# Integrated Robotics Networks with Co-optimization of Drone Placement and Air-Ground Communications

arXiv: https://arxiv.org/abs/2309.04730 · HTML: https://mlsanity.com/paper/2309.04730/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Sep 2023.

## Built on by (most cited first, 1 of 1)

- [LLM Agent for Hyper-Parameter Optimization](https://mlsanity.com/paper/2506.15167/) (2025)

## Abstract (arXiv)

Terrestrial robots, i.e., unmanned ground vehicles (UGVs), and aerial robots, i.e., unmanned aerial vehicles (UAVs), operate in separate spaces. To exploit their complementary features (e.g., fields of views, communication links, computing capabilities), a promising paradigm termed integrated robotics network emerges, which provides communications for cooperative UAVs-UGVs applications. However, how to efficiently deploy UAVs and schedule the UAVs-UGVs connections according to different UGV tasks become challenging. In this paper, we propose a sum-rate maximization problem, where UGVs plan their trajectories autonomously and are dynamically associated with UAVs according to their planned trajectories. Although the problem is a NP-hard mixed integer program, a fast polynomial time algorithm using alternating gradient descent and penalty-based binary relaxation, is devised. Simulation results demonstrate the effectiveness of the proposed algorithm.