Animal Party Physical Review · Vol. 25, No. 3

基于多轴物理反馈与时空窗口拟合的《猛兽派对》动作后摇规避与防守反击策略研究 Spatiotemporal Modeling and Active Mitigation of Post-Swing Recovery Frames in Party Animals: A Physical Feedback and Counter-Attacking Perspective

猫九岁 / Jiuxui Mao 1
1 猛兽派对大学 计算机与人工智能学院 "爬不了 peak 班", 成都 610000 1 "Can't Climb Peak" Class, School of Computer Science and Artificial Intelligence, Party Animals University, Chengdu 610000, China
摘要Abstract

本文针对基于高度拟真物理引擎的多人乱斗游戏《猛兽派对》(Party Animals)中,角色在执行重击、飞踢、头锤等核心招式后存在的严重行动硬直(下文称“动作后摇”,Post-Swing/Recovery Frames)现象进行了深入的时空窗口分析与建模。通过量化各种动作物理序列中碰撞体(Colliders)解耦与重心相变过程,本文推导出了防守反击策略的最优解窗口。研究揭示,通过合理运用“翻滚取消(Roll Canceling)”身法,可大幅缩短行动硬直窗口,提高生存率。本文的成果为高级陪玩在应对瞬息万变的多人战局、解救雇主(老板)于生死危机时提供了系统性的力学理论框架与实践指南。

This paper presents a systematic analysis of the post-swing recovery frames (action cooldown and ragdoll phases) in the physics-based brawler game "Party Animals". We analyze the physical decoupling of rigid colliders and gravity-induced torque variations during key actions (e.g., flying kicks, heavy punches, and headbutts) to optimize counter-attacking frames. We show that "Roll Canceling" effectively cuts down post-swing vulnerability windows by up to 75%, thereby enhancing survivability by 42.7% and counter-attack success rates by 35.2%. Our findings establish a robust mechanical framework for senior playmates to protect employers (bosses) from fatal in-game crises.

关键词:Keywords: 猛兽派对;动作后摇;物理引擎;飞踢规避;防守反击;温良恭俭让 Party Animals; Post-Swing; Physics Engine; Flying Kick Mitigation; Counter-Attack; Temperance

1. 引言 1. Introduction

在基于物理布娃娃(Ragdoll)骨骼交互系统的动作竞技游戏《猛兽派对》中,角色的每一个肢体冲突都遵循经典的格斗力学运动方程。游戏的精妙之处在于,高输出的动作往往伴随着极高的物理惩罚,即动作执行完毕后,骨骼关节点锁死或处于瘫痪硬直状态,这一时间段在格斗游戏学术界被称为动作后摇(Post-Swing)。在以多关节剛体动力学为核心的拟真物理世界中,传统动作游戏中基于静态 2D 碰撞盒的帧数据判定已不再适用。物理引擎(基于 Unity PhysX)会对各个小动物刚体块进行动态力矩求解,每一个撞击、摩擦以及质心摆动均呈现出高度的非线性与非确定性特征。

In physics-driven brawler games utilizing Ragdoll skeleton systems like "Party Animals", every skeletal impact obeys classical mechanics. The design complexity lies in the trade-off where high-impact moves generate substantial physical penalties: upon action completion, joint anchors lock or enter limp state, academically termed as Post-Swing Recovery Frames. In a realistic simulation dominated by multi-joint rigid body dynamics, traditional fighting game frame data based on static 2D hurtboxes is no longer applicable. The physics engine (based on Unity PhysX) resolves dynamic torques for each animal rigid body link, showing high degrees of freedom, non-linearity, and non-deterministic behavior.

为了在激烈冲突中模拟生物真实性,游戏底层通过物理约束驱动,使动作施放完毕后的骨骼模型必须消化多余动能。此时,小动物将经历短暂的不可控制期。在高级陪玩(Senior Playmate)的工作场景中,岗位职责要求陪玩人员随时应对战局中的各种极端状况。如果陪玩自身因动作后摇陷入硬直,不仅容易被对手抓住破绽扔下平台,还将彻底失去救助遇险老板的能力。因此,深入探讨后摇的数学模型与规避身法规划,不仅是玩家提高上限的核心阶梯,也是高水平陪玩团队的一项核心理论建设。

To simulate biological realism under high-impulse collisions, the engine utilizes constraint drives, forcing the skeletal mesh to dissipate residual kinetic energy after high-impact strikes. During this time, characters enter an uncontrollable frame window. In the professional scope of a Senior Playmate, duty guidelines dictate that the playmate must mitigate high-risk situations to protect the employer (the Boss). If the playmate enters a prolonged post-swing vulnerability state, they risk being eliminated, failing their core duty of protecting the Boss and providing immediate emotional reassurance upon the Boss's elimination. Thus, quantitative mapping of recovery frames and active mitigation planning represents a cornerstone of tactical playmate positioning.

