Pikul Servo Powered Falling Dominoes Pushing a Cube

Domino Row Goes With The Flow

May 30, 2022 by Michael Shaub 1 Comment

Around here, we’re always excited about a new actuator design. Linear actuators are particularly hard to make cheap, fast, and good, so it’s even better when something new that we can build ourselves slides onto the scene.

Researchers at U Penn’s Pikul Research Group took inspiration from the cascade of falling dominoes for an innovative take on linear motion. This article on IEEE Spectrum describes the similarity of the sequential tipping-over with the peristaltic motion of biological systems, including you, swallowing right now.

The motion propagation in falling dominoes, called a Soliton Wave, can be harnessed to push an object at the front of the wave, just like a surfer. See the videos after the break for examples of simple setups that any of us could recreate with laser-cut or 3D printed parts. Maybe you won’t be using them to help a robot swallow (a terrifying idea that the article suggests), but you might need a conveyor or a novel way to help a device crawl like a shrimp. The paper is behind a paywall on IEEE, though you readers likely see enough in the videos to get started, and we can’t wait to see where your dominoes will lead us next.

SMORES Robot Finds Its Own Way To The Campfire

November 2, 2018 by Roger Cheng 2 Comments

Robots that can dynamically reconfigure themselves to adapt to their environments offer a promising advantage over their less dynamic cousins. Researchers have been working through all the challenges of realizing that potential: hardware, software, and all the interactions in between. On the software end of the spectrum, a team at University of Pennsylvania’s ModLab has been working on a robot that can autonomously choose a configuration to best fit its task at hand.

We’ve recently done an overview of modular robots, and we noted that coordination and control are persistent challenges in this area. The robot in this particular demonstration is a hybrid: a fixed core module serving as central command, plus six of the lab’s dynamic SMORES-EP modules. The core module has a RGB+Depth camera for awareness of its environment. A separate downwards-looking camera watches SMORES modules for awareness of itself.

Combining that data using a mix of open robot research software and new machine specific code, this team’s creation autonomously navigates an unfamiliar test environment. While it can adapt to specific terrain challenges like a wood staircase, there are still limitations on situations it can handle. Kudos to the researchers for honestly showing and explaining how the robot can get stuck on a ground seam, instead of editing that gaffe out to cover it up.

While this robot isn’t the completely decentralized modular robot system some are aiming for, it would be a mistake to dismiss based on that criticism alone. At the very least, it is an instructive step on the journey offering a tradeoff that’s useful on its own merits. And perhaps this hybrid approach will find application with a modular robot close to our hearts: Dtto, the winner of our 2016 Hackaday Prize.

[via Science News]

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[Vijay Kumar’s] TED Talk On The State Of Quadcopter Research

March 9, 2012 by Mike Szczys 22 Comments

[Vijay Kumar] is a professor at the University of Pennsylvania and the director of the GRASP lab where research centering around autonomous quadcopters is being met with great success. If you were intrigued by the video demonstrations seen over the last few years, you won’t want to miss the TED talk [Dr. Kumar] recently gave on the program’s research. We touched on this the other week when we featured a swarm of the robots in a music video, but there’s a lot more to be learned about what this type of swarm coordination means moving forward.

We’re always wondering where this technology will go since all of the experiments we’ve seen depend on an array of high-speed cameras to give positional feedback to each bot in the swarm. The image above is a screenshot taken about twelve minutes into the TED talk video (embedded after the break). Here [Dr. Kumar] addresses the issue of moving beyond those cameras. The quadcopter shown on the projection screen is one possible solution. It carries a Kinect depth camera and laser rangefinder. This is a mapping robot that is designed to enter an unknown structure and create a 3D model of the environment.

The benefits of this information are obvious, but this raises one other possibility in our minds. Since the robots are designed to function as an autonomous swarm, could they all be outfitted with cameras, and make up the positional-feedback grid for one another? Let us know what you think about it in the comments section.

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