ClankerVids is a site that collects large numbers of robot-failure videos into categories such as Fails, Humanoids Eating It, Robot Dogs Being Weird and Factory Chaos. It also runs a daily Robot Digest and trending sections.

Instead of treating robot fails as clips you happen to encounter on social media, the site organizes them as a video genre to search, categorize and browse intentionally.

Camera with Digital Film lets you physically pull the captured image out of the camera as a cartridge. A Raspberry Pi 3 A+ and 5 MP camera write each shot to a removable module containing a 1.54-inch four-color e-paper display.

The cartridge can then be displayed as a physical photograph. Because it is e-paper, the image remains visible without power and can later be overwritten. Modern digital hardware brings back one very specific analog pleasure: taking the picture out of the camera.

Larger robot vacuums can struggle to fit beneath furniture and into other tight spaces. Roomba Duo tackles that problem with a large cleaning robot that carries a smaller companion robot and lowers it to the floor using a mechanical arm on top. iRobot presented the two-robot system as a concept at IFA 2026.

The main unit handles regular vacuuming and mopping, while the roughly 8.35 cm-tall companion can enter places the larger robot cannot. Both share the same home map, dividing the job between two machines of different sizes.

Library for Ants is a storage device where a tiny robotic mechanism physically carries 12 microSD cards and inserts them into a reader one by one. Instead of switching solid-state storage electronically, it deliberately moves the media itself.

Maker svofski describes it as a robot that wants to grow up to become a tape library. It is essentially an old large-scale storage behavior carefully transplanted onto one of today's smallest memory formats.

Learning biped robots are going to fall. With a full-size humanoid, each failure can mean more damage to the machine and its surroundings. Microduck approaches that problem by being a roughly 25 cm-tall, sub-800 gram biped small enough for falls to be much less dramatic. Built by Pollen Robotics as a research and development platform, it carries 15 motors, a camera, LiDAR and IMUs and is intended for sim-to-real learning workflows.

It can walk, kick, grab objects with its beak and get itself back up after falling. It can even roller-skate, choosing manageable scale rather than pretending experimental robots never fail.

If a toothbrush is going to target the gaps between teeth precisely, it first needs to see exactly where the liquid should go. CameraJet tackles that with a roughly 100,000-pixel macro camera, machine-learning-assisted gap detection and a targeted liquid jet. Dyson introduced the device in September 2026, and a live view of the mouth can be displayed through the MyDyson app.

To keep the camera's view clear, the system also uses specially designed low-foaming toothpaste. Adding imaging, recognition and liquid control to brushing turns even the toothpaste into part of the system design.

Whenever birds call outside, Fugleramme uses AI to identify them and displays only recently heard species as 19th-century illustrations on an e-paper frame. The Norway-based project runs BirdNET-Go on a Raspberry Pi 5.

Modern audio recognition works behind the scenes, while the visible result looks like an old natural-history book. Digital detections are transformed into a quiet, daily-changing bird guide for the immediate surroundings.

At the World Humanoid Robot Games, a humanoid attempting a weightlifting event lifted the barbell, toppled forward and crashed into the judges' table. The failed lift was dramatic enough, but what followed made the scene look even more like a conventional sports broadcast.

Staff picked up the fallen machine, placed it on a stretcher and carried it away. From competition failure to post-incident removal, the sequence accidentally mirrored the familiar rhythm of an injured athlete leaving the field.

In Chicago's Lincoln Park, more than a dozen delivery robots clustered together on a sidewalk and appeared unable to move past one another. Coco said a deployment error caused multiple units to reroute at the same time, briefly creating the group.

Autonomous machines intended to make delivery more efficient ended up reproducing a familiar human systems problem: too many agents trying to use the same route at once.

Practicing badminton alone creates a simple problem: someone still needs to feed the shuttlecocks. This machine solves it by putting a compact Denso VS050 industrial robot arm in charge of shuttle delivery.

A pneumatic gripper picks one shuttlecock from a hopper and carefully feeds it between two high-speed spinning discs for launch. Even metal 3D-printed parts are involved, turning the everyday lack of a practice partner into something closer to a factory automation cell.

Palmimo DevKit is a tabletop AI robot that lets LLM tool calls map directly to physical actions such as walking, waving and turning its head. With six legs plus a neck, it has 21 degrees of freedom, along with a Raspberry Pi 5 and a round display face.

The warm wooden exterior is designed to feel approachable, and motions can be called from Python. Technically it is a physical-AI development kit; visually it can look like a small piece of furniture that decided to move around.

Making a robot feel alive is not only about faces or voices; whole-body motion can matter too. MOFU (MOrphing Fluffy Unit) explores that idea with a fluffy spherical body that expands and contracts. Developed by researchers at the University of Electro-Communications, it uses a Jitterbug geometric structure and a single linear actuator to change its height from roughly 210 mm to 280 mm.

In user studies, adding whole-body expansion, contraction and rotation made the robot seem more animate than locomotion alone. Rather than relying on a face, MOFU uses the rhythm of its entire body to suggest life.