Advancements in Autonomous Aerial Systems

The field of autonomous aerial systems is rapidly advancing, with a focus on improving navigation, safety, and efficiency. Researchers are exploring innovative approaches to address the challenges of autonomous flight, such as GPS-denied environments, external wrench estimation, and collaborative UAV networks. Noteworthy papers in this area include:

  • External-Wrench Estimation for Aerial Robots Exploiting a Learned Model, which presents a hybrid dynamics model for accurate wrench estimation.
  • Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints, which proposes a decentralised deployment strategy for UAVs with unknown energy storage capacities.
  • Autonomous Drone for Dynamic Smoke Plume Tracking, which demonstrates a novel autonomous drone-based system for tracking dynamic smoke plumes in unsteady atmospheric conditions.

Sources

Threading the Needle: Test and Evaluation of Early Stage UAS Capabilities to Autonomously Navigate GPS-Denied Environments in the DARPA Fast Lightweight Autonomy (FLA) Program

External-Wrench Estimation for Aerial Robots Exploiting a Learned Model

Optimizing Collaborative UAV Networks for Data Efficiency in IoT Ecosystems

Ready, Bid, Go! On-Demand Delivery Using Fleets of Drones with Unknown, Heterogeneous Energy Storage Constraints

Enabling Safety for Aerial Robots: Planning and Control Architectures

Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control

Autonomous Drone for Dynamic Smoke Plume Tracking

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