传统的基于骨骼动画的姿态控制可以抽象为在 generalized joint state space $\mathbf{x} = [\mathbf{q}^T, \dot{\mathbf{q}}^T]^T$ 中的最优轨迹追踪。然而,一旦发生剧烈的物理交互(如空踢接地或被眩晕重击),驱动关节的力矩控制器将进入饱和状态(Actuator Saturation),运动转由完全被动的 Ragdoll 物理接管。在这个状态转移过程中,如何通过预先输入的离散摇杆指令及动作微调实现阻尼重整,是缩短硬直的核心技术瓶颈。

Traditional animation-driven pose control can be abstracted as tracking optimal trajectories within the generalized joint state space $\mathbf{x} = [\mathbf{q}^T, \dot{\mathbf{q}}^T]^T$. However, when a violent physical interaction occurs (such as whiffing a kick onto the floor or getting stunned), the joint torque controllers reach actuator saturation, and motion transitions to passive ragdoll physics. In this state transition, how to leverage pre-buffered directional inputs and micro-timing triggers to reform joint damping constitutes the core technological bottleneck for recovery frame reduction.

2. 核心招式后摇时空建模 2. Spatiotemporal Modeling of Post-Swing

动作周期的演化由前摇阶段(Wind-up)、判定激活阶段(Active Frame)、动作后摇硬直(Post-Swing Recovery)以及彻底失控瘫痪相(Ragdoll State)四个连续区间构成。以下我们以游戏内使用频次最高、伤害最大的核心技能“飞踢 (Flying Kick)”进行受力与时空动态拟合。

The movement cycle of high-impact actions spans four successive temporal domains: the Wind-up phase, the Active Hitbox frame, the Post-Swing recovery, and the involuntary Ragdoll phase. Here we formulate the physical trajectory and force vectors of the most prominent move: the Flying Kick.

图 1. 飞踢(Flying Kick)动作相位时空演化图谱 Fig 1. Spatiotemporal phases of the Flying Kick animation 点击分段查看物理分析 Click segments for analysis
前摇Wind-up
击中Active
后摇Post-Swing
僵直Ragdoll
0s 0.2s 0.55s 1.05s 1.4s
前摇期 (Wind-up Phase): 动物双足下蹲,物理引擎计算向上的瞬时重冲量,并在斜上方 45 度角获得初始弹射速度。此期间由于尚未击出判定,极易被对手的铁铲或重拳截断。 Wind-up Phase (0.0s - 0.2s): The character crouches as the physics engine calculates upward acceleration, launching the character at a 45-degree angle. Lacking active hitboxes, this phase is highly vulnerable to incoming attacks.

在前摇阶段,下肢关节弹簧控制器积蓄势能。起跳瞬间,质心(Center of Mass)以与地面成大约 $35^\circ$ 至 $45^\circ$ 的投射角腾空,初速度矢量大小为 $v_0 \approx 4.8\text{ m/s}$。若在空中未碰撞任何刚体表面,角色处于空踢(Whiff)状态。当双腿碰撞体与地面相接时,角色将承受极高的地面反作用力(GRF)。为消化垂直向下的动量分量,关节发生强制弯曲与锁死,产生不可中断的反冲后摇动画。

During the wind-up phase, lower limb spring joints compress, accumulation potential energy. Upon takeoff, the CoM ascends with a launch angle $\theta \approx 35^\circ - 45^\circ$ and an initial velocity vector $v_0 \approx 4.8\text{ m/s}$. Whiffing the kick means no target collision occurs. Upon grounding, the character absorbs a massive Ground Reaction Force (GRF). To digest this vertical momentum, joints undergo forced flexion and locking, prompting the uncancelable rebound recovery animation.

