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New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
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New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
Featured
A new machine learning model can save engineers time and computation resources by using AI to quickly and accurately predict simulation results.
Featured
Wearables have enjoyed a meteoric rise in popularity in recent years to the point that one in four of us now wear a smart connected device. Fifteen years ago, it was one in 100 people. This growth in ownership has been driven to an extent by convenience and integration.
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TAGGED WITH machine learning
This new approach adapts to decide which robots should get the right of way at every moment, avoiding congestion and increasing throughput.
A team that included Chongzie Zhang from McKelvey Engineering developed a method that allows robots to teach other robots with different features to perform the same task.
New AI system lets robots work faster than their human teachers without sacrificing accuracy.
Nakahira received a Young Investigator Award from the Japan Science and Technology Agency for developing a machine that builds autonomous systems.
TAGGED WITH motion capture systems
with Xsens motion capture
With Xsens MVN Animate
Latest Posts
New machine learning framework bridges the embodiment gap between robots and humans and enables quadrupedal robots to perform versatile movements like pouring soda, organizing shoes, and even cleaning up cat litter.
A new machine learning model can save engineers time and computation resources by using AI to quickly and accurately predict simulation results.
3 minutes read
Wearables have enjoyed a meteoric rise in popularity in recent years to the point that one in four of us now wear a smart connected device. Fifteen years ago, it was one in 100 people. This growth in ownership has been driven to an extent by convenience and integration.
4 minutes read
AI has made incredible recent progress, but voice assistants are still plagued by the rigidity and lack of contextual awareness they launched with years ago. For most, voice remains an interface of last resort, reserved for occasionally pulling up directions or playing a song on a smart speaker.
7 minutes read
MIT engineers used a machine-learning model to design nanoparticles that can deliver RNA to cells more efficiently.
Build vs buy in computer vision: discover why no-code platforms like Matroid cut deployment time, trim maintenance, and free engineers for innovation.
High frequency radio waves can wirelessly carry the vast amount of data demanded by emerging technology like virtual reality, but as engineers push into the upper reaches of the radio spectrum, they are hitting walls. Literally.
4 minutes read
While outdoor navigation using GPS technology is seamlessly integrated into everyday life, effective indoor navigation still presents a challenge. GPS signals are typically weaker or even non-existent inside large buildings, shopping malls, hospitals, airports, and industrial complexes.
3 minutes read
Storage systems from Cloudian, co-founded by an MIT alumnus, are helping businesses feed data-hungry AI models and agents at scale.
Open ad-hoc categorization approach combines language guidance with visual clustering to learn contextualized features for flexible image interpretation.
4 minutes read
New research shows automatically controlling vehicle speeds to mitigate traffic at intersections can cut carbon emissions between 11 and 22 percent.
Artificial intelligence shows researchers that pollution increases may be more likely following natural hazards.
3 minutes read
EPFL researchers are developing robotic beehive frames that help locate honey stores inside of beehives over time, without relying on cameras. The aim is to develop new observation tools to study honeybee behavior that better fit the bees' natural way to occupy space compared to current methods.
3 minutes read
Neural Jacobian Fields, developed by MIT CSAIL researchers, can learn to control any robot from a single camera, without any other sensors.
Did you miss ATCx AI for Engineers 2025? Catch up on key insights, real-world AI use cases, and how the event showcased AI's growing role in transforming engineering workflows, design, and smart manufacturing.
