Softbank-funded unicorn Zume ran out of dough

A group of high school students in Michigan made good use of their holiday break: they built a toilet paper pyramid. Read the rest

Robotics is tough business. “If you think 2018 was a tough year for robotics companies, 2019 wasn’t any better,” writes Peter Singer. Read the rest

[The moral of this story is buy a Roomba, they last longer and have better software.]

A man and a woman in Forsyth County, North Carolina, called for help just after midnight when they awoke to loud noises and crashing downstairs, and hid in their closet to dial 911. Read the rest

MARTY is the name of this 1981 DeLorean that researchers from Stanford’s Dynamic Design Lab customized into a self-driving electric car. Now, Jon Goh and Tushar Goel have augmented MARTY so it's capable of drifting through a complicated driving course with incredible precision. From Stanford:

Conducting research in high-speed, complicated driving conditions like this is a bread-and-butter approach of the Dynamic Design Lab, where mechanical engineer Chris Gerdes and his students steer autonomous cars into challenging driving situations that only the top human drivers can reliably handle. On-board computers measure the car’s response over dozens of runs, and the engineers translate those vehicle dynamics into software that could one day help your car quickly dodge a pedestrian that darts into the road.

Most automated vehicles on the road have been designed to handle simpler cases of driving, such as staying in a lane or maintaining the right distance from other cars.

“We’re trying to develop automated vehicles that can handle emergency maneuvers or slippery surfaces like ice or snow,” Gerdes said. “We’d like to develop automated vehicles that can use all of the friction between the tire and the road to get the car out of harm’s way. We want the car to be able to avoid any accident that’s avoidable within the laws of physics.”

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A classic robotics video from Boston Dynamics in 2015.

Think of how much more developed the robots are now!

Yikes.

[YouTube] Read the rest

University of Tokyo engineers have taught a robot how to repair itself. Well, they taught it to tighten its own screws. And with that skill, it also was able to self-install a hook for hanging a tote bag from its shoulder. From IEEE Spectrum:

At the moment, the robot can’t directly detect on its own whether a particular screw needs tightening, although it can tell if its physical pose doesn’t match its digital model, which suggests that something has gone wonky. It can also check its screws autonomously from time to time, or rely on a human physically pointing out that it has a screw loose, using the human’s finger location to identify which screw it is. Another challenge is that most robots, like most humans, are limited in the areas on themselves that they can comfortably reach. So to tighten up everything, they might have to find themselves a robot friend to help, just like humans help each other put on sunblock.

And here is their technical paper: "Self-Repair and Self-Extension by Tightening Screws based onPrecise Calculation of Screw Pose of Self-Body with CAD Dataand Graph Search with Regrasping a Driver" Read the rest

Is your brain a machine? Are your thoughts and feelings just malware of the mind? (And what "really" is a machine, anyway?) John and Eva referee the transhumanist fight of the century. In the blue corner, we have Eva meeting founder and Bryan Johnson, CEO of Kernel, straight from his office in LA. And in the red corner, John meets with To Be a Machine author Mark O'Connell in a cafe in Dublin. Time to get out the popcorn! Round One, ding-ding...

The Life Cycle is a production of Klang Games, creator of Seed, the planet colonization MMO -- watch the new trailer here.  Subscribe to The Life Cycle on Apple Podcasts, Google Podcasts, and Spotify. Follow The Life Cycle on Twitter and Instagram. Read the rest

It's historically been tough and slow-going to 3D print objects made from multiple materials. Now, Harvard researchers developed an ingenious nozzle that enables the 3D printer to spew out eight different materials at the resolution of a human hair. To demonstrate the system, they printed fantastic flexible origami structures and even a "soft" robotic millipede from a variety of epoxy and silicone elastomer inks. Mark A. Skylar-Scott, Jochen Mueller, and their colleagues from Harvard's Wyss Institute for Biologically Inspired Engineering presented their work in the scientific journal Nature: "Voxelated soft matter via multimaterial multinozzle 3D printing"

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In Episode 5 of this podcast on the future of humanity, co-host Eva Kelley travels to meet transhumanist pioneer and neurologist Dr. Phil Kennedy, who recently had a brain-computer interface installed in his own head. Dr. Kennedy tells Eva all about that experience (including gory footage from the operation), compares his approach to brain-computer interfaces with those being developed by people like Elon Musk ("they forgot the brain doesn't like electrodes"), and discusses the implications of this technology on human evolution. Eva and co-host John Holten close by reading an excerpt from Dr. Kennedy's self-published novel, which features a sex scene between a life support robot and his longtime wife.

The Life Cycle is a production of Klang Games, creator of Seed, the planet colonization MMO -- watch the new trailer here.  Subscribe to The Life Cycle on Apple Podcasts, Google Podcasts, and Spotify. Follow The Life Cycle on Twitter and Instagram. Read the rest

Inspired by the way plants grow, MIT researchers designed a flexible robot appendage that can work in tight spaces but is rigid enough to support heavy parts or twist tight screws. From MIT News:

The appendage design is inspired by the way plants grow, which involves the transport of nutrients, in a fluidized form, up to the plant’s tip. There, they are converted into solid material to produce, bit by bit, a supportive stem.