不同的动物模型由于配置的物理参数(质量、惯性矩、接地摩擦力)各异,其后摇阻尼表现也不同。以下表 1 展示了实验测试中各典型动物的物理特征参数对后摇曲线的基准影响:

Different animal models show varying damping performance due to differences in physical parameters (mass, moment of inertia, ground friction). Table 1 outlines the baseline impact of typical animal assets on the post-swing curve:

动物资产名称Animal Model 刚体质量 (kg)Rigid Mass (kg) 基本摩擦系数Friction Coefficient ($\mu$) 后摇衰减因子Decay Factor ($\alpha$) 空踢易损时长 (s)Whiff Vulnerability (s)
Gorilla (Barbie) 22.5 0.62 0.85 1.65
Dino (Underbite) 18.0 0.58 0.72 1.45
Puppy (Nemo) 12.5 0.55 0.54 1.25
Cat (Macchiato) 11.0 0.55 0.48 1.18

接地瞬间的反作用扭矩与重力加速度引发的碰撞振荡直接决定了后摇硬直时长,其完整的易损时间窗口由公式(1)进行数学建模:

The grounding impact torque and gravitational oscillation dictate recovery duration. This temporal vulnerability window is defined by Eq. (1):

$$T_{\text{vulnerable}} = T_{\text{post}} + T_{\text{ragdoll}} - \Delta t_{\text{cancel}}$$
(Eq. 1)

在此模型中,$T_{\text{post}}$ 表示接地反冲缓冲的固定动画时长,通常取决于动物角色的质量常数;$T_{\text{ragdoll}}$ 表示由于接地冲击导致动量矩失衡触发的骨骼关节点软化(Ragdoll)的额外惩罚时长;$\Delta t_{\text{cancel}}$ 则表示由于玩家方向干预、提前触发取消操作所抵消的物理硬直增益时间。对于空踢接地这种典型状况,$T_{\text{post}} + T_{\text{ragdoll}}$ 的累加构成了一个操作真空区,角色完全无法移动。我们的核心研究目的是通过精确的身法指令序列输入,最大化 $\Delta t_{\text{cancel}}$,最终实现将易损窗口收缩到极致的目的。

In this framework, $T_{\text{post}}$ is the default landing recovery animation, highly dependent on the character mass coefficient; $T_{\text{ragdoll}}$ denotes joint limpness duration from gravitational momentum overload; and $\Delta t_{\text{cancel}}$ represents the reduction duration achieved via active player inputs. The summation of $T_{\text{post}}$ and $T_{\text{ragdoll}}$ creates a physical void where user commands are ignored. Our research aims to maximize the input cancel value $\Delta t_{\text{cancel}}$ to collapse this window entirely, instantly returning the skeletal state to active user control.

3. 主动规避身法规划与防守反击 3. Active Mitigation Algorithms & Counter-Attacking

基于上述物理模型,本文提出两种高效的主动后摇相消技巧,无需借助任何辅助输入软件,完全依赖物理操作:

Building on the spatiotemporal model, we propose two physics-compliant mechanical techniques that do not rely on third-party macro tools:

3.1 翻滚提前中断法(Roll Canceling) 3.1 Roll Canceling Mechanism

根据我们的实验观察,动作后摇并非不可干预。当角色脚部碰撞体触地的前 3 帧内(通常在 $60\text{ Hz}$ 帧率下表现为 $50\text{ ms}$ 的超窄窗口),向斜前方输入方向并将重心向一侧滑动,同时触发“翻滚键(Roll)”,物理引擎的下蹲缓冲动画将被强制重定向为地面的水平滚动。这被称为翻滚取消(Roll Canceling)

Based on our empirical observations, post-swing animation states are highly steerable. If the player inputs a diagonal directional stick vector and triggers the "Roll" action within the first 3 frames of ground impact (a narrow window of approximately $50\text{ ms}$ at $60\text{ Hz}$), the physics engine is forced to bypass the vertical landing shock animation, converting it into a horizontal roll. This technique is defined as Roll Canceling.

在翻滚取消执行瞬间,动作状态机跳过了阻尼极高的下蹲接地阻尼状态,转而将垂直冲量通过旋转力矩矩阵投影到水平面上。翻滚期间,角色的摩擦系数发生跃迁,使剩余动能转化为水平滚动距离,不仅缩短了 75% 的硬直滞后,还使角色迅速脱离了对手的受击攻击弧线。

At the moment of Roll Cancel activation, the pose controller skips the high-damping crouch state, projecting vertical impulses onto the horizontal plane. During the roll phase, the character's ground friction coefficient undergoes a phase transition, utilizing residual momentum to slide horizontally. This bypasses 75% of the landing recovery delay and displaces the character away from the opponent's counter-attacking arc.

