New submitter know-nothing cunt shares a report from The Register: Scientists from Rice University in Texas have used a dead spider as an actuator at the end of a robot arm — a feat they claim has initiated the field of “necrobotics.” “Humans have relied on biotic materials — non-living materials derived from living organisms — since their early ancestors wore animal hides as clothing and used bones for tools,” the authors state in an article titled Necrobotics: Biotic Materials as Ready-to-Use Actuators. The article, published by Advanced Science, also notes that evolution has perfected many designs that could be useful in robots, and that spiders have proven especially interesting. Spiders’ legs “do not have antagonistic muscle pairs; instead, they have only flexor muscles that contract their legs inwards, and hemolymph (i.e., blood) pressure generated in the prosoma (the part of the body connected to the legs) extends their legs outwards.”

The authors had a hunch that if they could generate and control a force equivalent to blood pressure, they could make a dead spider’s legs move in and out, allowing them to grip objects and release them again. So they killed a wolf spider “through exposure to freezing temperature (approximately -4C) for a period of 5-7 days” and then used a syringe to inject the spider’s prosoma with glue. By leaving the syringe in place and pumping in or withdrawing glue, the researchers were able to make the spider’s legs contract and grip. The article claims that’s a vastly easier way to make a gripper than with conventional robotic techniques that require all sorts of tedious fabrication and design efforts. “The necrobotic gripper is capable of grasping objects with irregular geometries and up to 130 percent of its own mass,” the article notes.

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Major League Baseball plans to introduce robot umpires in the 2024 season, MLB Commissioner Rob Manfred told ESPN this week. The Verge reports: He framed the change as a way to speed up games, but anyone who’s watched baseball the last few years will tell you that a machine would almost certainly call balls and strikes better than the humans do. There are two ways the “Automated Ball-Strike System,” which is the technical term for these robot umpires, might be implemented. One is the fully automated version, in which the AI-powered system calls every pitch a ball or a strike and relays the call to the umpire. Or the MLB could decide to use the AI as a review system, like VAR in soccer or the Hawk-Eye system used in professional tennis: each side gets a certain number of challenges, which are then adjudicated by the automated system.

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Dyson has revealed that it has an entire division that’s secretly been developing robot prototypes that do household chores. Engadget reports: The company didn’t detail any of the models in particularly, but many look like regular robot arms adapted to do specialized home chores like cleaning and tidying. One appeared to be designed to vacuum out the seat cushions, mapping an armchair out in detail to do the job. “So this means I’ll never, ever find crisps around the back of my sofa again?” the company’s chief engineer, Jake Dyson, asked a researcher in a video (here).

Another robot was putting away dishes or at least placing them in a drying rack, and another was grasping a teddy bear, presumably picking up after a child. Dyson also showed off a “Perception Lab” that was all about robotic vision systems, detecting its environment and mapping humans with sensors, cameras and thermal imaging systems. Dyson is currently on a recruiting drive, looking for around 700 engineers, which is one reason it finally decided to show off the lab (located at Hullavington Airfield, Wiltshire in the UK) after keeping it under wraps.

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Midwestern fast-food chain White Castle is outsourcing some of its jobs to robots. The hamburger chain announced plans last week to install Miso Robotics’ “Flippy 2” in 100 locations. From a report: The Ohio-based chain has been experimenting with the robotic fry cook since September 2020, when the original “Flippy” was installed in a Chicago area restaurant. After upgrading to “Flippy 2” at the original test location in November 2021, White Castle decided to roll out a larger version of the program. “By taking over the work of an entire fry station, Flippy 2 alleviates the pain points that come with back-of-house roles at quick-service restaurants to create a working environment for its human coworkers that maximizes the efficiency of the kitchen,” Miso Robotics said in a statement. “The improved workflow allows for the redeployment of team members to focus on creating memorable moments for customers.”

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Stretch is a new robot from Boston Dynamics that can move approximately 800 heavy boxes per hour. As IEEE Spectrum reports, it’s part of “a new generation of robots with the intelligence and flexibility to handle the kind of variation that people take in stride.” From the report: Stretch’s design is somewhat of a departure from the humanoid and quadrupedal robots that Boston Dynamics is best known for, such as Atlas and Spot. With its single massive arm, a gripper packed with sensors and an array of suction cups, and an omnidirectional mobile base, Stretch can transfer boxes that weigh as much as 50 pounds (23 kilograms) from the back of a truck to a conveyor belt at a rate of 800 boxes per hour. An experienced human worker can move boxes at a similar rate, but not all day long, whereas Stretch can go for 16 hours before recharging. And this kind of work is punishing on the human body, especially when heavy boxes have to be moved from near a trailer’s ceiling or floor.

“Truck unloading is one of the hardest jobs in a warehouse, and that’s one of the reasons we’re starting there with Stretch,” says Kevin Blankespoor, senior vice president of warehouse robotics at Boston Dynamics. Blankespoor explains that Stretch isn’t meant to replace people entirely; the idea is that multiple Stretch robots could make a human worker an order of magnitude more efficient. “Typically, you’ll have two people unloading each truck. Where we want to get with Stretch is to have one person unloading four or five trucks at the same time, using Stretches as tools.” All Stretch needs is to be shown the back of a trailer packed with boxes, and it’ll autonomously go to work, placing each box on a conveyor belt one by one until the trailer is empty. People are still there to make sure that everything goes smoothly, and they can step in if Stretch runs into something that it can’t handle, but their full-time job becomes robot supervision instead of lifting heavy boxes all day.

Stretch is optimized for moving boxes, a task that’s required throughout a warehouse. Boston Dynamics hopes that over the longer term the robot will be flexible enough to put its box-moving expertise to use wherever it’s needed. In addition to unloading trucks, Stretch has the potential to unload boxes from pallets, put boxes on shelves, build orders out of multiple boxes from different places in a warehouse, and ultimately load boxes onto trucks, a much more difficult problem than unloading due to the planning and precision required. […] Boston Dynamics spent much of 2021 turning Stretch from a prototype, built largely from pieces designed for Atlas and Spot, into a production-ready system that will begin shipping to a select group of customers in 2022, with broader sales expected in 2023. For Blankespoor, that milestone will represent just the beginning. He feels that such robots are poised to have an enormous impact on the logistics industry.

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The company announced today that its Everyday Robots Project — a team within its experimental X labs dedicated to creating “a general-purpose learning robot” — has moved some of its prototype machines out of the lab and into Google’s Bay Area campuses to carry out some light custodial tasks. The Verge reports: “We are now operating a fleet of more than 100 robot prototypes that are autonomously performing a range of useful tasks around our offices,” said Everyday Robot’s chief robot officer Hans Peter Brondmo in a blog post. “The same robot that sorts trash can now be equipped with a squeegee to wipe tables and use the same gripper that grasps cups can learn to open doors.”

These robots in question are essentially arms on wheels, with a multipurpose gripper on the end of a flexible arm attached to a central tower. There’s a “head” on top of the tower with cameras and sensors for machine vision and what looks like a spinning lidar unit on the side, presumably for navigation. As Brondmo indicates, these bots were first seen sorting out recycling when Alphabet debuted the Everyday Robot team in 2019. The big promise that’s being made by the company (as well as by many other startups and rivals) is that machine learning will finally enable robots to operate in “unstructured” environments like homes and offices.

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