ICAROS Lab

Interactive and Collaborative Autonomous Robotic Systems

[Bryon Tjanaka @btjanaka]

Pyribs v0.8.0 is now available! @pyribs v0.8.0 adds support for new algorithms (Novelty Search, BOP-Elites, and Density Descent Search), while making it easier than ever to design new ones 🧠 Here are the highlights 🧵

[shihanzh @shihan_zh]

Excited to share my new work on extending the SOTA QD algorithm CMA-MAE to multi-objective optimization, done in collaboration with @snikolaidis19 and with valuable insights from @tehqin17. It will be presented at GECCO 2025 🎉 [1/8]

arXiv: https://t.co/cuBJWqRM6U

[Nathan Dennler @ndennler]

User-aligned robot representations are best learned from user data, but how do we collect this data without onerous labeling processes?

We can learn from data that users are ✨intrinsically motivated✨ to produce through exploratory search 🔎!
🧵1/6

[USC Thomas Lord Department of Computer Science @CSatUSC]

Congratulations @snikolaidis19 for receiving an Okawa Foundation Research Grant for his pioneering work in "simulating diverse human behaviors for robust human-robot interaction" 👏

@OkawaFoundation @USCViterbi @USCAdvComputing

[Stefanos Nikolaidis @snikolaidis19]

This review paper summarizes part of the work done in the ICAROS lab over the past few years, placing it within a general framework and highlighting future directions: https://t.co/gbU9oJrp1b

[ALOE Workshop @aloeworkshop]

As AI becomes more ubiquitous, human-AI collaboration will become more important than ever. Our invited speaker, Stefanos Nikolaidis @snikolaidis19, professor at @USC, is a key innovator in this area, especially with respect to human-robot collaboration.

[Science Robotics @SciRobotics]

To evaluate arm non-use in affected limbs of hemispheric stroke recovery patients undergoing rehabilitation, researchers created a new robot-based clinical quantification metric. @ndennler @snikolaidis19 @icaroslab @USC

Read more in Science #Robotics: https://t.co/ud2E4UUNQz

[Matt Fontaine @tehqin17]

I'm excited to announce my work with @snikolaidis19 on Covariance Matrix Adaptation MAP-Annealing has been nominated for best paper in the EML track @GeccoConf 2023!

abs: https://t.co/9Y8kHsQ43H
pdf: https://t.co/UWrG33RbR3
code: https://t.co/2mRkmuSIHj

[USC Thomas Lord Department of Computer Science @CSatUSC]

Big congratulations to @CSatUSC PhD student Nathan Dennler and his @QueerinAI co-authors who recently won the best paper award at the ACM @FAccTConference! 🏳️‍🌈

Read Nathan's story 👉 https://t.co/2b6b88oWol

@USCViterbi @icaroslab

[Stefanos Nikolaidis @snikolaidis19]

Another awesome visit at @NASAJPL this year with the USC REU Robotics students!

[Yulun Zhang @LunJohnZhang]

Excited to share a new paper “Multi-Robot Coordination and Layout Design for Automated Warehousing” with @tehqin17, @vbhatt_cs, @snikolaidis19, @JiaoyangLi9, accepted as a full paper in @IJCAIconf!

arXiv: https://t.co/0mD0tfTxQq
Code: https://t.co/HdgNEUAEKA

[Sumeet Batra @SumeetBt]

I’m excited to announce a very cool project I've been working on that combines DQD with PPO to scale QD-RL to massively parallel simulation!  In collaboration with @btjanaka @tehqin17 @petrenko_ai @snikolaidis19 @gauravsukhatme (1/4) 👇🧵

[Varun Bhatt @vbhatt_cs]

Excited to share our new work “Surrogate Assisted Generation of Human-Robot Interaction Scenarios” done in collaboration with @herambnemlekar, @tehqin17, @btjanaka, @Hejia_Zhang_, @SophieHsu13, and @snikolaidis19.

arXiv: https://t.co/3iKKCGYWEB [1/7]

[Varun Bhatt @vbhatt_cs]

We are excited to announce the first workshop on Environment Generation for Generalizable Robots (EGG) at #RSS2023 (https://t.co/QDUtyWWxPC)! Consider submitting if you are working in any area relevant to environment generation for robotics. Submissions due on May 17, 2023, AoE.

[Stefanos Nikolaidis @snikolaidis19]

Honored to be one of the three finalists of the Bodossaki Foundation @bodossaki Distinguished Young Scientists Award in Applied Science and congrats to @syrgkanis for winning!

[Stefanos Nikolaidis @snikolaidis19]

Rather than learning user preferences from demonstrations on an actual task, we can learn informative preference priors from demonstrations on a shorter, canonical task! Very nice article about this work: https://t.co/9K5DSx2b0B

[Bryon Tjanaka @btjanaka]

We are excited to announce the release of @pyribs v0.5.0! Pyribs v0.5.0 brings a slew of new features, tutorials, and improvements!

Installation: pip install ribs (our Conda package will be ready in a week or two)
Website: https://t.co/a8oLLICoR7
GitHub: https://t.co/0ufRXe01IO

[Stefanos Nikolaidis @snikolaidis19]

The USC REU Site in Robotics and Autonomous Systems in now accepting applications! The 10-week summer research program is fully funded and it will include a trip to NASA JPL and other social events https://t.co/PGiVcVmiSa

[Bryon Tjanaka @btjanaka]

Excited to share work with @tehqin17 @AniruddhaKalkar @snikolaidis19 “Training Diverse High-Dimensional Controllers by
Scaling Covariance Matrix Adaptation MAP-Annealing”

arXiv: https://t.co/GKSVwnfu5S
Supplemental Website: https://t.co/bT8NxUacgE
Code: https://t.co/s4Dk0oDjFc

[Stefanos Nikolaidis @snikolaidis19]

I am thrilled to be appointed as a Fluor Early Career Chair @USCViterbi! Thanks to my amazing students @icaroslab, whose work this recognition celebrates.