Evacuation
Robots start at the centre of a disk (or a polygon) and must all leave through an exit at an unknown point of the boundary, as fast as possible.
Problem statement and measuresexpand
\(k\) unit-speed robots start together at the centre of a unit disk (or the centroid of a unit equilateral triangle or square). An exit lies at an unknown point of the boundary; a robot recognises it only on reaching it. Time is the worst case, over exit positions, of the time until the last robot reaches the exit (in priority evacuation, where one robot is the queen: until the queen does).
Measures: Evacuation time, worst-case time until the last robot (or the queen) reaches the exit; unit disk, unit speed.
Disk, search-and-fetch, two wireless robots
verifiedTwo wireless robots find a treasure on the boundary and bring it to an exit at known arc distance \(\alpha\) in \(1+\pi-\alpha+4\sin(\alpha/2)\).
Assumed (added on the last edge are outlined)
Not assumed
Formal definitions of this setting
- Domain: disk
- The unit disk; robots start at its centre; the exit is a point of the boundary circle.
- Number of robots: two robots
- Two robots.
- Goal: search-and-fetch
- A treasure lies at an unknown point of the boundary, and the exit at a known arc distance \(\alpha\) from it; the task ends when some robot has carried the treasure to the exit.
- Exits: one exit
- One exit, at an unknown point of the boundary.
- Communication: wireless
- Wireless: every robot can send messages to every other robot instantly at any distance.
- Faults: no faults
- Every robot detects and reports the target.
- Speeds: distinct speeds
- Each robot \(i\) has its own maximum speed \(v_i\), known to all.
- Randomness: deterministic
- Trajectories are fixed functions of the information received.
What is known
Results, in order of publication
Introductory and current best (Theorem 2.1).
Open questions
Lower bounds that separate wireless from face-to-face search-and-fetch Georgiou et al. 2019.
Notes
With one robot, the treasure-evacuation version is solved optimally when only a lower bound on the treasure–exit distance is known Georgiou et al. 2021 (abstract only). Checked against the full text of Georgiou et al. 2019.
What carries over from neighbouring settings
Read off the order of assumptions, not checked case by case: results may carry extra assumptions (shown on their pages), and asynchronous time is measured in epochs.
Algorithms from weaker settings work here
Lower bounds from stronger settings hold here
No catalogued stronger setting.
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