CoAdapt: An LLM-based Framework for Adaptive Collaborative Perception in IIoT Robotic Swarms
cs.AI, cs.RO
Submitted: 2026-09-15
Updated: 2026-09-15
Journal ref: The 7th IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS 2026), Sep 2026, Cesena, Italy
Code: https://github.com/houssamhh/coadapt
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models
- Open3D: A Modern Library for 3D Data Processing
- A Survey on Knowledge Distillation of Large Language Models
Related papers
- MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
- Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
- The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
- Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
- VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection