling and argued that families use slide shows, collages, hypothetical conversations and poetry to convey grief.

Wales compared the AI video with photography, saying it took 15 years of landmark cases around the 1860s before photography was widely accepted in courts.

The case returns to Maricopa County Superior Court for a new sentencing hearing without the AI-generated video.