Likewise, the robot consists of a “growing point,” or gearbox, that pulls a loose chain of interlocking blocks into the box. Gears in the box then lock the chain units together and feed the chain out, unit by unit, as a rigid appendage...

“The realization of the robot is totally different from a real plant, but it exhibits the same kind of functionality, at a certain abstract level,” (mechanical engineer Harry) Asada says.

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The MIT's Biomimetics lab tested nine Mini Cheetah robots in the institute's Killian Court. Here's the adorable yet uncanny footage. Read the rest

Pushing forward on the vision of "programmable matter," MIT researchers demonstrated a new kind of assembly system based on robots that can collaboratively build complicated structures from small identical pieces. Professor Neil Gershenfeld, graduate student Benjamin Jenett, and their colleagues present their research in a scientific paper titled "Material–Robot System for Assembly of Discrete Cellular Structures." From MIT News:

“What’s at the heart of this is a new kind of robotics, that we call relative robots,” Gershenfeld says. Historically, he explains, there have been two broad categories of robotics — ones made out of expensive custom components that are carefully optimized for particular applications such as factory assembly, and ones made from inexpensive mass-produced modules with much lower performance. The new robots, however, are an alternative to both. They’re much simpler than the former, while much more capable than the latter, and they have the potential to revolutionize the production of large-scale systems, from airplanes to bridges to entire buildings.

According to Gershenfeld, the key difference lies in the relationship between the robotic device and the materials that it is handling and manipulating. With these new kinds of robots, “you can’t separate the robot from the structure — they work together as a system,” he says. For example, while most mobile robots require highly precise navigation systems to keep track of their position, the new assembler robots only need to keep track of where they are in relation to the small subunits, called voxels, that they are currently working on.

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OpenAI Inc. demonstrated a one-handed robot solving a Rubik's Cube. Apparently the real breakthrough in this milestone was teaching the system to do the task in simulation. “While the video makes it easy to focus on the physical robot, the magic is mostly happening in simulation, and transferring things learned in simulation to the real world," writes Evan Ackerman in IEEE Spectrum:

The researchers point out that the method they’ve developed here is general purpose, and you can train a real-world robot to do pretty much any task that you can adequately simulate. You don’t need any real-world training at all, as long as your simulations are diverse enough, which is where the automatic domain randomization comes in. The long-term goal is to reduce the task specialization that’s inherent to most robots, which will help them be more useful and adaptable in real-world applications.

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This soft, inchworm robot changes shape in response to tiny electrical or temperature changes. The power-efficient robot is made from a specialized "programmable" polymer technology that, according to the University of Toronto researchers, could someday lead to lightweight and safer robots but also enable other kinds of smart materials. From EurekAlert!:

"In situations where humans could be in danger -- a gas leak or a fire -- we could outfit a crawling robot with a sensor to measure the harmful environment," explains Naguib. "In aerospace, we could see smart materials being the key to next-generation aircrafts with wings that morph."

Though he points out it will be some time before the world sees morphed-wing aircrafts, the most immediate impact will be seen in wearable technology.

"We're working to apply this material to garments. These garments would compress or release based on body temperature, which could be therapeutic to athletes," says Naguib. The team is also studying whether smart garments could be beneficial for spinal cord injuries.

"In this case, we've trained it to move like a worm," he says. "But our innovative approach means we could train robots to mimic many movements -- like the wings of a butterfly."

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From Catlech's Center for Autonomous Systems and Technology, LEONARDO (LEg ON Aerial Robotic DrOne) is a bipedal robot that's uses dronelike propellers to balance and walk around. Eventually, the propellers will boost LEONARDO's ability to jump. The demo video above was just released. The following is from a February article by Evan Ackerman in IEEE Spectrum:

IEEE Spectrum: Where did the idea for a robot like this come from?

Mory Gharib: For many applications that we’re thinking about for the future, like a flying ambulance project that we have or missions to Mars, there is a huge need for I would say a third party—a robotic partner that can, in very extreme situations, conduct scouting or help people in ways that that either drones or bipedal robots can’t do. That was the whole idea—we need to have a system that basically can defy gravity to go places where other robots cannot. And because this machine is not going to fly in the way that drones do, because it has most of the time its legs are on the ground, it can carry a much heavier battery and payload...

If everything works perfectly, what kinds of capabilities will the robot have?

Soon-Jo Chung: Walking on flat terrain, walking, running, and jumping to overcome small obstacles by using the lift generated by the propellers. And it should be able to in a very soft and stable fashion land after it jumps or flies. The ultimate form of demonstration for us will be to build two of these Leonardo robots and then have them play tennis or badminton.

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Spot, the robot dog from Boston Dynamics, is now for sale. Sort of. From IEEE Spectrum:

But don’t pull out your credit card just yet. Spot may cost as much as a luxury car, and it is not really available to consumers. The initial sales, described as an “early adopter program,” is targeting businesses. Boston Dynamics wants to find customers in select industries and help them deploy Spots in real-world scenarios.

“What we’re doing is the productization of Spot,” Boston Dynamics CEO Marc Raibert tells IEEE Spectrum. “It’s really a milestone for us going from robots that work in the lab to these that are hardened for work out in the field.”

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