π¦Όπ€ Sneak peek: Beyond our own ATV autonomy results, we have also been pushing towards:
1. More challenging scenarios (Nighttime)
2. More robot platforms (quadruped & urban wheelchair) (5/5)
08.04.2025 18:49 β π 2 π 0 π¬ 0 π 0
ποΈ What powers all this: multi-modal data, which we provide to everyone through TartanDrive 2.0, a large-scale off-road driving dataset for self-supervised learning tasks. Check out the data here: theairlab.org/TartanDrive2/ (4/5)
08.04.2025 18:49 β π 3 π 1 π¬ 2 π 0
πSince there is no prior map or GPS, our system relies on SLAM to track position and build a local understanding of the environment in real-time, enabling consistent perception across diverse terrains.
See the voxel grid from our SLAM point cloud colored by VFM features (3/5)
08.04.2025 18:49 β π 1 π 0 π¬ 1 π 0
π§ 3 key principles: Self-supervised, Multi-modality, and Uncertainty Awareness.
Our system uses multi-modality (LiDAR+camera) data and learns by itself where to go (traversability) while balancing risk (uncertainty) and performance with inverse reinforcement learning. (2/5)
08.04.2025 18:49 β π 2 π 0 π¬ 1 π 0
YouTube video by AirLab
Autonomous Offroad Driving: A Full Run of Self-supervised, Multi-modal, Uncertainty-aware Autonomy
π»π³ Autonomous Off-Road Driving β 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
08.04.2025 18:49 β π 8 π 6 π¬ 1 π 2
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
13.02.2025 16:08 β π 5 π 3 π¬ 0 π 0
Excited to announce MapEx is accepted to ICRA 2025! π
π€π΅οΈββοΈHow can a robot explore to build accurate maps without seeing everything?
mapex-explorer.github.io
We explore by jointly reasoning on prediction uncertainty and potential sensor coverage using multiple map predictions of unseen areas. 1/n
10.02.2025 17:02 β π 3 π 1 π¬ 1 π 2
PhD student at Carnegie Mellon Robotics Institute.
I work on task learning for household robots.
He/Him.
http://mrinal.verghese.org
PhD student at @cmurobotics.bsky.social working on interactive algorithms for agentic alignment (e.g. imitation/RLHF). no model is an island. https://gokul.dev/.
PhD Student @cmurobotics.bsky.social with @jeff-ichnowski.bsky.social || DUSt3R Research Intern @naverlabseurope || 4D Vision for Robot Manipulation π·
He/Him - https://bart-ai.com
Assistant Professor of Robotics at CMU, Engineer, Spacecraft Hacker.
The School of Computer Science at Carnegie Mellon University is one of the world's premier institutions for CS and robotics research and education. We build useful stuff that works!
Where the future begins. ππ¬ One of the worldβs leading universities for technology & natural sciences. Posts in both English and German.
www.ethz.ch
Assistant Professor of the Generative Intelligence Lab at Carnegie Mellon University. Understanding and creating pixels. All the code and models are available at http://github.com/junyanz.
PhD student @ CMU Robotics Institute | Olin 24β
Working on dynamic manipulation, controls, optimization.
Working on robot learning @uwcse. https://mateoguaman.com/
AI, robotics, and other stuff. Currently AI @ agility robotics
Former Hello Robot, NVIDIA, Meta.
Writing about robots https://itcanthink.substack.com/
All opinions my own
Robotics/Perception Prof at Georgia Tech; Chief AI Officer at Verdant Robotics. Stints at Skydio, B*8, Reality Labs, Google Research. https://dellaert.github.io
Research scientist, computer vision and robotics for agriculture. she/her. Largely not checking this account or posting about work at the moment.
https://amytabb.com/
Close-ish to Washington, D.C., USA.
Assistant Professor at #VirginiaTech
Creating intelligent robots that reason about their environment and the humans within them through hybrid AI π
Assistant Prof, CS@Mines
Aerial and multiple robots; autonomous filming, mapping, perception
Enjoys: π§ββοΈπ΄ββοΈπΈπΆπ€
Ursula Le Guin stan. Call me on my ansible.
He/him pronouns πππ
Opinions my own.
https://www.micahcorah.com/
Associate Professor at UMD CS. YouTube: https://youtube.com/@jbhuang0604
Interested in how computers can learn and see.
Assistant Professor @Princeton. Developing robots that learn and plan to help people. Prev: @Cornell, @MIT, @Harvard.
https://tomsilver.github.io/
Carnegie Mellon University PhD REx Lab & IDI Group
Robotics | AI | Cog-sci | Physics Simulations
Ph.D. Student at Carnegie Mellon,
Student Research at Google
Formerly Applied Science Intern Amazon, Undergrad at Delhi Technological University
π Foundation Models for Structured Data (Time Series, Tabular), applications in healthcare.