The Cognitive Optimization and Relational Robotics Lab at the Georgia Institute of Technology, focusing on research in all things robotics and optimal learning.
Joined January 2020
- Tweets 174
- Following 23
- Followers 508
- Likes 224
22 Photos and videos
19 Sep 2025
Big congratulations to our very own Zulfiqar Zaidi for winning the “Most Cited First Author Paper” award from Georgia Tech’s Woodruff School of Mechanical Engineering! 🏆📄 Your hard work and impact are truly inspiring! 🎉
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13 Mar 2025
Want to learn more about advances in agile robots?🦾🤖Make sure to check out this exciting workshop
at #ICRA25!
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CORE Robotics Lab retweeted
23 Dec 2024
Out some of their latest work, see these papers:
-Diffusion for multi-agent systems:
arxiv.org/abs/2307.06244
-Diffusion for robotics
arxiv.org/abs/2409.15528
-VLMs for CAD Code Design:
arxiv.org/pdf/2410.05340
-LLMs for Alignment in Planning
arxiv.org/abs/2208.08374
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CORE Robotics Lab retweeted
23 Dec 2024
Delighted to cap this year off holding @Seancye and @Pradyumna_T. Their legacy for the @core_robotics is immense, pioneering work on generative AI (diffusion models and LLMs). Your leadership will be missed. @zoox and Toyota Research Institute are lucky to have you! To check…
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CORE Robotics Lab retweeted
13 Dec 2024
How can everyday users teach robots to perform complex, long-horizon tasks (e.g., meal prep) without relying on robotics experts for help? Our latest study published in #IJRR tackles this challenge, paving the way for more accessible human-robot collaboration. A 🧵...
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11 Nov 2024
Congrats to CORE Lab member Manisha Natarajan for having her abstract titled "Adaptive Agents for Mixed-Initiative Human-AI Collaboration" accepted to @RealAAAI 2025! She will be presenting her work at the poster session in February!🤖🎉
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CORE Robotics Lab retweeted
28 Oct 2024
Congrats to Sam Yi Ting, Dr. Erin Botti, and Manisha Natarajan from the @core_robotics who are tremendous researchers and who helped me pursue this @NASA Early Career Funded research. 6/6 @GTrobotics @gtcomputing
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CORE Robotics Lab retweeted
28 Oct 2024
In future work, the @core_robotics will be developing adaptive robots that adjust to human stress levels and modulate workload to max performance in safety-critical settings. Here's an AAMAS'24 paper showing one way to modulate latent human variables: ifaamas.org/Proceedings/aama… 5/n
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CORE Robotics Lab retweeted
28 Oct 2024
The *right* kind of stress can boost performance (to a point) while workload degrades it. Stress actually has 2 components: distress and eustress, which have differential effects. Overall, our results show that AI systems need to dynamically adapt based on all these factors. 4/n
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CORE Robotics Lab retweeted
28 Oct 2024
24 participants, multiple stress (s) and workload (w) conditions. The result? 70% performed better under moderate stress -- predicted in rat studies by the Yerkes-Dodson Law (YDL). However, performance declined as workload increased. 3/n
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CORE Robotics Lab retweeted
28 Oct 2024
Robot teleoperation is vital in safety-critical applications, such as space exploration and surgery. Understanding how stress and workload impact performance can drive safer, more efficient systems. 2/n
c.f. researchgate.net/publication…
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CORE Robotics Lab retweeted
28 Oct 2024
Can stress improve human performance in robot teleoperation? We found that moderate stress enhances effectiveness in critical tasks, but high workload? It takes a toll. Let’s dive into the findings...🧵1/6
Link: ieeexplore.ieee.org/document…
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CORE Robotics Lab retweeted
25 Oct 2024
“Trust and Dependence on Robotic Decision Support” has been published in @IeeeTro! Available here: ieeexplore.ieee.org/document… Bravo to Manisha Natarajan on her strong experimental work to inform how we design for appropriate trust in robotic systems. @core_robotics
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CORE Robotics Lab retweeted
23 Oct 2024
Interested in how else diffusion models can be leveraged for robot model learning? Check out more papers by @Seancye et al. from @core_robotics. Check them out:
arxiv.org/abs/2409.15528
arxiv.org/pdf/2403.10794
ieeexplore.ieee.org/stampPDF…
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CORE Robotics Lab retweeted
22 Oct 2024
Diffusion models can forecast trajectories, which can help with predicting aircraft flight paths to helping robots generate motion plans in complex environments. Check out our latest work on this topic that Dr. Sean Ye presented #IROS2024! Teaser Talk: tiny.cc/nwjrzz
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CORE Robotics Lab retweeted
21 Oct 2024
We are hiring tenure-track faculty in Robotics, HRI, AI/ML, and Graphics at @ICatGT! I am grateful for the collaborative, supportive ecosystem of amazing faculty and students in @ICatGT and strongly encourage you to apply to join us! ic.gatech.edu/faculty-hiring
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28 Aug 2024
Congrats to Dr. Sean Ye and Dr. Pradyumna Tambwekar on defending their PhDs on "Trajectory Modeling using Generative Approaches for Scheduling, Planning, and Multi-Agent Systems" and "Human-Centered Specification and Explanation for Mixed-Initiative Interactions", respectively!🎉
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28 Aug 2024
Wishing these two CORE Lab members the best of luck with their careers!🌟We can’t wait to see what you achieve next. Congratulations once again!
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21 Aug 2024
Excited to share that our paper "Heterogeneous Policy Networks for Composite Robot Team Communication and Coordination" has been published in IEEE Transactions on Robotics, Vol. 40, 2024. 🤖 Want to learn about improving heterogenous robot team coordination, follow this🧵. (1/ )
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21 Aug 2024
Finally, we demonstrated our framework on the Robotarium platform with real robots. Our HetNet-based agents coordinated seamlessly, detecting and extinguishing fires through effective communication and teamwork. Check out the demo in our paper. (8/8) Link: ieeexplore.ieee.org/document…
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21 Aug 2024
This work was developed in collaboration with @EsiSeraj, @rohanpaleja27, @MatthewGombolay, @zahi_kakish, and Luis Pimentel, Kin Man Lee, Zheyuan Wang, Daniel Martin, Matthew Sklar, and John Zhang.
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