I think there is a **very productive design analogy between RTS games and multi-UAV GCS**, but I would not copy an RTS literally.

The key insight is:

> **An RTS doesn't make the player control 50 units individually. It gives the player mechanisms for turning many low-level entities into a few high-level, cognitively manageable objects.**

That is exactly the problem you're describing with 5 operators / 50 UAVs.

Modern multi-vehicle systems are already moving toward this direction: for example, SolGCS describes multiple operators seeing/commanding the same vehicles with conflict resolution, while ARA's MPMS emphasizes multi-asset orchestration from one screen. ([sol.one][1])

I would build your GCS around that philosophy.

---

# 1. Don't design a "drone control application"

Design a **mission operating system**.

This distinction is extremely important.

A conventional GCS thinks:

> Vehicle → telemetry → vehicle controls → mission

Your next-generation GCS could think:

> **Mission → Tasks → Groups → Vehicles → Autonomy**

The operator shouldn't normally think:

> "I need to command UAV #37."

They should think:

> "I need this group of 8 aircraft to search this area."

And the system figures out which vehicles should execute it.

That is much closer to an RTS.

---

# 2. The RTS concept I would steal first: hierarchical selection

Look at how games such as Blizzard Entertainment's StarCraft II handle units.

You can select:

* one unit
* multiple units
* a control group
* all units of a type
* units satisfying some condition

StarCraft II also supports control groups, adding/removing units from groups, queued commands and cycling through subgroups. ([Blizzard News][2]) 

Your GCS could have the same concept, but **much more powerful**.

### Example

You have:

**50 UAVs**

Instead of presenting 50 independent objects:

```text
UAV-001
UAV-002
UAV-003
...
UAV-050
```

the operator sees:

```text
ALPHA
  12 × ISR UAV
  Status: GREEN
  Task: Area Search
  Coverage: 64%
  
BRAVO
  10 × ISR UAV
  Status: GREEN
  Task: Route Recon
  
CHARLIE
  8 × Relay UAV
  Status: GREEN
  Task: Communications
  
DELTA
  20 × Mixed UAV
  Status: AMBER
  Task: Reserve
```

Then:

**Click ALPHA → control the group.**

Expand ALPHA → individual aircraft.

This is essentially **zooming through levels of abstraction**.

---

# 3. Think of the UI as a "semantic zoom"

This might be one of the most important concepts for your design team.

At maximum zoom-out:

```text
              ┌──────────────────────┐
              │       MISSION        │
              └──────────┬───────────┘
                         │
          ┌──────────────┼──────────────┐
          ▼              ▼              ▼
       ALPHA           BRAVO          CHARLIE
        12              10               8
```

Zoom in:

```text
                    ALPHA
         ┌───────────┼───────────┐
         ▼           ▼           ▼
       A-01        A-02        A-03
```

Zoom further:

```text
                    A-01
              ┌──────┼──────┐
              │      │      │
            Flight  Nav   Payload
```

The same object changes representation depending on zoom.

At fleet level:

**ALPHA — 12 aircraft — healthy**

At group level:

**12 aircraft / formation / task / coverage**

At vehicle level:

**battery / GPS / flight mode / link / telemetry**

At engineering level:

**parameters / sensors / actuator status**

This is much better than permanently putting 50 vehicles on screen.

---

# 4. Your most important RTS feature: "control groups"

Supreme Commander is particularly interesting for you.

It lets players assign units to numbered groups, recall groups, add units to groups, select units by type, etc. ([supcom.fandom.com][3])

But you can go much further.

Instead of:

> Ctrl+1 = UAVs 1–8

allow:

> **Group = semantic query**

For example:

### Group: "Northern Search"

```text
Members:
  aircraft where:
    type = ISR
    region = NORTH
    readiness > 80%
```

Now when UAV-07 fails:

```text
Northern Search
12 → 11 vehicles
```

and another suitable aircraft can automatically join.

That's a huge conceptual improvement over traditional RTS control groups.

The group becomes a **mission entity**, not merely a collection of vehicle IDs.

---

# 5. Separate "selection" from "ownership"

This is where real-world GCS needs to diverge from games.

In an RTS:

> I select unit → I own the command.

In a real multi-operator system, you need:

> I select unit → I am requesting authority to command it.

That's essential for your 5-operator scenario.

Imagine:

```text
                  UAV-17
                    │
          ┌─────────┴─────────┐
          │                   │
      Operator A           Operator B
       viewing              viewing
```

Both can see it.

But only one has **command authority**.

