Look, No Hands! NASA’s First Astrobee Robot 'Bumble' Starts Flying in Space
June 24, 2019 | NASAEstimated reading time: 1 minute
On June 14, 2019 a robot named Bumble became the first Astrobee robot to fly under its own power in space. Astrobee is a free-flying robot system that will help researchers test new technologies in zero gravity and perform routine work alongside astronauts aboard the International Space Station. Robots that can operate on their own in space, such as Astrobee, can be caretakers for NASA's lunar gateway and will play a significant part in NASA’s future missions to explore the Moon and Mars.
Before Bumble’s first solo flight, the Astrobee team at NASA’s Ames Research Center in Silicon Valley verified that Bumble can find its position and was ready to navigate within the space station. Canadian Space Agency astronaut David Saint-Jacques provided hands-on help for the pre-flight tests, manually moving Bumble around the Kibo laboratory to allow Astrobee’s navigation system to calibrate to its new surroundings. The navigation system uses a camera to observe the robot’s surroundings and compares what the camera sees to a map of the space station’s interior.
Astrobee robots can move in any direction and turn on any axis in space. Bumble’s first flights tested basic motions, such as "fly 11.8 inches forward" or "rotate 45 degrees to the right." NASA will continue to test Bumble's movement capability through a series of increasingly complex maneuvers to determine how well the robot performs in zero gravity. Results from these tests will be used to tune Astrobee’s propulsion system and help Bumble get ready to assume its role as the newest crewmember on the space station.
Bumble and a second Astrobee, “Honey,” launched to the space station in April. A third robot named “Queen” is scheduled to launch in July.
RELATED VIDEO:
Suggested Items
I-Connect007 Editor’s Choice: Five Must-Reads for the Week
11/29/2024 | Nolan Johnson, I-Connect007If you’re in the U.S. today, odds are you’re at home enjoying the aftermath of a Thanksgiving holiday meal. Let me just say that whether you had a Thanksgiving holiday surrounded by family, friends, or both, I hope it was joyous. If you know someone who doesn’t have friends or family with whom to share this time, please reach out and include them. Chronic loneliness can exact a measurable toll on our mental and physical health. Wherever you are on the globe this holiday season, I encourage you to reach out to someone who might be battling loneliness and connect. It will make a difference to them. Not only will it help get you in the mood for your winter holiday of choice, but it’ll be good for your mental health as well.
33 Million North Americans Used Connected Care Solutions in 2023
11/27/2024 | Berg InsightA new report from the IoT analyst firm Berg Insight has found that around 33.3 million people in North America were using connected care solutions at the end of 2023.
Würth Elektronik Improves and Expands its Balun Series
11/27/2024 | Wurth Elektronik eiSosWürth Elektronik has expanded its WE-BAL series of baluns. The components for coupling symmetrical and asymmetrical transmission lines feature improved materials and manufacturing processes, and now cover wider frequency ranges from 673 MHz to 5900 MHz.
Biden-Harris Administration: CHIPS Incentives Awards with BAE Systems and Rocket Lab
11/27/2024 | U.S. Department of CommerceThe Biden-Harris Administration announced that the U.S. Department of Commerce has finalized two separate awards under the CHIPS Incentives Program’s Funding Opportunity for Commercial Fabrication Facilities.
Is It the Death of the Dashboard?
11/27/2024 | Nolan Johnson, SMT007 MagazineIn 2024, companies are leveraging AI agents to automate data-driven decisions, bypassing the need for specialized data science skills. In this interview with Tim Burke and Jennifer Davis of Arch Systems, they say these AI tools can handle straightforward tasks, significantly improving factory efficiency by addressing numerous small issues. This shift allows existing staff to use data effectively without extensive retraining. Both large and small language models are used to support real-time decisions on the production floor, integrating various data sources to create a comprehensive digital twin of the factory’s operations.