Algorithm allows 3-D printers to “read ahead” of their programming to boost speeds.
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If you’re unfamiliar with the term, GPS Waypoint Navigation is the ability to provide a robot with a set of GPS waypoints (i.e., a set of latitude / longitude pairs), and have the robot autonomously navigate from its current location to each of the defined waypoints.
3 minutes read
For robots to keep up with the pace of technological innovation, machine learning has become paramount. While robots are already effective at alleviating the manual operation of routine tasks, an intelligent robot should also be able to process their commands with future actions in mind.
4 minutes read
We are announcing the release of our state-of-the-art off-policy model-free reinforcement learning algorithm, soft actor-critic (SAC). This algorithm has been developed jointly at UC Berkeley and Google, and we have been using it internally for our robotics experiment.
Researchers built the first visual SLAM processor on a single chip that provides highly accurate, low-power, and real-time results.
2 minutes read
Advancements in pressurized fluid power systems may hold the key to the next generation of Biomimetic Robots.
Like its predecessor, JackRabbot 2 is learning how to navigate safely through spaces occupied by people, following the rules of human etiquette. What it learns could help it move comfortably among us in the future.
3 minutes read
Mechanical engineering researchers are using AI and machine learning technologies to enhance the products we use in everyday life.
Future cars will be both self-driving and manual. "We wanted to harness technology to enhance drivers’ skills without interfering with the enjoyment of being behind the wheel," explains José del R. Millán, who holds the Defitech Foundation Chair in Brain-Machine Interface (CNBI).
3 minutes read
Infrared spectroscopy is the benchmark method for detecting and analyzing organic compounds.
2 minutes read
Compositions created using database of well-known pop, classical, and jazz artists
3 minutes read
Over the last decade or so, the world of AI has been obsessed with the problem of pattern recognition — Ask any budding engineer “Give me an algorithm to find X in an environment Y”, and expect to hear the words, “Give me T examples in environment Y, and I will predict X with so much accuracy”.
Henrik Christensen shares his views on the impact of the robot revolution and stories from his life in European and US robotics research.
Circuit elements that store information in their electrical resistances enable a brain-like form of computing, storing and processing information in the same place.
4 minutes read
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