You could introduce something analogous to an RTS "selection state":

### Grey

**Observed**

### Blue

**Selected**

### Purple

**Requested**

### Green

**Command authority**

### Amber

**Command conflict**

### Red

**Command unavailable**

That makes multi-operator collaboration visually obvious.

---

# 6. Use "command leases"

I think this could become a defining feature of your system.

Instead of permanently assigning vehicles to operators:

```text
Operator 1 owns UAV 1–10
Operator 2 owns UAV 11–20
```

use temporary **command leases**.

Example:

> Operator A selects Group ALPHA.

System:

```text
ALPHA

Command lease:
Operator A

Expires:
02:34

Observers:
Operator B
Operator C
```

Operator B can request the lease:

```text
Operator B
REQUEST CONTROL

Reason:
Emergency intervention
```

Operator A sees:

> **Operator B requests command authority for ALPHA**

Then:

**Accept / Reject / Transfer**

You could also allow predefined authority policies:

```text
Mission Commander
    ↓
Group Commander
    ↓
Vehicle Operator
    ↓
Vehicle
```

This gives you the multiplayer RTS feeling without creating dangerous command ambiguity.

---

# 7. Make the map the primary workspace

I'd strongly resist designing the application as:

```text
Top: toolbar
Left: vehicle tree
Center: map
Right: telemetry
Bottom: controls
```

That's basically a traditional GCS.

Instead:

## The map should be the operating canvas.

Everything should exist spatially.

Something like:

```text
┌──────────────────────────────────────────────────────────┐
│ MISSION       HEALTH 48/50      ALERTS 2      USERS 5    │
├──────────────────────────────────────────────────────────┤
│                                                          │
│             ╭──────── SEARCH AREA ────────╮              │
│             │                              │              │
│        ● ● ● ● ●                           │              │
│          ALPHA                              │             │
│             ● ● ● ●                         │             │
│                                                ▲         │
│                           BRAVO → → → → →       │         │
│                                                          │
│                                                          │
├──────────────────────────────────────────────────────────┤
│ ALPHA  12 UAV │ SEARCH │ 82% │ GREEN │ OP: ALEX          │
└──────────────────────────────────────────────────────────┘
```

The bottom panel becomes a **contextual command bar**.

Select nothing → mission controls.

Select group → group controls.

Select vehicle → vehicle controls.

Select task → task controls.

This is very close to modern RTS design.

---

# 8. Steal "drag-select"

This sounds trivial, but it is enormously powerful.

RTS:

> Drag rectangle → select 15 units.

Your GCS:

> Drag rectangle → select all suitable vehicles in geographical area.

Then:

```text
27 vehicles selected

TYPE
☑ ISR       14
☑ Relay      7
☑ Transport  6

STATUS
☑ Ready     25
☐ Warning    2
```

Then you can turn the selection into:

**Create Group**

or

**Assign Task**

or

**Add to Existing Group**

This is much faster than clicking individual vehicles.

---

# 9. But add "smart selection"

This is where you can surpass games.

Imagine a command palette:

> **Select all available ISR aircraft within 20 km of Area A with >60% battery**

Result:

```text
8 vehicles selected
```

Or:

> **Select aircraft currently assigned to Northern Search**

Or:

> **Select vehicles with degraded navigation**

Or:

> **Select vehicles that can reach Task Bravo within 12 minutes**

This is basically **SQL for operators**, but expressed naturally.

You could provide both:

### Natural language

> Select available search aircraft near Bravo.

and:

### Structured filter

```text
Type: ISR
Availability: Available
Distance: <20 km
Battery: >60%
Task: None
```

This could be one of the biggest UX differentiators.

---

# 10. Steal "queued orders" from RTS games

This is another huge one.

StarCraft II and Company of Heroes both use queued commands. ([Blizzard News][2])

Instead of:

> Go here.

You can construct:

```text
Task A
   ↓
Transit
   ↓
Search Area A
   ↓
Return
   ↓
Recharge
   ↓
Task B
```

For your GCS, make this **first-class**.

Visually:

```text
ALPHA

[Transit]
    ↓
[Search Area A]
    ↓
[Loiter]
    ↓
[Return]
    ↓
[Recharge]
```

The operator manipulates the **mission graph**, rather than individual flight-controller commands.

---

# 11. Introduce "task objects"

This is probably the architectural concept I'd put at the center of the product.

A vehicle should not be the primary object.

A **Task** should be.

For example:

```text
TASK-143

Type:
Area Search

Priority:
High

Area:
████████████

Required:
4 aircraft

Assigned:
ALPHA / 4

Progress:
63%

Health:
GREEN
```

Then the fleet is a resource pool.

```text
Task
 ↓
Requirements
 ↓
Assignment
 ↓
Vehicle allocation
 ↓
Execution
```

This allows your software to dynamically substitute vehicles.

If UAV-03 becomes unavailable:

```text
UAV-03
   ↓
UNAVAILABLE

Task engine:
   ↓
find replacement

UAV-19
   ↓
ASSIGNED
```

The operator doesn't need to manually rebuild everything.

---

# 12. Think "Squads", not "fleets"

Games have discovered something important:

Humans are bad at managing 50 independent objects.

Humans are much better at managing:

**5–7 meaningful groups.**

So your 50 UAVs should probably become something like:

```text
┌──────────────────────────────┐
│ ALPHA       12     ● GREEN   │
│ BRAVO        8     ● GREEN   │
│ CHARLIE     10     ● AMBER   │
│ DELTA       12     ● GREEN   │
│ RESERVE      8     ● GREEN   │
└──────────────────────────────┘
```

Five operators can then divide responsibility at the **task/group level**, not aircraft level.

---

# 13. Borrow from Total War

The Total War series is particularly interesting because it handles large numbers of units while preserving a relatively understandable tactical picture.

One excellent concept is the **unit card / army card**.

You could have:

```text
┌──────────────────────────────────────────────┐
│ ALPHA                                        │
│                                              │
│ [●][●][●][●][●][●][●][●][●][●][●][●]         │
│                                              │
│ 12 UAVs       SEARCH        64% COMPLETE     │
└──────────────────────────────────────────────┘
```

Each little icon represents an aircraft.

Click one:

```text
UAV-17
```

Click the group:

```text
ALPHA
```

Click the mission:

```text
SEARCH NORTH
```

Three different levels, one UI.

That is **excellent cognitive compression**.

---

# 14. Borrow from Homeworld for 3D spatial relationships

Homeworld is worth studying for a different reason.

The units exist in genuinely 3D space, so its interface has to communicate:

* relative position
* formation
* heading
* altitude
* spatial relationships

Your UAV system has exactly this problem.

Don't show:

```text
UAV 17
Lat: ...
Lon: ...
Alt: 147m
Heading: 283°
```

as the primary representation.

Show:

```text
       ↗  ● UAV-17
      /
     /      147m
    /
   ● UAV-18
```

and allow the numeric values to appear when needed.

**Spatial cognition first. Numbers second.**

---

# 15. Steal Supreme Commander's "strategic zoom"

This is probably my **#1 game to study** for your project.

Supreme Commander was designed around very large numbers of units and gave players extensive selection/grouping mechanisms. ([supcom.fandom.com][3])

Your equivalent could be:

### Level 1 — Strategic

```text
Entire operating area

50 UAV
5 groups
7 tasks
3 alerts
```

### Level 2 — Operational

```text
Northern sector

ALPHA
BRAVO
TASK 17
TASK 19
```

### Level 3 — Tactical

```text
ALPHA

UAV-01
UAV-02
UAV-03
...
```

### Level 4 — Vehicle

```text
UAV-03

flight status
navigation
battery
link
payload
etc.
```

### Level 5 — Engineering

```text
flight controller
parameters
sensors
actuators
logs
configuration
```

**The same application should support all five levels without feeling like five different applications.**

---

# 16. Introduce an "RTS command vocabulary"

You could deliberately standardize a small number of high-level verbs.

For example:

### Navigate

```text
MOVE
ROUTE
FOLLOW
RETURN
HOLD
```

### Observe

```text
SEARCH
SCAN
TRACK
MONITOR
```

### Formation

```text
JOIN
SPLIT
FORM
REPOSITION
```

### Mission

```text
ASSIGN
REASSIGN
PAUSE
RESUME
CANCEL
```

### Fleet

```text
GROUP
UNGROUP
TRANSFER
REQUEST
RELEASE
```

The operator learns a **small vocabulary** instead of learning hundreds of vehicle-specific controls.

---

# 17. Use "intent previews"

This is where real-world GCS should improve upon games.

In an RTS:

> Click → command happens.

For real vehicles:

> Click → system previews what will happen.

