Practical and analytical techniques in agent research influences and are influenced by research into autonomous multi-robot systems. Agent researchers are inspired by robots and use robots for examples and thereby making contributions to the field of robotics. Areas of particular recent cross-fertilization include:

- Motion and path planning for multiple mobile   

  robots


- Machine learning in robotics


- Multi-robot teams and swarms


- Human-agent-robot teamwork


- Analysis of large-scale multi-robot systems

   and swarms


- Decision-theoretic multi-robot planning


- Imitation and learning by demonstration/example


- Formal methods and control architectures


- Canonical robotics problems and benchmarks,

   such as robotic soccer, coverage, foraging, or

   patrolling


Here we list links to articles and papers  that discuss some of the cutting edge research in these areas and others.


LINKS TO MOST CURRENT PAPERS AND ARTICLES

Hector Darmstadt: Heterogeneous Cooperating Teams of Robots.