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Robotic Servicing Mission Launches with NASA Support
Following its liftoff from Cape Canaveral on July 21 aboard a SpaceX Falcon 9 rocket, the Mission Robotic Vehicle (MRV) hosting the NASA-supported Robotic Servicing of Geosynchronous Satellites (RSGS) payload is now en route to geosynchronous Earth orbit, where it will use its advanced robotics to service spacecraft.
RSGS leverages in-space robotics expertise from NASA, aligned with the agency’s broader goals to advance U.S. capabilities for in-space servicing, assembly, and manufacturing that can be applied to space commerce and exploration.

Funded by the Defense Advanced Research Projects Agency (DARPA), the RSGS program uses twin dexterous robotic arms designed and developed by the U.S. Naval Research Laboratory. DARPA provided the robotic arm assembly for integration onto Northrop Grumman’s MRV, the nation’s first multi-mission robotic in-space servicer. The spacecraft will inspect and upgrade satellites in orbit by installing small propulsion modules – called mission extension pods – extending the operational life of existing spacecraft for years.
RSGS brings together government agencies and industry to test advanced robotic systems in space. NASA’s Goddard Space Flight Center in Greenbelt, Maryland, began supporting the RSGS mission in 2024 under an interagency agreement with DARPA.
NASA’s contributions to the mission leverage its legacy of servicing missions including the Hubble Space Telescope servicing missions and the Robotic Refueling Missions on the International Space Station. NASA support to RSGS program includes the development of dynamic simulation and analysis tools, software analysis for performance verification, and a team of flight robot operators who will support highly technical procedures in orbit. Hundreds of satellites are in geosynchronous orbit. Of those, fully functional satellites are often decommissioned early because they run out of fuel or their equipment becomes obsolete. RSGS establishes a critical U.S. capability to extend the lifetime of spacecraft in orbit, allowing for more innovative and cost-effective mission designs.
By Colleen Wouters
NASA’s Goddard Space Flight Center, Greenbelt, Md.
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Effortlessly clean your pool this summer with Beatbot’s robotic pool cleaners
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Teleoperated Humanoid Robots Reach Live Surgery Milestone
UC San Diego's Surgie humanoid robots performed two live gallbladder surgeries on pigs, showing how adaptable robots could safely work in future hospitals.
The post Teleoperated Humanoid Robots Reach Live Surgery Milestone appeared first on TechRepublic.
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The post Teleoperated Humanoid Robots Reach Live Surgery Milestone appeared first on TechRepublic.
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Over the past year, we've seen a plethora of new announcements in a category labeled "world models," and you'll likely see more movement there in the coming months and years.
Instead of or in addition to working with language, world models aim to lay the groundwork for AI systems that are capable of simulating the physical world, or at least a useful approximation of it.


© Aurich Lawson | Getty Images
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Giving machines the ability to communicate nonverbally has real value, and [Drew Smith] clearly thinks your robot deserves better than an emoji. He shared a very interesting approach with his project Kindalive.
Kindalive is a simulated dot-matrix robot face that responds believably to input text, modeling and expressing both short-term and long-term moods. It’s pure Python and modular enough to invite using it elsewhere, but that’s not the really interesting part.
What sets [Drew]’s project apart is the way he models eight key neurochemicals (including dopamine and cortisol) as the foundation from which to derive emotional states. That’s an approach we certainly haven’t seen before.
Conventional sentiment analysis uses a large language model (LLM) to apply discrete labels to communication, but Kindalive doesn’t do that. It even goes so far as to model the decay and interplay between its simulated neurochemicals to derive emotional states on the fly. It’s more fluid and organic, and reflects both short-term and long-term mood changes.
Physical representation of the emotional mix is done by altering twelve key facial movements (brow raise, lip corner pull, mouth open, and others of that nature) known as the Facial Action Coding System (FACS). These twelve elements combine to express emotion nonverbally with facial expressions. It’s what drives the simulated dot-matrix robot face seen in the image above, and could easily be used to drive a real LED matrix, or servos on an animatronic face.
Much of communication is nonverbal. Humans even weigh nonverbal higher when there’s a mismatch between the content of verbal and nonverbal communication. So, there’s clear value in having robots able to express themselves as such.
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The post AI Breakthroughs, Security Breaches, and Industry Shakeups Define the Week appeared first on TechRepublic.
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The post AI Breakthroughs, Security Breaches, and Industry Shakeups Define the Week appeared first on TechRepublic.
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But that future hinges on developing increasingly autonomous robots powered by modern artificial intelligence—an ambitious vision that has motivated many researchers to become startup founders while also attracting billions of dollars in investment.
“When I started maybe about 15 years ago, I led a project team that was focused on autonomy, but in that era, the goal of that team was to just get a robot to navigate from point A to point B,” said Matt Malchano, vice president of software at the robotics company Boston Dynamics based in Waltham, Massachusetts. “And now, when we think of autonomy, we think of this huge space of tasks and things that we can imagine a robot doing on its own.”


© Agility Robotics
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© Agility Robotics