Congratulations to the recipients of the inaugural RI Graduate Student Awards, which celebrate excellence in research, teaching, mentorship, & community engagement! 👏🏆

See the full list of winners and honorable mentions on our Facebook: www.facebook.com/share/p/1KBF...

#TartanProud #CMUrobotics

Congratulations to Senior Systems Scientist Matt Travers and his students for winning "Best Academic/Research Institute Technology Demonstration" at the 2025 Ground Vehicles Systems Engineering and Technology Symposium (GVSETS)!🔥

#CMUrobotics

In Flight With NASA: CMU Tests Space Tech in Microgravity - Robotics Institute Carnegie Mellon University Carnegie Mellon University faculty and students recently experienced something few ever have: weightlessness. Aboard a plane that follows an unusual flight path – steep climbs followed by dramatic div...

✈️ RI's Mitch Fogelson and Zac Manchester put their research to the test in zero gravity as part of a NASA Flight Opportunities campaign with Zero-G!

They worked to create foldable structures for space deployment 🚀 #CMUrobotics

Read and watch below:
www.ri.cmu.edu/in-flight-wi...

Robots may struggle in cluttered scenes due to challenging occlusions 🤖🚧

RaySt3R is a new foundation model that predicts the full 3D geometry from a single view! 👇👇

#CMUrobotics

#ICRA2025 alert! 🚨🥳

Congratulations to Yuheng Qiu, Yutian Chen, Zihao Zhang, Wenshan Wang, and Sebastian Scherer on winning the Best Conference Paper Award for:

"MAC-VO: Metrics-Aware Covariance for Leaning-Based Stereo Visual Odometry"! #CMUrobotics

arxiv.org/abs/2409.09479

A team from Ji Zhang's lab at RI teamed up with @nrec.bsky.social to develop an off-road autonomous vehicle powered by their onboard autonomy software stack. See it in action on rugged trails! #CMUrobotics 💥🙌

Learn more about their autonomous exploration work: loom.ly/A_10H4E

News alert!🚨

The TartanDriver team at the AirLab created a new self-supervised autonomy stack that enables vehicles to safely traverse complex terrains with speed & accuracy without human intervention #CMUrobotics

Read about this incredible work: www.ri.cmu.edu/taking-auton...

🛻🌳 Autonomous Off-Road Driving – No Labels, No Prior Map, & No GPS! Our self-supervised stack enables an ATV to navigate forests, snow, & nighttime. (1/5)

More details: theairlab.org/offroad/
Full video: youtu.be/7t4EQj8BIdY

#cmurobotics #robotics #autonomy
@cmurobotics.bsky.social

Innovative Algorithm Enhances Robot Tracking for High-Precision Manipulation Tasks - Robotics Institute Carnegie Mellon University RI Ph.D student Hung-Jui (Joe) Huang and his advisors Michael Kaess and Wenzhen Yuan introduced NormalFlow, a real-time tactile-based 6DoF (degrees of freedom) tracking algorithm.

Ph.D. student Hung-Jui (Joe) Huang introduced NormalFlow, a real-time tactile-based 6DoF tracking algorithm! It enables reliable handling of low-texture objects while also benefiting other objects with more robust & accurate tracking. Read more below! #CMURobotics

www.ri.cmu.edu/innovative-a...

CMU Robotics Institute Videos from the Carnegie Mellon University's Robotics Institute. The RI is part of the Carnegie Mellon University School of Computer Science.

Heads up‼️ RI seminars are back underway for the spring semester! 🌷🤖

You can find the latest recorded talks from Andrea Bajcsy and Aaron Johnson on the CMU RI YouTube channel. Keep an eye out for more! ⬇️ #CMURobotics

www.youtube.com/@cmurobotics