3.2 逆向重心位移控制(Active Balance Control) 3.2 Active Balance Control for Heavy Punches

在进行重拳(Heavy Punch)挥动时,动物重心会产生明显的向外侧倾斜,并伴随前掠 0.2 米的位移。防守端身法规划要求:在对手右勾拳起手瞬间,我方不退反进,向对手左侧后方 135 度角垫步。在此空间坐标下,正好处于对手重拳判定体的盲区,且对方挥空后将陷入长达 0.45 秒的扭矩失衡后摇期。此时,我方可立即起手投掷,达成完美防守反击。

During heavy punch execution, the character's center of mass displaces outward by approximately 0.2 meters. A defensive counter-play requires shifting toward the opponent's rear-left quadrant at a 135-degree angle during their wind-up. This positions the defender in the hitbox blindspot, exposing the opponent's 0.45-second torque imbalance for an immediate counter-throw.

当防守反击窗口开启时,我们通过向偏转质心反向施加作用力,使被击飞概率降低,这被称为逆向重心重置。如果成功抓取到失衡状态下的对手,可通过旋转角速度守恒定律公式(公式 1a)计算出最大抛投初速度:

When the counter-attack window opens, applying force counter-wise to the shifted CoM mitigates recoil. If the player successfully grabs the imbalanced opponent, the maximum throw velocity can be formulated under the conservation of angular momentum (Eq. 1a):

$$\omega_t = \frac{I_1 \cdot \omega_0}{I_2 + m_{\text{target}} \cdot r^2}$$
(Eq. 1a)

通过这一力学传递过程,小动物可以利用全身力量在后摇结束前将对手狠狠抛出,确保其 100% 出局。

Through this kinetic transfer, players can channel total torque to hurl opponents far beyond the platform before they regain control.

4. 帧级取消反应时间实验 4. Reaction Cancel Simulation Experiment

为了验证陪玩人员在复杂战场中把握“后摇规避窗口”的反应灵敏度,本实验室开发了这套“后摇规避反应速度模拟测试机”。请在飞踢落地后摇(红色条)亮起的瞬间,以最快速度按下“翻滚取消”按钮。系统将评测你的时空交互帧率响应。

To measure reaction performance under competitive scenarios, we designed the "Post-Swing Roll Cancel Simulator" below. Click the action button as soon as the red post-swing zone lights up to test your timing threshold.

后摇规避反应速度模拟测试机 Post-Swing Roll Cancel Reaction Trainer 最高评级: 暂无Best Rating: None
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点击右侧按钮开始测试 ⏱️ Click the button to start ⏱️

本测试机用于评估玩家在复杂的混乱混战中对于动作相变的微秒级感应。当飞踢在滑空后接地瞬间,动作将立即转为红色的“动作后摇”状态。测试者的任务是在红色后摇信号亮起的 150 毫秒黄金窗口内,按下“翻滚取消”按钮。超过此时间,角色将因失去平稳性而摔倒眩晕,暴露在对手的攻击范围内。通过反复训练该反应机制,能形成高效的肌肉反射记忆,从而在战场中完美隐藏自身的破绽。实验数据表明,成功规避者其战局生存率提升了约 42.7%。

This simulator is designed to evaluate a player's millisecond-level sensitivity to skeletal state transitions during chaotic team fights. Upon ground impact, the active hitbox state transitions to the red "Post-Swing Recovery" phase. The subject's goal is to trigger the "Roll Cancel" button within the golden 150ms window. Exceeding this threshold causes the character to lose balance and fall, leaving them exposed to enemy counter-strokes. Consistent training with this simulator builds muscle memory to eliminate vulnerability frames in competitive environments. Experimental data shows successful cancels boost survivability index by 42.7%.

在统计学上,普通成年玩家面对红光闪烁的平均视觉反应时间(Visual Latency)在 $220\text{ ms} - 280\text{ ms}$ 之间,这使得无意识下的翻滚取消极为困难。必须借助条件反射训练,将对“屏幕进度条”的视觉反馈转化为对“角色起跳抛物线终点”的预先力学感知,使反应潜伏期缩短至 $150\text{ ms}$ 以内。这是评判一名陪玩人员是否具备“高级(Senior)”资质的核心客观指标。

Statistically, the average visual response latency of adult gamers ranges between $220\text{ ms}$ and $280\text{ ms}$, making manual cancel timings difficult without conditioning. Elite training programs aim to transition a player's focus from reactive visual tracking to proactive physical trajectory prediction, shaving latency down below $150\text{ ms}$. This benchmark serves as a dividing indicator between novice and senior playmates.

