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Video Friday: Loco-Manipulation



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

Eurobot Open 2024: 8–11 May 2024, LA ROCHE-SUR-YON, FRANCE
ICRA 2024: 13–17 May 2024, YOKOHAMA, JAPAN
RoboCup 2024: 17–22 July 2024, EINDHOVEN, NETHERLANDS
Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

In this work, we present LocoMan, a dexterous quadrupedal robot with a novel morphology to perform versatile manipulation in diverse constrained environments. By equipping a Unitree Go1 robot with two low-cost and lightweight modular 3-DoF loco-manipulators on its front calves, LocoMan leverages the combined mobility and functionality of the legs and grippers for complex manipulation tasks that require precise 6D positioning of the end effector in a wide workspace.

[ CMU ]

Thanks, Changyi!

Object manipulation has been extensively studied in the context of fixed-base and mobile manipulators. However, the overactuated locomotion modality employed by snake robots allows for a unique blend of object manipulation through locomotion, referred to as loco-manipulation. In this paper, we present an optimization approach to solving the loco-manipulation problem based on nonimpulsive implicit-contact path planning for our snake robot COBRA.

[ Silicon Synapse Lab ]

Okay, but where that costume has eyes is not where Spot has eyes, so the Spot in the costume can’t see, right? And now I’m skeptical of the authenticity of the mutual snoot-boop.

[ Boston Dynamics ]

Here’s some video of Field AI’s robots operating in relatively complex and unstructured environments without prior maps. Make sure to read our article from this week for details!

[ Field AI ]

Is it just me, or is it kind of wild that researchers are now publishing papers comparing their humanoid controller to the “manufacturer’s” humanoid controller? It’s like humanoids are a commodity now or something.

[ OSU ]

I, too, am packing armor for ICRA.

[ Pollen Robotics ]

Honey Badger 4.0 is our latest robotic platform, created specifically for traversing hostile environments and difficult terrains. Equipped with multiple cameras and sensors, it will make sure no defect is omitted during inspection.

[ MAB Robotics ]

Thanks, Jakub!

Have an automation task that calls for the precision and torque of an industrial robot arm…but you need something that is more rugged or a nonconventional form factor? Meet the HEBI Robotics H-Series Actuator! With 9x the torque of our X-Series and seamless compatibility with the HEBI ecosystem for robot development, the H-Series opens a new world of possibilities for robots.

[ HEBI ]

Thanks, Dave!

This is how all spills happen at my house too: super passive-aggressively.

[ 1X ]

EPFL’s team, led by Ph.D. student Milad Shafiee along with coauthors Guillaume Bellegarda and BioRobotics Lab head Auke Ijspeert, have trained a four-legged robot using deep-reinforcement learning to navigate challenging terrain, achieving a milestone in both robotics and biology.

[ EPFL ]

At Agility, we make robots that are made for work. Our robot Digit works alongside us in spaces designed for people. Digit handles the tedious and repetitive tasks meant for a machine, allowing companies and their people to focus on the work that requires the human element.

[ Agility ]

With a wealth of incredible figures and outstanding facts, here’s Jan Jonsson, ABB Robotics veteran, sharing his knowledge and passion for some of our robots and controllers from the past.

[ ABB ]

I have it on good authority that getting robots to mow a lawn (like, any lawn) is much harder than it looks, but Electric Sheep has built a business around it.

[ Electric Sheep ]

The AI Index, currently in its seventh year, tracks, collates, distills, and visualizes data relating to artificial intelligence. The Index provides unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, journalists, executives, and the general public to develop a deeper understanding of the complex field of AI. Led by a steering committee of influential AI thought leaders, the Index is the world’s most comprehensive report on trends in AI. In this seminar, HAI Research Manager Nestor Maslej offers highlights from the 2024 report, explaining trends related to research and development, technical performance, technical AI ethics, the economy, education, policy and governance, diversity, and public opinion.

[ Stanford HAI ]

This week’s CMU Robotics Institute seminar, from Dieter Fox at Nvidia and the University of Washington, is “Where’s RobotGPT?”

In this talk, I will discuss approaches to generating large datasets for training robot-manipulation capabilities, with a focus on the role simulation can play in this context. I will show some of our prior work, where we demonstrated robust sim-to-real transfer of manipulation skills trained in simulation, and then present a path toward generating large-scale demonstration sets that could help train robust, open-world robot-manipulation models.

