Merge pull request #46 from dasc-lab/test_joon

Added the CDC 2025 paper for Joon and edited the ICRA 2024 image to gif

Author: joonlee16

content/papers/2025/2025-resilience-aware_cdc.md

@@ -0,0 +1,28 @@
+---
+layout: papers
+# specify the title of the paper
+title:  "Distributed Resilience-Aware Control in Multi-Robot Networks"
+# specify the date it was published
+date: 2025-12-19
+# list the authors. if a "/people/id" page exists for the person, it will be linked. If not, the author's name is printed exactly as you typed it.
+authors:
+    - haejoonl
+    - dimitrapanagou
+# give the main figure location, relative to /static/
+image: /images/2025-resilience-aware-controller.gif
+# specify the conference or journal that it was published in
+venue: IEEE CDC 2025
+# link to publisher site (optional)
+link: 
+# link to arxiv (optional)
+arxiv: https://arxiv.org/abs/2504.03120
+# link to github (optional)
+code: https://github.com/joonlee16/Distributed-Resilience-Aware-Control
+# link to video (optional)
+video: 
+# link to pdf (optional)
+pdf: https://arxiv.org/pdf/2504.03120
+# abstract
+abstract: "Ensuring resilient consensus in multi-robot systems with misbehaving agents remains a challenge, as many existing network resilience properties are inherently combinatorial and globally defined. While previous works have proposed control laws to enhance or preserve resilience in multi-robot networks, they often assume a fixed topology with known resilience properties, or require global state knowledge. These assumptions may be impractical in physically-constrained environments, where safety and resilience requirements are conflicting, or when misbehaving agents corrupt the shared information. In this work, we propose a distributed control law that enables each robot to guarantee resilient consensus and safety during its navigation without fixed topologies using only locally available information. To this end, we establish a new sufficient condition for resilient consensus in time-varying networks based on the degree of non-misbehaving or normal agents. Using this condition, we design a Control Barrier Function (CBF)-based controller that guarantees resilient consensus and collision avoidance without requiring estimates of global state and/or control actions of all other robots. Finally, we validate our method through simulations."
+bib:
+---

content/papers/2025/2025-strong_r_icra.md

@@ -9,7 +9,7 @@ authors:
     - haejoonl
     - dimitrapanagou
 # give the main figure location, relative to /static/
-image: /images/2025-icra_r.jpg
+image: /images/2025-strong_r-icra.gif
 # specify the conference or journal that it was published in
 venue: "IEEE ICRA 2025"
 # link to publisher site (optional)