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

Dexterous robots are moving from CMU labs to real-world industries with support from the National Science Foundation!

For Altus Dexterity, this means moving beyond prototypes to pilot programs + partnerships where dexterous robots can shine. ☀️🤖

Read more about it below:

bit.ly/4gP9H09

🚨CMU Vision-Language-Autonomy update 1: The team released a video to "find the refrigerator in the lounge"–– they are looking for new PhD/Master's to work on long-horizon navigation & instruction!

Contact Ji Zhang for more info: bit.ly/3Kgvm5a

Watch the vid in normal speed on our YouTube channel!

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

Congrats to Changliu Liu, who received International Federation of Automatic Control (IFAC) Robotics Outstanding Young Researcher Award! 🎉

The award recognizes the critical applications of her work in human-robot collaborations. Read more below! 👇

bit.ly/4f2bGNM

Congrats to RI Ph.D. Benjamin Attal, RI assistant professor Matthew O'Toole & co-authors from the University of Toronto
& the Vector Institute for winning the CVPR 2025 Best Student Paper award! 🙌

Check out the winning work: "Neural Inverse Rendering from Propagating Light" 💡🏆

loom.ly/2dS1PJw

And then there were 2! #ICRA2025 Congrats to He, Yutong, Rishi, Tanishq, Guillaume, & Jiaoyang for winning the Best Paper Award on Multi-Robot Systems🏅🤩

"Deploying Ten Thousand Robots: Scalable Imitation Learning for Lifelong Multi-Agent Path Finding"

arxiv.org/abs/2410.21415

#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

Appleseed labs, a team from Kantor Lab, won the Excellence in Regenerative Agriculture award at the 2025 Farm Robotics Challenge! 🌽🏆👏

Their autonomous reforestation robot demonstrated outstanding commitment to environmental sustainability and overall ecosystem health.

Learn more: loom.ly/dw8v3h0

A team of 15 students from Carnegie Mellon University have won the 2025 MITRE Embedded Capture the Flag (eCTF) security competition– CMU’s fourth straight win! 🏆👏

Congrats to these amazing scholars! Learn about this year's team and eCTF competition: www.ri.cmu.edu/cmu-scores-f...

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

CMU Vision-Language-Autonomy update: The team just released SORT3D, the first general spatial relation toolbox for autonomous vision-language navigation that is fully integrated into real-robot systems! 🤖👀

Simulation and real-robot data is provided!: github.com/nzantout/SOR...

Congratulations to AirLab's Tartan Air Rescue for being named both a Stage 1 Winner and a US University Innovation Award Winner of the GoAero Prize! @airlabcmu.bsky.social #TartanProud

Learn more about Tartan Air Rescue and the competition: loom.ly/TtGh914

GoAero video: loom.ly/1vHBWYk

As part of the ongoing Vision-Language-Autonomy project, CMU researchers have developed a general navigation platform with an onboard autonomy stack to support Vision-Language-Navigation. It functions in simulation and on real robots 🤖💥

Check it out! github.com/jizhang-cmu/...

Strong CMU RI representation at #neurips2024 🦾 We're always proud of our researchers and the dedication they bring to the field! #TartanProud