Instead of optimizing multi-agent planners, we optimize warehouses to make coordination easier! This is probably my favorite application of environment generation recently! And the best part? We are completely agnostic to the chosen MAPF planner!

I've been working on principled methods for predicting failures for several years now. One challenge is convincing people this is a challenging technical problem to work on and a priority to study. It's both and we need entire labs focused on this problem!

I'm honored to be selected to the cohort for #RSSPioneers2023. If you are at Robotics: Science and Systems, stop by the workshop today and come say hello! Or stop by my poster later in the week!

At #RSS2023? Interested in how generating environments can make it easier to obtain more robust and capable robots? Come check out the Environment Generation Generalizable Robotics (EGG) workshop today in room 321B! sites.google.com/usc.edu/egg-rs…

We had a really great panel discussion today at the EGG workshop at #RSS2023 with Jeff Clune Aleksandra Faust Tim Rocktäschel Mark Riedl Deepak Pathak! Thank you to the speakers, the attendees, and my co-organizers for making today's workshop interesting and valuable!

#RSS2023 was my first in person robotics conference and was great! Now I'm in Lisbon for #GECCO2023! GECCO is always an exciting conference because the field seems to be moving so fast. Come say hi!

Our work on HRI scenario generation has been accepted at #CoRL 2023 for an oral presentation! Huge thanks to the reviewers and the area chairs for the detailed feedback, and I am excited to share this work with the robotics community at Conference on Robot Learning .

Excited to share a new paper “Arbitrarily Scalable Environment Generators via Neural Cellular Automata” with Matt Fontaine, Varun Bhatt, Stefanos Nikolaidis, Jiaoyang Li, accepted to #NeurIPS2023! Paper:arxiv.org/abs/2310.18622 Website:yulunzhang.net/publication/zh… Code:github.com/lunjohnzhang/w…

Balanced synthetic datasets can help to train fair classifiers: introducing our work “Quality-Diversity Generative Sampling”, accepted to #AAAI24 (main)! arxiv.org/abs/2312.14369 w/ Matt Fontaine, @SerenaLBooth, Maja Mataric, and Stefanos Nikolaidis

I just got tenure! I could not have asked for better students, better mentors and collaborators, and a more supportive department than USC CS. I am also grateful for the enthusiastic support of the HRI / QD / Open-Endedness academic communities.

Ecstatic to announce the release of pyribs 0.7.1! The absolute highlight of this release is the QDHF (Quality Diversity through Human Feedback) tutorial contributed by Li Ding! The tutorial is available here and runs on Google Colab in ~1 hour: docs.pyribs.org/en/stable/tuto…

I'm a little late in posting this, but I'm excited to announce that I've defended! Thank you to my PhD Committee Stefanos Nikolaidis Julian Togelius Gaurav Sukhatme and S.K. Gupta! I have no idea what's next, but I'm feeling optimistic about the future.

I finally have an academic website: tehqin.github.io 🥳🥳🥳

Just reached 1000 citations! 🥳 Thank you to everyone who found our work during my PhD useful. ❤️ scholar.google.com/citations?user…

Matt Matt Fontaine won a USC Ph.D. Achievement Award. Nathan Nathan Dennler is a Best USC Viterbi Dissertation Award finalist. And I am the proud advisor!