The AirLab had 6 papers accepted into #ICRA2022! We're very excited to see you all there! Read more about the papers here: medium.com/airlabcmu/a-qu…

Today we got to Philly! We will be demoing "Safe and Seamless operation of manned and unmanned aircraft in shared space " at the Intelligent Aerial Robotics workshop at #ICRA2022 tomorrow at noon and at 4pm. Come check it out! #robotics #ros

We are happy to announce that our paper "AirTrack: Onboard Deep Learning Framework for Long-Range Aircraft Detection and Tracking" has been accepted to #ICRA2023 Video: youtu.be/H3lL_Wjxjpw Paper: arxiv.org/pdf/2209.12849…

Can AI share the skies with human pilots? Our recently accepted paper, SORTS, at RA-L, says, “Yes!” We find that human pilots tend to trust other pilots who follow airspace guidelines and behave reasonably, regardless of their belief of whether it is a human or #AI pilot! 🧵👇

Tired of Indoor or ImageNet-style or Urban driving datasets? Want to test your best models on a unique domain? Then look no further! We are excited to share TartanAviation, a large-scale multi-modal aviation dataset repository! theairlab.org/tartanaviation/

Get ready to explore robotics with RoboLaunch! 🚀Our next speaker is Assistant Professor Sylvia Herbert from UC San Diego. 🎉 Tune in this Wednesday 6/26/24, 11:00 AM EDT and join this conversation on our YouTube channel ⏩ Explore Robotics: Education, Research, & Careers.

Some great CMU representation at #RSS2024 🤖🚀 Our researchers are constantly driving amazing advancements in the robotics community! #TartanProud

How to Map 🗺️ It Anywhere? mapitanywhere.github.io The trick is to flip the script from using principally limited self-collected datasets to using readily available worldwide maps. Head over to our website to generate your own data or see our FPV Mapper in action! 🧵👇 1/n

Congratulations to: Ingrid Navarro, Pablo Ortega-Kral, Jay Patrikar, Haichuan Wang, Zelin Ye, Jong Hoon Park, Jean Oh, and Sebastian Scherer —for winning Best Student Paper at the 2024 AIAA Conference! 👏 arxiv.org/pdf/2407.21185

Meet Amelia, our largest dataset and model for multi-agent, multi-airport Aircraft Trajectory Prediction! Introducing “Amelia:  A Large Dataset and Model for Airport Surface Movement Forecasting"! ameliacmu.github.io

New work is out! We explore the use of logic specifications to safeguard against unsafe robot behavior in out-of-distribution scenarios! Collaboration with AV Research Group NVIDIA

New version is out!

Excited about creating robots that know when they don't know and act reliably in challenging environments? We are recruiting PhD students again this cycle to the IRoM Lab Princeton University!

We have an immediate opening for a Research Scientist in our team at Google DeepMind India. If you have experience / are interested in the field of Culturally-aware Multimodal Models to make AI more globally inclusive, please apply. boards.greenhouse.io/deepmind/jobs/…

I’m not looking for students this year but I highly recommend the International Max Plank Research School on Intelligent Systems. Come do your PhD at IMPRS-IS!

IIT Kanpur will now be admitting students into their computer science BTech degree program through Olympiads. - 3 seats through INMO/IMO - 3 seats through INOI/IOI Mark my words this is going to bring a big change in not just ICPC performances of Indian teams but also in Math

Introducing API. A new era of agentic computer use begins today.

Proud to share this! ViSafe has been years in the making—real-time drone-to-drone collision avoidance at 144 km/h using only onboard vision. Excited to present this at RSS 2025!

#ICRA2025 alert! 🚨🥳 Congratulations to Yuheng Qui, 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

Catch our team Parv Kapoor Jay Patrikar AirLab presenting and demoing ViSafe at #RSS2025 tomorrow! We'll be showing our payload demo & high speed aerial collision avoidance results 🚀