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Merge pull request #41 from dasc-lab/add_2025_info
Support multiple news related features
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‎content/news/2024-cdc-conference.md‎

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layout: news
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title: Prof. Panagou Delivers <span style="color:red"><strong>Plenary Talk</strong></span> at <strong>CDC</strong> 2024
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date: 2024-12-17
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---
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Prof. Dimitra Panagou gave a plenary talk at CDC 2024! In addition, our lab contributed four paper presentations at the conference.
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Check out the talk [here](https://www.ieeecss.org/presentation/conference-plenary-lecture/towards-safe-and-resilient-autonomy-using-synergistic)
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| ![Prof. Panagou delivering the plenary talk ](/images/2024-cdc-plenary.jpg) |

‎content/news/2024-cdc.md‎

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layout: news
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title: "Four papers accepted at CDC 2024!"
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title: "Four papers accepted at <strong>CDC</strong> 2024"
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date: 2024-07-24
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‎content/news/2024-perceivability-best-paper.md‎

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title: "IEEE TCAC Best Student Paper Award"
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title: Our paper won IEEE TCAC <span style="color:red"><strong>Best Student Paper Award</strong>!</span>
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date: 2024-07-14
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‎content/news/2025-icra-conference.md‎

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title: "Prof. Panagou Delivers <strong>Keynote</strong> Talk at <strong>ICRA</strong> 2025"
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date: 2025-05-22
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Prof. Dimitra Panagou gave a keynote talk at ICRA 2025, focusing on multi robot systems. In addition, our lab contributed two conference papers and two workshop papers.
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| ![Prof. Panagou delivering the keynote talk at ICRA 2025](/images/2025-icra-keynote-1.jpg) |
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| ![](/images/2025-icra-conference.jpg) | ![](/images/2025-icra-keynote-2.jpg) |

‎content/news/2025-icra.md‎ renamed to ‎content/news/2025-icra-paper.md‎

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title: "Two papers accepted at ICRA 2025!"
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title: "Two papers accepted at <strong>ICRA</strong> 2025"
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date: 2025-01-27
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‎content/news/2025-rss-paper.md‎

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title: "Our paper on Certifiably-Correct Mapping is accepted at <strong>RSS</strong> 2025"
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date: 2025-04-11
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---
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Our paper ["Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift"](/papers/2025-certifiably-correct.md) has been accepted to RSS 2025!

‎content/papers/2025/2025-certifiably-correct.md‎

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layout: papers
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title: "Certifiably-Correct Mapping for Safe Navigation Despite Odometry Drift"
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date: 2025-06-29
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image: /images/2025-certifiably-correct.gif
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venue: "RSS 2025"
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authors:
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- devanshagrawal
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- taekyungkim
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- Rajiv Govindjee
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- trushantadeshara
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- Jiangbo Yu
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- Anuerkha Ravikumar
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- dimitrapanagou
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projectpage: https://www.taekyung.me/certifiably-correct-mapping
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arxiv: https://arxiv.org/abs/2504.18713
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code: https://github.com/dasc-lab/certifiably-correct-mapping
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video: https://youtu.be/qMlDK7Iou48
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abstract: "Accurate perception, state estimation and mapping are essential for safe robotic navigation as planners and controllers rely on these components for safety-critical decisions. However, existing mapping approaches often assume perfect pose estimates, an unrealistic assumption that can lead to incorrect obstacle maps and therefore collisions. This paper introduces a framework for certifiably-correct mapping that ensures that the obstacle map correctly classifies obstacle-free regions despite the odometry drift in vision-based localization systems (VIO/SLAM). By deflating the safe region based on the incremental odometry error at each timestep, we ensure that the map remains accurate and reliable locally around the robot, even as the overall odometry error with respect to the inertial frame grows unbounded.
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Our contributions include two approaches to modify popular obstacle mapping paradigms, (I) Safe Flight Corridors, and (II) Signed Distance Fields. We formally prove the correctness of both methods, and describe how they integrate with existing planning and control modules. Simulations using the Replica dataset highlight the efficacy of our methods compared to state-of-the-art techniques. Real-world experiments with a robotic rover show that, while baseline methods result in collisions with previously mapped obstacles, the proposed framework enables the rover to safely stop before potential collisions."
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‎layouts/_default/list.html‎

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{{ define "main" }}
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<h1>{{ .Title | safeHTML }}</h1>
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{{/* <p class="d-none"> Rendered from layouts/_defaults/list </p> */}}
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‎layouts/index.html‎

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<p>
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The Distributed Autonomous Systems and Control Laboratory (3010 Ford Robotics Building) is directed by Dimitra Panagou.</p>
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<p>The lab’s research focuses on advancing planning, learning, and control methods for autonomous robotic systems, with a strong emphasis on safety, resilience, and provable guarantees. We address real-world challenges in robotics, including multi-agent, networked, and sensor-based systems, operating in uncertain, dynamic, or adversarial environments. Our interests include nonlinear systems, estimation, risk-aware decision making, uncertainty quantification, and control under constraints, with applications across aerial, ground, marine, and space domains.</p>
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<p>The lab's research focuses on advancing planning, learning, and control methods for autonomous robotic systems, with a strong emphasis on safety, resilience, and provable guarantees. We address real-world challenges in robotics, including multi-agent, networked, and sensor-based systems, operating in uncertain, dynamic, or adversarial environments. Our interests include nonlinear systems, estimation, risk-aware decision making, learning-based control, uncertainty quantification, and control under constraints, with applications across aerial, ground, marine, and space domains.</p>
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<p>If you are interested to join our lab, get in touch with Prof. Panagou or some of the PhD lab members. </p>
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</div>
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<a href="/news"><h3>News</h3></a>
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<ul style="padding-left: 40px;">
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{{ range first 10 (where .Site.RegularPages "Type" "news") }}
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<li> {{ .Date | time.Format ":date_medium" }}: <a href="{{ .RelPermalink }}">{{ .Title }}</a></li>
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‎layouts/news/single.html‎

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{{/* <p class="d-none"> Rendered from /layouts/news/single.html </p> */}}
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.news-content table {
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width: 80% !important;
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margin: 20px auto !important;
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<h2>Related Papers</h2>

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