For example:

```text
┌───────────────────────────────────────┐
│ ASSIGN TASK                            │
│                                       │
│ 6 vehicles selected                   │
│                                       │
│ Estimated completion: 18 min          │
│ Required battery reserve: OK          │
│ Route conflicts: NONE                 │
│ Geofence conflicts: NONE              │
│ Vehicle compatibility: 6/6            │
│                                       │
│             [CANCEL] [CONFIRM]        │
└───────────────────────────────────────┘
```

That is the **safety equivalent of an RTS command preview**.

---

# 18. Make the system explain *why* it rejects a command

Don't do:

> ❌ Command rejected.

Do:

> **Cannot assign UAV-23**

```text
Reason:
Insufficient energy reserve

Current:
43%

Estimated requirement:
51%

Alternatives:
[UAV-19]
[UAV-27]
[UAV-31]
```

This is a massive UX improvement.

The GCS becomes a **co-pilot rather than a form validator**.

---

# 19. Multi-operator collaboration should feel like multiplayer

This is perhaps your biggest opportunity.

Imagine five operators logged into the same mission:

```text
MISSION: ALPHA

👤 Alex
   Commanding: ALPHA

👤 Sara
   Commanding: BRAVO

👤 David
   Planning

👤 Maria
   Monitoring

👤 Ken
   Engineering
```

Everyone sees the same world.

If Alex selects ALPHA:

Everyone can see:

```text
ALPHA
COMMAND: ALEX
```

If Sara is planning:

```text
BRAVO
PLAN EDIT: SARA
```

If David changes a task:

```text
TASK 23
Edited by David
12 sec ago
```

You essentially want **Google Docs + an RTS + a GCS**.

That is a very compelling product direction.

---

# 20. Treat mission plans like collaborative documents

This is a major architectural implication.

Don't make the mission:

```text
mission.json
```

that one computer owns.

Instead think:

```text
Mission
│
├── Tasks
├── Groups
├── Assignments
├── Constraints
├── Operators
├── Permissions
├── State
├── History
└── Events
```

Then every GCS workstation is a **client of shared mission state**.

Operator A can plan.

Operator B can monitor.

Operator C can modify a task.

Operator D can operate a particular group.

Operator E can handle vehicle configuration.

Everyone sees the same authoritative state.

---

# 21. You need an event model, not just shared telemetry

I'd strongly recommend thinking in terms of:

```text
EVENT

Operator A:
"Assign Group ALPHA to Task 17"

        ↓

Mission service

        ↓

Validate

        ↓

Reserve resources

        ↓

Publish event

        ↓

All clients update
```

rather than:

```text
GCS A → UAV
GCS B → UAV
GCS C → UAV
```

This becomes much easier to reason about when five operators are working simultaneously.

The multi-user/multi-vehicle research literature has explored networked multiple ground stations and centralized/decentralized/hybrid mission planning, which is conceptually aligned with this architecture. ([chasemurray.com][4])

---

# 22. Build an "attention management" system

This may be even more important than the map.

The operator cannot watch 50 UAVs.

So the system needs to determine:

> **What deserves the operator's attention right now?**

For example:

```text
             ATTENTION

🔴  UAV-27 navigation degraded
🟠  ALPHA task behind schedule
🟠  BRAVO approaching constraint
🟢  47 vehicles nominal
```

Not:

```text
UAV-01 telemetry...
UAV-02 telemetry...
UAV-03 telemetry...
...
```

You want **exception-based operations**.

Normal things disappear into the background.

Abnormal things rise to the surface.

---

# 23. Make the fleet visually "alive"

Games do this extremely well.

Don't make aircraft icons static.

Their visualization should communicate:

* direction
* velocity
* task
* health
* connectivity
* group
* attention state
* trajectory
* future intent

For example:

```text
       ╭────── planned route
       │
       │       ●
       │      ↗
       │    ↗
       ●───→
```

And groups could have subtle visual identities.

Not overly colorful arcade graphics — **information-rich tactical graphics**.

---

# 24. But don't copy the "game HUD"

This is an important warning.

A common mistake would be:

> "Let's make a military-looking game UI."

That usually means:

* dark background
* neon green
* tons of icons
* radar
* glowing circles
* tiny text
* dozens of panels

That can look cool and be terrible to operate.

Your goal should instead be:

> **game-grade interaction model + aviation-grade information hierarchy**

Not:

> game aesthetics.

---

# 25. One particularly interesting idea: "command stack"

Imagine the operator selects 12 UAVs and gets:

```text
ALPHA / 12

CURRENT
────────────────────
SEARCH AREA A

NEXT
────────────────────
RETURN

QUEUED
────────────────────
RECHARGE
SEARCH AREA B
```

The operator can manipulate this like a task queue.