[ CMU ]

Video Friday: Robot Dog Can’t Fall



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

RoboCup German Open: 17–21 April 2024, KASSEL, GERMANY
AUVSI XPONENTIAL 2024: 22–25 April 2024, SAN DIEGO
Eurobot Open 2024: 8–11 May 2024, LA ROCHE-SUR-YON, FRANCE
ICRA 2024: 13–17 May 2024, YOKOHAMA, JAPAN
RoboCup 2024: 17–22 July 2024, EINDHOVEN, NETHERLANDS
Cybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

I think suggesting that robots can’t fall is much less useful than instead suggesting that robots can fall and get quickly and easily get back up again.

[ Deep Robotics ]

Sanctuary AI says that this video shows Phoenix operating at “human-equivalent speed,” but they don’t specify which human or under which conditions. Though it’s faster than I would be, that’s for sure.

[ Sanctuary AI ]

“Suzume” is an animated film by Makoto Shinkai, in which one of the characters gets turned into a three-legged chair:

Shintaro Inoue from JSK Lab at the University of Tokyo has managed to build a robotic version of that same chair, which is pretty impressive:


[ Github ]

Thanks, Shintaro!

Humanoid robot EVE training for home assistance like putting groceries into the kitchen cabinets.

[ 1X ]

This is the RAM—robotic autonomous mower. It can be dropped anywhere in the world and will wake up with a mission to make tall grass around it shorter. Here is a quick clip of it working on the Presidio in SF.

[ Electric Sheep ]

This year, our robots braved a Finnish winter for the first time. As the snow clears and the days get longer, we’re looking back on how our robots made thousands of deliveries to S Group customers during the colder months.

[ Starship ]

Agility Robotics is doing its best to answer the (very common) question of “Okay, but what can humanoid robots actually do?”


[ Agility Robotics ]

Digit is great and everything, but Cassie will always be one of my favorite robots.

[ CoRIS ]

Adopting omnidirectional Field of View (FoV) cameras in aerial robots vastly improves perception ability, significantly advancing aerial robotics’s capabilities in inspection, reconstruction, and rescue tasks. We propose OmniNxt, a fully open-source aerial robotics platform with omnidirectional perception.

[ OmniNxt ]

The MAkEable framework enhances mobile manipulation in settings designed around humans by streamlining the process of sharing learned skills and experiences among different robots and contexts. Practical tests confirm its efficiency in a range of scenarios, involving different robots, in tasks such as object grasping, coordinated use of both hands in tasks, and the exchange of skills among humanoid robots.

[ Paper ]

We conducted trials of Ringbot outdoors on a 400 meter track. With a power source of 2300 milliamp-hours and 11.1 Volts, Ringbot managed to cover approximately 3 kilometers in 37 minutes. We commanded its target speed and direction using a remote joystick controller (Steam Deck), and Ringbot experienced five falls during this trial.

[ Paper ]

There is a notable lack of consistency about where exactly Boston Dynamics wants you to think Spot’s eyes are.

[ Boston Dynamics ]

As with every single cooking video, there’s a lot of background prep that’s required for this robot to cook an entire meal, but I would utterly demolish those fries.

[ Dino Robotics ]

Here’s everything you need to know about Wing delivery drones, except for how much human time they actually require and the true cost of making deliveries by drone, because those things aren’t fun to talk about.

[ Wing ]

This CMU Teruko Yata Memorial Lecture is by Agility Robotics’ Jonathan Hurst, on “Human-Centric Robots and How Learning Enables Generality.”

Humans have dreamt of robot helpers forever. What’s new is that this dream is becoming real. New developments in AI, building on foundations of hardware and passive dynamics, enable vastly improved generality. Robots can step out of highly structured environments and become more human-centric: operating in human spaces, interacting with people, and doing some basic human workflows. By connecting a Large Language Model, Digit can convert natural language high-level requests into complex robot instructions, composing the library of skills together, using human context to achieve real work in the human world. All of this is new—and it is never going back: AI will drive a fast-following robot revolution that is going to change the way we live.

[ CMU ]

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