The moonshot of many roboticists is cooking up the proper hardware and software combination so that a machine can learn “generalist” policies (the rules and strategies that guide robot behavior) that work everywhere, under all conditions.
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ORGANIZATIONS. SHAPING THE INDUSTRY.
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In this episode, we discuss how a talented team of researchers from Stanford university have created a robotic platform capable of imitation learning for conducting over 850 common tasks, including searing shrimp!
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More integrated, higher-performance microcontrollers (MCUs) enable higher power efficiency and smoother and safer motion with much higher accuracy, therefore increasing productivity and automation.
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In this project, we will configure the AMD Kria™ KR260 Robotics Starter Kit to control a Trossen Robotics ReactorX 150 robot arm. This complex robot arm uses ROBOTIS DYNAMIXEL servos, which contain not only motors but also microcontrollers and networking capability.
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Stanford engineers created a low-cost, mobile robot that quickly learned to sautée shrimp, put away dishes, and clean up spills. Other tasks aren't far behind.
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In this episode, we discuss how a team from Carnegie Mellon University spearheading non-invasive brain computer interface solutions has had a significant breakthrough in improving their accuracy.
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Achieving a noteworthy milestone to advance noninvasive brain-controlled interfaces, researchers used AI technology to improve the decoding of human intention and control a continuously moving virtual object all by thinking about it, with unmatched performance.
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In this episode, we talk about how a fashion company spun-off from MIT has developed the world’s first truly one-size-fits-all garment.
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Understanding the inception, evolution, composition, and types of pick and place robots and their impact on various industrial sectors
Developed by the Self-Assembly Lab, the 4D Knit Dress uses several technologies to create a custom design and a custom fit, while addressing sustainability concerns.
In this episode, we delve into the cognitive strategies employed by researchers at EPFL to augment the human body with an additional robotic arm and learn about the profound impact of cognitive enhancements on the integration of advanced robotic limbs
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EPFL scientists show that breathing may be used to control a wearable extra robotic arm in healthy individuals, without hindering control of other parts of the body.
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Researchers at CMU combined two vision foundational models—models trained on large visual data sets—to help a robot arm recognize the shape and the type of fruit and vegetable slices.
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Modern robots know how to sense their environment and respond to language, but what they don’t know is often more important than what they do know. Teaching robots to ask for help is key to making them safer and more efficient.
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By blending 2D images with foundation models to build 3D feature fields, a new MIT method helps robots understand and manipulate nearby objects with open-ended language prompts.
