Robotics & Automation News

Where Innovation Meets Imagination

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MIT research: Using generative AI to help robots jump higher and land better

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By Alex Shipps, digital strategy coordinator, MIT Computer Science & Artificial Intelligence Laboratory

Diffusion models like OpenAI’s DALL-E are becoming increasingly useful in helping brainstorm new designs.

Humans can prompt these systems to generate an image, create a video, or refine a blueprint, and come back with ideas they hadn’t considered before.

But did you know that generative artificial intelligence (AI) models are also making headway in creating working robots? Recent diffusion-based approaches have generated structures and the systems that control them from scratch. [Read more…] about MIT research: Using generative AI to help robots jump higher and land better

Foundation EGI launches AI platform to streamline engineering and manufacturing processes

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MIT spin-out aims to tackle $8 trillion in industrial inefficiencies with engineering-focused AI platform

A new startup out of MIT, Foundation EGI, has emerged from stealth mode with a mission to apply domain-specific artificial intelligence to one of the most complex and least-digitized sectors of the global economy: manufacturing.

The company today unveiled what it calls the first Engineering General Intelligence (EGI) platform – an AI system designed to automate and optimize every phase of product lifecycle management.

The platform is currently being piloted by several Fortune 500 manufacturers, who are exploring its potential to reduce production delays, cut waste, and drive revenue growth. [Read more…] about Foundation EGI launches AI platform to streamline engineering and manufacturing processes

MIT reveals bug-sized flying robot that could help pollinate plants

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By Adam Zewe, MIT News

With a more efficient method for artificial pollination, farmers in the future could grow fruits and vegetables inside multilevel warehouses, boosting yields while mitigating some of agriculture’s harmful impacts on the environment.

To help make this idea a reality, MIT researchers are developing robotic insects that could someday swarm out of mechanical hives to rapidly perform precise pollination. However, even the best bug-sized robots are no match for natural pollinators like bees when it comes to endurance, speed, and maneuverability.

Now, inspired by the anatomy of these natural pollinators, the researchers have overhauled their design to produce tiny, aerial robots that are far more agile and durable than prior versions. [Read more…] about MIT reveals bug-sized flying robot that could help pollinate plants

Can robots learn from ‘machine dreams’?

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Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory used AI-generated images to train a robot dog in parkour, without real-world data.

Parkour is a non-competitive physical discipline where participants move through an environment using their bodies to overcome obstacles – basically like navigating an obstacle course.

CSAIL’s LucidSim system demonstrates the potential of GenAI – generative AI, or generative AI – for creating relevant robotics training data, enabling expert-level performance in complex tasks like obstacle navigation and stair climbing. [Read more…] about Can robots learn from ‘machine dreams’?

Drones navigate unseen environments with liquid neural networks

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MIT researchers exhibit a new advancement in autonomous drone navigation, using brain-inspired liquid neural networks that excel in out-of-distribution scenarios

In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation: drones.

But these aren’t your typical flying bots, humming around like mechanical bees. Rather, they’re avian-inspired marvels that soar through the sky, guided by liquid neural networks to navigate ever-changing and unseen environments with precision and ease.

Inspired by the adaptable nature of organic brains, researchers from MIT’s Computer Science and Artificial Intelligence Laboratory introduced a method for robust flight navigation agents to master vision-based fly-to-target tasks in intricate, unfamiliar environments. [Read more…] about Drones navigate unseen environments with liquid neural networks

Electric Future: MIT showcases electric autonomous boat technology

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If you like the idea of zero-emissions travel on the water, an electric autonomous boat might be the right mode of transportation for you.

Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Laboratory, together with Amsterdam Institute for Advanced Metropolitan Solutions (AMS Institute) in the Netherlands, have been showcasing the final project in their self-navigating trilogy: a full-scale, fully autonomous robotic boat that’s ready to be deployed along the canals of Amsterdam.

“Roboat” has come a long way since the team first started prototyping small vessels in the MIT pool in late 2015. Last year, the team released their half-scale, medium model that was 2 meters long and demonstrated promising navigational prowess.

This year, two full-scale Roboats were launched, proving more than just proof-of-concept: these craft can comfortably carry up to five people, collect waste, deliver goods, and provide on-demand infrastructure. [Read more…] about Electric Future: MIT showcases electric autonomous boat technology

MIT demonstrates reprogrammable materials that ‘selectively self-assemble’

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By Rachel Gordon, MIT CSAIL

While automated manufacturing is ubiquitous today, it was once a nascent field birthed by inventors such as Oliver Evans, who is credited with creating the first fully automated industrial process, in a flour mill he built and gradually automated in the late 1700s.

The processes for creating automated structures or machines are still very top-down, requiring humans, factories, or robots to do the assembling and making.

However, the way nature does assembly is ubiquitously bottom-up; animals and plants are self-assembled at a cellular level, relying on proteins to self-fold into target geometries that encode all the different functions that keep us ticking. [Read more…] about MIT demonstrates reprogrammable materials that ‘selectively self-assemble’

MIT device is converting carbon dioxide to oxygen – on Mars

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On the red and dusty surface of Mars, nearly 100 million miles from Earth, an instrument the size of a lunchbox is proving it can reliably do the work of a small tree.

The MIT-led Mars Oxygen In-Situ Resource Utilization Experiment, or MOXIE, has been successfully making oxygen from the Red Planet’s carbon-dioxide-rich atmosphere since April 2021, about two months after it touched down on the Martian surface as part of NASA’s Perseverance rover and Mars 2020 mission.

In a study published today in the journal Science Advances, researchers report that, by the end of 2021, MOXIE was able to produce oxygen on seven experimental runs, in a variety of atmospheric conditions, including during the day and night, and through different Martian seasons. In each run, the instrument reached its target of producing six grams of oxygen per hour – about the rate of a modest tree on Earth. [Read more…] about MIT device is converting carbon dioxide to oxygen – on Mars

Soft assistive robotic wearables get a boost from rapid design tool

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Scientists created a new design and fabrication tool for soft pneumatic actuators with integrated sensing, which can power personalized healthcare, smart homes, and gaming.

Soft, pneumatic actuators might not be a phrase that comes up in daily conversations, but more likely than not you might have benefited from their utility. The devices use compressed air to power motion, and with sensing capabilities, they’ve proven to be a critical backbone in a variety of applications such as assistive wearables, robotics, and rehabilitative technologies.

But there’s a bit of a bottleneck in creating the little dynamic devices that have advantages like high response rates and power to input ratios. They require a manual design and fabrication pipeline, which translates to a lot of trial and error cycles to actually test and see whether the designs will work. [Read more…] about Soft assistive robotic wearables get a boost from rapid design tool

How the MIT mini cheetah learns to run

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By Rachel Gordon, MIT CSAIL

CSAIL scientists came up with a learning pipeline for the four-legged robot that learns to run entirely by trial and error in simulation (see video below)

It’s been roughly 23 years since one of the first robotic animals trotted on the scene, defying classical notions of our cuddly four-legged friends.

Since then, a barrage of the walking, dancing, and door-opening machines have commanded their presence, a sleek mixture of batteries, sensors, metal, and motors. [Read more…] about How the MIT mini cheetah learns to run