5.6 KiB
5.6 KiB
id, title, category, status, canonical_id, aliases, duplicate_of, source_trust_level, confidence_score, verification_status, tags, raw_sources, last_reinforced, github_commit, tech_stack
| id | title | category | status | canonical_id | aliases | duplicate_of | source_trust_level | confidence_score | verification_status | tags | raw_sources | last_reinforced | github_commit | tech_stack | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| wiki-2026-0508-case-study-skybound-red-striker- | Case Study: Skybound Red Striker Jitter Stabilization | 10_Wiki/Topics | verified | self |
|
none | B | 0.8 | applied |
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2026-05-10 | pending |
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Case Study: Skybound Red Striker Jitter Stabilization
매 한 줄
"매 high-mobility air unit 의 input-jitter 와 매 stabilization 패턴". 매 War Commander 계열 PvP 에서 매 Skybound Red Striker (2024 meta unit) 의 매 micro-input 의 매 over-correction 문제와 매 community-developed mitigation pattern. 매 control-loop tuning 의 매 player-side case study.
매 핵심
매 문제
- Jitter origin: 매 player rapid taps → 매 unit pathfinding 의 매 oscillation.
- Symptoms: 매 unit 가 target 주위 매 spiral, 매 weapon cooldown 의 매 misalign.
- Skybound 특이: 매 vertical mobility + 매 narrow turn radius 의 결합.
매 stabilization 의 4 layers
- Input throttling: 매 client-side 100ms cooldown.
- Path smoothing: 매 bezier interpolation.
- Lock-on assistance: 매 acquired target 의 매 sticky.
- Player technique: 매 deliberate hold + reposition.
매 응용
- 매 PvP combat unit design.
- 매 control-system damping.
- 매 esports balance pass.
💻 패턴
Input throttle (client-side)
class InputThrottle {
private last_input_t = 0;
private readonly cooldown_ms = 100;
tryAcceptMove(target: Vec2, now: number): boolean {
if (now - this.last_input_t < this.cooldown_ms) return false;
this.last_input_t = now;
return true;
}
}
Bezier path smoothing
function smoothPath(waypoints: Vec2[]): Vec2[] {
if (waypoints.length < 3) return waypoints;
const out: Vec2[] = [waypoints[0]];
for (let i = 1; i < waypoints.length - 1; i++) {
const p0 = waypoints[i - 1];
const p1 = waypoints[i];
const p2 = waypoints[i + 1];
for (let t = 0; t <= 1; t += 0.1) {
const x = (1-t)*(1-t)*p0.x + 2*(1-t)*t*p1.x + t*t*p2.x;
const y = (1-t)*(1-t)*p0.y + 2*(1-t)*t*p1.y + t*t*p2.y;
out.push({ x, y });
}
}
out.push(waypoints[waypoints.length - 1]);
return out;
}
Sticky target lock-on
class TargetLock {
private target: Unit | null = null;
private locked_at = 0;
private readonly stick_ms = 1500;
acquireOrKeep(candidates: Unit[], now: number, prev_target: Unit | null): Unit | null {
if (prev_target && now - this.locked_at < this.stick_ms) {
const still_valid = candidates.find(c => c.id === prev_target.id);
if (still_valid) return still_valid;
}
const next = pickHighestPriority(candidates);
if (next) {
this.target = next;
this.locked_at = now;
}
return next;
}
}
Damping controller (over-correction 방지)
class DampedSteer {
private velocity: Vec2 = { x: 0, y: 0 };
private readonly damping = 0.85;
private readonly max_accel = 50;
update(current: Vec2, target: Vec2, dt: number): Vec2 {
const desired = { x: target.x - current.x, y: target.y - current.y };
const accel_x = clamp(desired.x - this.velocity.x, -this.max_accel, this.max_accel);
const accel_y = clamp(desired.y - this.velocity.y, -this.max_accel, this.max_accel);
this.velocity.x = (this.velocity.x + accel_x * dt) * this.damping;
this.velocity.y = (this.velocity.y + accel_y * dt) * this.damping;
return { x: current.x + this.velocity.x * dt, y: current.y + this.velocity.y * dt };
}
}
Telemetry: jitter detection
function detectJitter(input_log: { t: number; pos: Vec2 }[], window_ms: number): boolean {
const recent = input_log.filter(e => e.t > Date.now() - window_ms);
if (recent.length < 5) return false;
let direction_changes = 0;
for (let i = 2; i < recent.length; i++) {
const dx1 = recent[i-1].pos.x - recent[i-2].pos.x;
const dx2 = recent[i].pos.x - recent[i-1].pos.x;
if (Math.sign(dx1) !== Math.sign(dx2) && dx1 !== 0 && dx2 !== 0) direction_changes++;
}
return direction_changes > 4;
}
매 결정 기준
| 상황 | Approach |
|---|---|
| 매 fast-twitch unit | Input throttle + sticky lock |
| 매 slow tank | Damping 의 minimal |
| 매 esports tournament | Server-side path smoothing |
| 매 bot detection | Jitter pattern telemetry |
기본값: 매 input throttle 100ms + 매 sticky lock 1.5s.
🔗 Graph
- 부모: Evolution-of-the-War-Commander-Combat-Ecosystem
- 변형: Baiting-and-Combat-Controls · Anti-Air-and-Anti-Ground-Combat
- 응용: Combat_Balance_Buff · Defense-Buildings
- Adjacent: Damage-Resistance-Platforms
🤖 LLM 활용
언제: 매 control-system tuning, esports balance, jitter mitigation. 언제 X: 매 turn-based — 매 real-time control 의 X.
❌ 안티패턴
- Throttle 과다: 매 200ms+ → 매 sluggish feel.
- Lock 의 강제: 매 target switching 불가 → 매 frustration.
- Smoothing only: 매 input filtering 의 무시.
- Telemetry 없음: 매 jitter 의 invisible.
🧪 검증 / 중복
- Verified (War Commander community vods 2024-2025, KIXEYE forum case studies).
- 신뢰도 B (community case study).
🕓 Changelog
| 날짜 | 변경 |
|---|---|
| 2026-05-08 | Phase 1 |
| 2026-05-10 | Manual cleanup — Skybound Red Striker jitter case study + control-loop patterns. |