Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Stef Van Havermaet

ORCID iD: 0000-0002-5060-6807

Add to list
- PhD Thesis
Designing swarm intelligence for the conservation of animal collectives : a step towards animal-robot societies

Stef Van Havermaet (UGent)

(2025)
Add to list
- Journal Article
- A1
- open access
Reactive shepherding along a dynamic path

Stef Van Havermaet (UGent) , Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2024) SCIENTIFIC REPORTS. 14(1).
Add to list
- Journal Article
- A1
- open access
Steering herds away from dangers in dynamic environments

Stef Van Havermaet (UGent) , Pieter Simoens (UGent) , Tim Landgraf and Yara Khaluf (UGent)

(2023) ROYAL SOCIETY OPEN SCIENCE. 10(5).
Add to list
- Conference Paper
- C1
- open access
An adaptive metric model for collective motion structures in dynamic environments

Stef Van Havermaet (UGent) , Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2022) Swarm Intelligence, 13th International Conference, ANTS 2022, Proceedings. In Lecture Notes in Computer Science 13491. p.257-265
Add to list
No more hand-tuning rewards : masked constrained policy optimization for safe reinforcement learning

Stef Van Havermaet (UGent) , Yara Khaluf (UGent) and Pieter Simoens (UGent)

(2021) AAMAS '21, Proceedings of the 20th International Conference on Autonomous Agents and MultiAgent Systems. In AAMAS Conference proceedings p.1344-1352
Add to list
- Conference Paper
- P1
- open access
Enhanced foraging in robot swarms using collective Lévy walks

Johannes Nauta, Stef Van Havermaet (UGent) , Pieter Simoens (UGent) and Yara Khaluf (UGent)

(2020) FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS. 325. p.171-178
Add to list
- Conference Paper
- P1
- open access
Collective Lévy walk for efficient exploration in unknown environments

Yara Khaluf (UGent) , Stef Van Havermaet (UGent) and Pieter Simoens (UGent)

(2018) ARTIFICIAL INTELLIGENCE: METHODOLOGY, SYSTEMS, AND APPLICATIONS, AIMSA 2018. In Lecture Notes in Artificial Intelligence 11089. p.260-264