Mac Schwager (@macschwager) 's Twitter Profile
Mac Schwager

@macschwager

I build robots that safely and intelligently interact with each other and with humans. I am a professor at Stanford, where I lead the Multi-robot Systems Lab.

ID: 1339098228608753664

calendar_today16-12-2020 06:43:28

86 Tweet

612 Followers

113 Following

Amanda Prorok (@aprorok) 's Twitter Profile Photo

Check out our upcoming workshop on Multi-Robot Learning at #ICRA23! We have a super exciting line-up of speakers. Send us your submissions to feature in our spotlight and poster sessions! Deadline approaching: April 15. sites.google.com/cam.ac.uk/mult… Chris Amato Angela Schoellig (hiring PhDs/postdocs/engineers)

Marco Pavone (@drmapavone) 's Twitter Profile Photo

The Stanford University Aero/Astro Department is hiring! The Department invites applications for a tenure track faculty position at the Assistant or untenured Associate Professor level. More info here tinyurl.com/3fr82usw. Deadline: December 4, 2023. Stanford Engineering

Mac Schwager (@macschwager) 's Twitter Profile Photo

Stanford Aero-Astro has an open search for tenure-track junior level faculty. Please apply, and pass this on to friends and colleagues who may be looking. See Marco's tweet for links and details. 👇

Mac Schwager (@macschwager) 's Twitter Profile Photo

We use Conformal Prediction (CP) to obtain rigorous statistical performance guarantees for diffusion policies. We also include a CP-inspired quantile loss during training to further improve robustness of the policy. We call it PlanCP. Check it out at NeurIPS.

Mac Schwager (@macschwager) 's Twitter Profile Photo

I'm very excited about this project surveying recent literature on foundation models in robotics. Congratulations to Roya Firoozi on her leadership and vision in bringing the efforts of the awesome co-authors together into a comprehensive survey.

Zhenjun Zhao (@zhenjun_zhao) 's Twitter Profile Photo

Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps Timothy Chen, Ola Shorinwa, Weijia Zeng, Joseph Bruno, Philip Dames, Mac Schwager tl;dr: computationally efficient collision checker; GSplat map->point cloud arxiv.org/pdf/2403.02751…

Splat-Nav: Safe Real-Time Robot Navigation in Gaussian Splatting Maps

Timothy Chen, Ola Shorinwa, Weijia Zeng, Joseph Bruno, Philip Dames, <a href="/MacSchwager/">Mac Schwager</a> 

tl;dr: computationally efficient collision checker; GSplat map-&gt;point cloud

arxiv.org/pdf/2403.02751…
MrNeRF (@janusch_patas) 's Twitter Profile Photo

Touch-GS: Visual-Tactile Supervised 3D Gaussian Splatting Project: armlabstanford.github.io/touch-gs Paper: arxiv.org/pdf/2403.09875…

Stanford MSL (@stanfordmsl) 's Twitter Profile Photo

How much should you trust your robot? Check out our latest paper, where we place sample-efficient confidence bounds on the performance of robots in OOD environments. Project page: tri-ml.github.io/stochastic_ver… ArXiv: arxiv.org/abs/2405.05439

Tyler Lum (@tylerlum23) 's Twitter Profile Photo

It was a pleasure working with🤝with Albert Li, Preston Culbertson, Krishnan Srinivasan, Aaron Ames, Mac Schwager, and Jeannette Bohg! 💻Website: tinyurl.com/getagrip-corl 📰Paper: arxiv.org/abs/2410.23701 👩‍💻Code+Dataset: github.com/tylerlum/get_a… 📷Visualize the Dataset: get-a-grip.streamlit.app

Mac Schwager (@macschwager) 's Twitter Profile Photo

Want a modular, interpretable alternative to VLAs? Check out Splat-MOVER, which uses language embedded, editable GSplats for open vocabulary multi-stage manipulation. Congrats to Ola Shorinwa, John Tucker, and the rest of an amazing team.👇

Mac Schwager (@macschwager) 's Twitter Profile Photo

Can dexterous multi-fingered policies transfer from sim to real? Yes!...using grasp evaluators trained on a big enough dataset. 👇

Mac Schwager (@macschwager) 's Twitter Profile Photo

Stanford Aero-Astro is hiring! We have an open-rank faculty search this year. Find the full job posting here: aa.stanford.edu/get-involved/o…

MrNeRF (@janusch_patas) 's Twitter Profile Photo

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps Contributions: • We introduce a semantics-grounded feature extraction and matching method for GSplat map registration, centering the registration problem on feature-rich regions and

SIREN: Semantic, Initialization-Free Registration of Multi-Robot Gaussian Splatting Maps

Contributions:
• We introduce a semantics-grounded feature extraction and matching method for GSplat map registration, centering the registration problem on feature-rich regions and
Mac Schwager (@macschwager) 's Twitter Profile Photo

Robot diffusion policies are so powerful because of their awesome action generalization capabilities...right??? Nope, quite the opposite.👇

Mac Schwager (@macschwager) 's Twitter Profile Photo

For robots to learn to collaborate with other robots and humans, they need to predict others' latent states. They need a latent theory of mind. 👇