Drag:

```text
SEARCH A
RETURN
SEARCH B
```

into:

```text
SEARCH A
SEARCH B
RETURN
```

This is much easier to understand than editing waypoint lists.

---

# 26. Add "formation as a first-class object"

Games such as Supreme Commander expose formation movement and queued commands for groups. ([supcom.fandom.com][3])

For your system, don't make formation a hidden parameter.

Make it visible:

```text
ALPHA

       ●   ●
     ●   ●   ●
       ●   ●

FORMATION
[ GRID ] [ LINE ] [ COLUMN ] [ CUSTOM ]
```

Then the operator changes the **group relationship**, rather than individually manipulating vehicles.

For real-world systems, obviously keep vehicle-specific safety/operational constraints authoritative; the formation UI should express intent, not bypass those constraints.

---

# 27. Create "roles" inside groups

Suppose you have:

```text
ALPHA — 12 UAVs
```

Don't necessarily make all 12 equivalent.

The group could contain:

```text
LEAD       1
SCOUT      4
RELAY      2
SEARCH     4
RESERVE    1
```

The UI represents **roles**, not just vehicles.

If one aircraft fails:

```text
RELAY
2 → 1

Replacement available:
UAV-38
```

This is much closer to how a human thinks about a coordinated system.

---

# 28. Think of autonomy as the game's "AI"

The most important design question is:

> **What should the operator have to do manually?**

The answer should be: as little as possible.

The GCS should handle:

* resource allocation
* vehicle selection
* route generation
* task reassignment
* constraint checking
* health monitoring
* conflict detection
* synchronization
* status summarization

The operator handles:

* intent
* priorities
* approvals
* exceptions
* high-level decisions

That's the real leap from "50 drones controlled by 5 people" to something that can actually scale.

A current commercial example, SolGCS, explicitly describes fleet-scale monitoring/control, multi-pilot collaboration and automated path computation for groups of UAVs. ([sol.one][1])

---

# 29. My proposed information architecture

I'd seriously prototype something along these lines:

```text
                         MISSION
                            │
              ┌─────────────┼─────────────┐
              │             │             │
            TASKS         FLEET         USERS
              │             │             │
         ┌────┴────┐    ┌───┴────┐    ┌───┴────┐
         │         │    │        │    │        │
       Task A    Task B Group A  B  Operator 1 2
                           │
                     ┌─────┼─────┐
                     │     │     │
                   UAV1  UAV2   UAV3
```

And the main UI:

```text
┌────────────────────────────────────────────────────────────┐
│ MISSION      FLEET 48/50      ALERTS 3       USERS 5       │
├────────────────────────────────────────────────────────────┤
│                                                            │
│                       MAP                                  │
│                                                            │
│       [ALPHA] ● ● ●                                       │
│                ● ●                                        │
│                                                            │
│                     [BRAVO] ● ● ● ●                       │
│                                                            │
│                              [TASK 17]                     │
│                                                            │
├────────────────────────────────────────────────────────────┤
│ SELECTED: ALPHA                                            │
│ 12 VEHICLES │ SEARCH │ 82% │ OP: ALEX                     │
│                                                            │
│ [TASK] [MOVE] [HOLD] [GROUP] [TRANSFER] [DETAILS]         │
└────────────────────────────────────────────────────────────┘
```

The UI stays extremely simple until the user asks for complexity.

---

# 30. The three-layer UI I would prototype first

### Layer 1 — Strategic

**"What's happening?"**

```text
Fleet health
Mission progress
Tasks
Alerts
Operators
Groups
```

### Layer 2 — Operational

**"What needs to happen?"**

```text
Select group
Assign task
Modify task
Reassign resources
Resolve conflicts
```

### Layer 3 — Vehicle

**"What is this machine doing?"**

```text
Telemetry
Flight status
Navigation
Payload
Health
Logs
Configuration
```

The mistake I'd avoid is exposing Layer 3 all the time.

