CORE Robotics Lab (@core_robotics) 's Twitter Profile
CORE Robotics Lab

@core_robotics

The Cognitive Optimization and Relational Robotics Lab at the Georgia Institute of Technology, focusing on research in all things robotics and optimal learning.

ID: 1217115057634463744

calendar_today14-01-2020 16:04:08

159 Tweet

500 Followers

23 Following

Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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

We are hiring tenure-track faculty in Robotics, HRI, AI/ML, and Graphics at <a href="/ICatGT/">Georgia Tech School of Interactive Computing</a>! I am grateful for the collaborative, supportive ecosystem of amazing faculty and students in <a href="/ICatGT/">Georgia Tech School of Interactive Computing</a> and strongly encourage you to apply to join us! ic.gatech.edu/faculty-hiring
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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

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
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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…

Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

“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

Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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…

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…
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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…

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…
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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

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
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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

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
Matthew Gombolay (@matthewgombolay) 's Twitter Profile Photo

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

In future work, the <a href="/core_robotics/">CORE Robotics Lab</a> 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 (@core_robotics) 's Twitter Profile Photo

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!🤖🎉