@icaroslab

Interactive and Collaborative Autonomous Robotic Systems

 USC
icaros.usc.edu
Joined February 2021
  • Tweets44
  • Following15
  • Followers114
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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 🧵
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ICAROS Lab retweeted
shihanzh@shihan_zh29 May 2025
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: arxiv.org/abs/2505.20712
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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
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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
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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: arxiv.org/pdf/2409.04711
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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.
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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: scim.ag/4Q9
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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: arxiv.org/abs/2205.10752 pdf: arxiv.org/pdf/2205.10752.pdf code: github.com/icaros-usc/cma_ma…
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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 👉 tinyurl.com/yc8bjhrs @USCViterbi @icaroslab
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Another awesome visit at @NASAJPL this year with the USC REU Robotics students!
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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: arxiv.org/abs/2305.06436 Code: github.com/lunjohnzhang/ware…

Multi-Robot Coordination and Layout Design for Automated Warehousing

With the rapid progress in Multi-Agent Path Finding (MAPF), researchers have studied how MAPF algorithms can be deployed to coordinate hundreds of robots in large automated warehouses. While most...

arxiv.org
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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) 👇🧵
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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: arxiv.org/abs/2304.13787 [1/7]
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We are excited to announce the first workshop on Environment Generation for Generalizable Robots (EGG) at #RSS2023 (sites.google.com/usc.edu/egg…)! Consider submitting if you are working in any area relevant to environment generation for robotics. Submissions due on May 17, 2023, AoE.
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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!
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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: viterbischool.usc.edu/news/2…

Robots Predict Human Intention for Faster Builds - USC Viterbi | School of Engineering

In a new paper, USC computer science researchers "teach" robots how to predict human preferences in assembly tasks.

viterbischool.usc.edu
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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: pyribs.org GitHub: github.com/icaros-usc/pyribs
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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 cs.usc.edu/reu/
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Excited to share work with @tehqin17 @AniruddhaKalkar @snikolaidis19 “Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing” arXiv: arxiv.org/abs/2210.02622 Supplemental Website: scalingcmamae.github.io Code: github.com/icaros-usc/scalin…
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I am thrilled to be appointed as a Fluor Early Career Chair @USCViterbi! Thanks to my amazing students @icaroslab, whose work this recognition celebrates.
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