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

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

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’

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

MIT unveils dexterous robotic hands that can ‘manipulate thousands of objects with ease’

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MIT’s Computer Science and Artificial Intelligence Laboratory has revealed a dexterous robotic hand that scientists say can “manipulate thousands of objects with ease”. (See video below.)

At just one year old, a baby is more dexterous than a robot. Sure, machines can do more than just pick up and put down objects, but we’re not quite there as far as replicating a natural pull towards exploratory or sophisticated dexterous manipulation goes.

OpenAI gave it a try with “Dactyl” (meaning “finger” from the Greek word daktylos), using their humanoid robot hand to solve a Rubik’s cube with software that’s a step towards more general AI, and a step away from the common single-task mentality. DeepMind created “RGB-Stacking,” a vision-based system that challenges a robot to learn how to grab items and stack them.

Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL), in the ever-present quest to get machines to replicate human abilities, created a framework that’s more scaled up: a system that can reorient over two thousand different objects, with the robotic hand facing both upwards and downwards. [Read more…] about MIT unveils dexterous robotic hands that can ‘manipulate thousands of objects with ease’

MIT CSAIL’s robo-starfish enables closer study of aquatic life

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Scientists have invented a ‘robo-starfish’ which give us more insights into aquatic life, as Adam Conner-Simons, or MIT CSAIL, reports. (See video below.)

Biologists have long experienced the challenges of documenting ocean life, with many species of fish proving quite sensitive to the underwater movements of humans.

As a possible solution, computer scientists have been developing special marine robots that can stealthily move among their carbon-based counterparts. In 2018, for example, a team from MIT’s Computer Science and Artificial Intelligence Lab (CSAIL) fabricated a soft robotic fish that autonomously swam with real fish along the coral reefs of Fiji.

However, the complex dynamics of how water moves – and its ability to quickly ruin some perfectly good electronics systems – have made underwater robots especially difficult to develop compared to ones for air or land. [Read more…] about MIT CSAIL’s robo-starfish enables closer study of aquatic life

Autonomous boats could be your next ride

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Five years in the making, MIT’s autonomous floating vessels get an upgrade in size and learn a new way to communicate aboard the waters

The feverish race to produce the shiniest, safest, speediest self-driving car has spilled over into our wheelchairs, scooters, and even golf carts.

Moreover, recently, there’s been movement from land to sea, as marine autonomy stands to change the canals of our cities, with the potential to deliver goods and services and collect waste across our waterways.

In an update to a five-year project from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) and the Senseable City Lab, researchers have been developing the world’s first fleet of autonomous boats for the city of Amsterdam, and have recently added a new, larger vessel to the group: “Roboat II”. (See video below.) [Read more…] about Autonomous boats could be your next ride

MIT adapts Ava Robotics platform to build robot to disinfect Greater Boston Food Bank

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A robot built by MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) has disinfected the Greater Boston Food Bank. (See video below.)

The robot uses ultraviolet-C light to disinfect a warehouse floor “in half an hour”, and could one day be employed in grocery stores, schools, and other spaces.

CSAIL developed the robot in partnership with Ava Robotics and the GBFB, and says the system “powerfully disinfects surfaces and neutralizes aerosolized forms of the coronavirus”. [Read more…] about MIT adapts Ava Robotics platform to build robot to disinfect Greater Boston Food Bank

Brain-computer interfaces: Devices to enable you to control robots with your thoughts

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OpenBCI has launched a new version of its brain-computer interface as well as new electrodes which connect to the device.

The device itself resembles a cycling helmet and measure brainwaves, or electroencephalogram data, to use the technical term.

The company also provides software and a biosensing board, all of which enable users to monitor the electrical activity of their brains.  [Read more…] about Brain-computer interfaces: Devices to enable you to control robots with your thoughts