Nicholas Dolan-Stern
Papers
2
Total Citations
7
H-Index
2
About
Nicholas Dolan-Stern is a robotics researcher whose work bridges bio-inspired algorithms and multi-agent systems, with a primary focus on **central place foraging**—a behavior where agents search for resources and return them to a central location. His major contributions lie in developing efficient, scalable coordination strategies for wheeled mobile robots, drawing inspiration from honey bee colonies. His 2020 paper, "Central Place Foraging: Delivery Lanes, Recruitment and Site Fidelity" (4 citations), introduces mechanisms for partitioning search spaces and maintaining agent roles to optimize resource collection. His earlier 2018 work, "Multimodal Central Place Foraging" (3 citations), further refines these ideas by assigning agents behavioral roles—such as scouts and foragers—to improve search efficiency and reduce redundancy. Though his citation counts are modest, Dolan-Stern’s research is notable for its novel integration of biological principles with practical robotics, offering a foundation for future work in swarm robotics and autonomous exploration. His achievements include developing a system that balances exploration and exploitation, a key challenge in multi-robot coordination. For students and researchers, his work provides a compelling example of how nature-inspired algorithms can solve complex logistical problems in unknown environments.
Research Focus
Key Achievements
Top Papers
- 1Central Place Foraging: Delivery Lanes, Recruitment and Site Fidelity4 citations · 2020
- 2Multimodal Central Place Foraging3 citations · 2018