---

# 31. Games I'd put on your team's research list

I'd actually have the UX team **play these, not merely look at screenshots**.

| Game                                        | What to study                                                                  |
| ------------------------------------------- | ------------------------------------------------------------------------------ |
| **Supreme Commander / Forged Alliance**     | ⭐ Strategic zoom, huge fleet management, control groups, multi-unit commands   |
| **StarCraft II**                            | Selection, hotkeys, control groups, command queues, extremely fast interaction |
| **Company of Heroes 2**                     | Squad abstraction, contextual commands, tactical map, unit cards               |
| **Homeworld Remastered**                    | 3D spatial management, formations, fleet organization                          |
| **Total War: Warhammer III**                | Massive unit-card organization, army hierarchy, tactical/strategic layers      |
| **Command & Conquer: Generals / Zero Hour** | Fast RTS interaction and simple command vocabulary                             |
| **Ashes of the Singularity**                | Very large numbers of units and hierarchical control                           |
| **Beyond All Reason**                       | Massive-scale unit control, groups, strategic zoom                             |
| **Planetary Annihilation**                  | Extremely large-scale strategic management and multi-planet abstraction        |
| **Anno 1800**                               | Complex systems presented through understandable hierarchical UI               |
| **Oxygen Not Included**                     | Exception/attention management and system visualization                        |
| **Frostpunk**                               | Information prioritization and communicating system state                      |
| **FTL**                                     | Managing multiple simultaneous problems with limited attention                 |
| **XCOM 2**                                  | Clear tactical information hierarchy and action confirmation                   |
| **Door Kickers 2**                          | Planning → execution separation and visual task sequencing                     |

If you only have time for **five**, I'd choose:

### 1. Supreme Commander

### 2. StarCraft II

### 3. Company of Heroes

### 4. Homeworld

### 5. Total War

Those five cover most of the interaction patterns you're interested in.

---

# 32. And there's a very interesting "bonus game": Factorio

I would absolutely have someone on the team study Factorio.

Not because of its RTS combat.

Because of its **automation philosophy**.

The fundamental question in Factorio is:

> "Why am I manually doing this repeatedly when I can define a system that does it for me?"

That's exactly the question your GCS should ask.

Instead of:

> "Operator, tell UAV 23 to do X."

you want:

> "Operator, define what outcome you want."

Then the system handles the repetitive orchestration.

---

# 33. Another surprisingly useful reference: Dwarf Fortress

Again, not for aesthetics.

For **information density and hierarchical abstraction**.

A complex world can contain thousands of entities, but the user doesn't need to interact with all of them simultaneously.

That's precisely the problem with 50+ vehicles.

---

# 34. The ultimate design principle

I'd put this on the wall of your UX team's room:

> ### **Don't make the operator control 50 vehicles.**
>
> ### **Make the operator control 5 intentions.**
>
> ### **Make the system turn those intentions into 50 vehicle behaviors.**

That's the difference between a conventional GCS and what you're describing.

The current generation is already demonstrating pieces of this direction: fleet-oriented GCS products emphasize common mission views, multi-operator collaboration, vehicle-agnostic orchestration and centralized/decentralized autonomy. ([ARA][5])

Your opportunity is to combine that with the **interaction design maturity of RTS games**.

---

## If I were designing the product from scratch

I'd make these **10 concepts foundational**:

1. **Mission** — the shared workspace.
2. **Task** — what needs to happen.
3. **Group** — a semantic collection of vehicles.
4. **Vehicle** — the physical asset.
5. **Role** — what a vehicle contributes to a group.
6. **Operator** — human identity and authority.
7. **Command lease** — temporary authority over an object.
8. **Intent** — high-level desired behavior.
9. **Constraint** — what the system must never violate.
10. **Event/history** — who changed what and why.

Then build the UI around:

**Select → Inspect → Assign → Preview → Confirm → Observe → Exception → Reassign**

rather than:

**Click UAV → open panel → change parameter → click save → repeat 50 times.**

That, in my opinion, is the real lesson to take from RTS games.

And there's a potentially excellent product vision hidden in your question: **a "multiplayer RTS" interaction model sitting on top of a rigorous shared mission/state/authority architecture**, where the game-like part makes complexity comprehensible but the underlying system remains deterministic, auditable, constraint-aware, and safety-first.

[1]: https://www.sol.one/gcs?utm_source=chatgpt.com "Sol Ground Control Station"
[2]: https://news.blizzard.com/en-us/article/6640645/game-guide-simplified-controls?utm_source=chatgpt.com "Game Guide: Simplified Controls — StarCraft II — Blizzard News"
[3]: https://supcom.fandom.com/wiki/Controls?utm_source=chatgpt.com "Controls | Supreme Commander Wiki | Fandom"
[4]: https://www.chasemurray.com/research/multi-user-multi-vehicle-mission-control-m3c/?utm_source=chatgpt.com "Multi-user Multi-vehicle Mission Control (M3C) | Chase Murray | UAVs and Operations Research"
[5]: https://www.ara.com/mpms/?utm_source=chatgpt.com "MPMS - ARA"