Category: News
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New preprint: anomaly-informed safety confidence
We developed a new safety prediction pipeline that leverages a vector of anomaly scores to predict the system’s safety confidence. Somehow, it manages to generalize to unseen anomalies in sensing and dynamics. Citation:
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Zhenjiang presents confidences & world models at CPS Week
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Zhenjiang Mao travelled all the way to Brittany in France to present his recent contributions at the CPS-IoT Week 2026. First, Zhenjiang showcased his proposed PhD work on “Action Confidence Trajectories for Safety Assurance in Autonomous Systems” at the CPS-IoT Week PhD Forum. He gave a short pitch and then presented a poster, which was…
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New preprint: elimination for hypothesis testing
As a starting point towards using bandit-style algorithms for autonomy, we have developed finite-sample bounds for efficient hypothesis testing while eliminating unlikely hypotheses. Citation:
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New preprint: TEACar Autonomous Racing Platform
We have released our shiny new TEACar platform for autonomous racing, inspired by DonkeyCar but with upgraded mechanical, hardware, and software components! Citation:
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Maxwell wins Outstanding Student Leadership Award
Maxwell Ruyle, a Mechanical Engineering undergraduate student, received the Bill “Roto” Reuter & Peter Nicholas Outstanding Student Leadership Award from the Department of Mechanical and Aerospace Engineering for leading activities in many contexts: Congratulations!
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New preprint: a broad view of CPS resilience
Ivan took part in a large many-university effort to summarize the state of resilient cyber-physical systems (CPS) and the outlook for future research in this area. Five themes have emerged. Citation:
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Posters at Undergraduate Spring Symposium 2026
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Congratulations to Trevor and Chris (and Vignesh) on their presentations of undergraduate-led research projects! Featured above: Chris Oeltjen and Vignesh Saravanan with their defensive maneuvering work. Featured below: Trevor Turnquist with his calibrated filtering work.
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Mathias wins ECE Undergrad Research Excellence Award
Congratulations to Mathias Gast on his well-deserved research award! In the TEA Lab, he has been working on soundly abstracting continuous systems, resulting in multiple paper submissions. Looking forward to his upcoming contributions!
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New preprint: latent-entropy anomaly detection
In collaboration with ECE colleagues, we have put out a new variant of our unsupervised anomaly detection pipeline. This one uses a latent entropy loss to scramble the latent space, making anomalies harder to reconstruct (and hence easier to detect). No supervision (including a normal-only dataset) needed! Citation:
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Ivan presents LLM confidence calibration at Shonan
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Ivan had the honor of attending an invitation-only visionary workshop #235 on LLM-guided assurance and synthesis for CPS in Shonan, Japan. He presented the lab’s work on calibrating chain-of-thought confidence by discovering temporal patterns with Signal Temporal Logic. Materials: Some of the prominent debates at the workshop included: