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We are hiring tenure-track faculty in Robotics, HRI, AI/ML, and Graphics at Georgia Tech School of Interactive Computing! I am grateful for the collaborative, supportive ecosystem of amazing faculty and students in Georgia Tech School of Interactive Computing and strongly encourage you to apply to join us! ic.gatech.edu/faculty-hiring

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

Machine Learning at Georgia Tech Georgia Tech Computing Robotics@GT Interested in how else diffusion models can be leveraged for robot model learning? Check out more papers by Sean Ye et al. from CORE Robotics Lab. Check them out: arxiv.org/abs/2409.15528 arxiv.org/pdf/2403.10794 ieeexplore.ieee.org/stampPDF/getPD…

“Trust and Dependence on Robotic Decision Support” has been published in IEEE Transactions on Robotics (T-RO)! Available here: ieeexplore.ieee.org/document/10726… Bravo to Manisha Natarajan on her strong experimental work to inform how we design for appropriate trust in robotic systems. CORE Robotics Lab

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/10726…

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/35…

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

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

In future work, the CORE Robotics Lab 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/aa… 5/n

CORE Robotics Lab Congrats to Sam Yi Ting, Dr. Erin Botti, and Manisha Natarajan from the CORE Robotics Lab who are tremendous researchers and who helped me pursue this NASA Early Career Funded research. 6/6 Robotics@GT Georgia Tech Computing

Congrats to CORE Lab member Manisha Natarajan for having her abstract titled "Adaptive Agents for Mixed-Initiative Human-AI Collaboration" accepted to AAAI 2025! She will be presenting her work at the poster session in February!🤖🎉

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 🧵...

Delighted to cap this year off holding Sean Ye and Pradyumna Tambwekar. Their legacy for the CORE Robotics Lab 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…

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

Want to learn more about advances in agile robots?🦾🤖Make sure to check out this exciting workshop at #ICRA25!