Multi-objective Compositions for Collision-Free Connectivity Maintenance in Teams of Mobile Robots
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Abstract (arXiv)
Compositional barrier functions are proposed in this paper to systematically compose multiple objectives for teams of mobile robots. The objectives are first encoded as barrier functions, and then composed using AND and OR logical operators. The advantage of this approach is that compositional barrier functions can provably guarantee the simultaneous satisfaction of all composed objectives. The compositional barrier functions are applied to the example of ensuring collision avoidance and static/dynamical graph connectivity of teams of mobile robots. The resulting composite safety and connectivity barrier certificates are verified experimentally on a team of four mobile robots.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Aug 2016.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 1.
5 papers.
- 2024Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddingscited by 9
- 2022Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environmentscited by 8
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidancecited by 8
- 2021Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approachcited by 1
- 2025Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Carscited by 0
- 2025Barrier Function Overrides For Non-Convex Fixed Wing Flight Control and Self-Driving Cars8 May 2025
- 2024Data-Driven Distributionally Robust Safety Verification Using Barrier Certificates and Conditional Mean Embeddings15 Mar 2024
- 2023Sequential Neural Barriers for Scalable Dynamic Obstacle Avoidance6 Jul 2023
- 2022Learning Differentiable Safety-Critical Control using Control Barrier Functions for Generalization to Novel Environments4 Jan 2022
- 2021Decentralized Global Connectivity Maintenance for Multi-Robot Navigation: A Reinforcement Learning Approach17 Sep 2021