5. 陪玩应急战术与黑洞生存应用 5. Playmate Tactical Screening & Black Hole Lab Dynamics

上述后摇与身法理论在特定的极难地图环境下有着极其亮眼的表现:

The tactical application of phase cancelation shines in high-hazard arenas:

“黑洞实验室”地图为例,地图中的周期性重力异常会导致传统地面摩擦力丧失,从而大幅增加后摇动作的物理非线性。当黑洞引力开启时,常规躲避手段几乎无效。本研究提出:在失重前摇阶段,主动跳跃并使用重击,利用右勾拳带来的反冲力矩抵消上升势能,可实现原地低位悬浮。同时,当老板不幸被黑洞引力捕获面临下坠危机时,陪玩人员应立即利用“黑洞实验室”边缘铁链的锁定区,自身化为“人肉重力阻尼器”。在单手锁死铁链的前提下,释放另一只手抓取处于浮空硬直的老板。此应急策略的力矩公式如下(公式 2):

In the "Black Hole Lab", periodic gravity variations disrupt standard friction parameters. Under zero-gravity states, any whiffed attack causes characters to float uncontrollably in 3D space, compounding animation recovery variables. We propose launching a jump heavy punch during the transition phase, utilizing the vertical counter-torque of the punch to anchor coordinates in mid-air. Furthermore, if the employer falls into the gravitational well, the playmate must leverage chain grab-boxes to serve as a human kinetic anchor, securing the chain with one arm while catching the float-locked employer with the other. The tension equation is modeled in Eq. (2):

$$F_{\text{hold}} = M_{\text{boss}} \cdot (g - a_{\text{gravity}}) + \mu \cdot F_{\text{chain}}$$
(Eq. 2)

在该引力力矩平衡模型中,$M_{\text{boss}}$ 为雇主(老板)的刚体质量,$\mu$ 为边缘铁链阻尼系数,而 $a_{\text{gravity}}$ 为黑洞奇点瞬时加速度。当 $a_{\text{gravity}}$ 激增时,陪玩小动物单手锁死铁链,将身体的动力学势能转化为反向抗拉力 $F_{\text{hold}}$。该机制使得老板能以 100% 的生还率在引力爆发期内完成重力规避,极大程度地保障了老板的排面与游戏体验,完美对齐了“温良恭俭让”中“恭”(以老板安全为至高宗旨)的职业操守要求。

In this tension model, $M_{\text{boss}}$ is the rigid body mass of the Boss, $\mu$ represents the chain friction coefficient, and $a_{\text{gravity}}$ is the instantaneous gravitational acceleration toward the black hole. When $a_{\text{gravity}}$ surges, the playmate locks onto the chains, converting body potential energy into counter-pulling force $F_{\text{hold}}$. This mechanism guarantees 100% employer retrieval during gravitational pulses, protecting playmate positioning and adhering to the "Respect" (safeguarding the Boss's experience above all else) tenet of playmate professionalism.

除了重力脱逸,本项身法研究还发现,在引力溢出瞬间,黑洞实验室中央平台表面的动摩擦力因垂直正压力归零而降为零。在这个微秒级的相变期内,若强行执行飞踢,动量会无损失地平移传递,其后摇阻尼时间将被完全抑制。这允许高级陪玩人员在此地图中利用“飞踢冲撞滑行”来达成全地图巡航,在黑洞闭合前将所有对老板构成威胁的敌人清理出场。

Additionally, during gravity nullification, static friction drops to zero. Within this microsecond transition window, any momentum executed via a flying kick translates into lossless linear translation. This permits senior playmates to utilize whiffed kicks for cross-map sliding locomotion, effectively clearing out threats before the black hole opens.

参考文献References

  1. [1] 猫九岁. 猛兽乱斗动作物理学基础与身法宏的构建[J]. 创意工坊物理评论, 2025, 12(2): 45-53. Mao Jiuxui. Fundamentals of action physics and macro身法 construction in Party Animals [J]. Workshop Physical Review, 2025, 12(2): 45-53.
  2. [2] 趴地小恐龙. 基于Ragdoll物理骨骼动画的相变硬直阈值测量[J]. 猛兽派对大学学报, 2024, 8(4): 112-119. Padi Xiaokonglong. Ragdoll-based animation recovery frame phase threshold measurement [J]. Journal of Animal Party University, 2024, 8(4): 112-119.
  3. [3] 咸鱼突刺组. 经典力学框架下的飞踢轨迹方程与重力补偿拟合[M]. 猛兽派对学术出版社, 2023: 88-94. Xianyu Assault Team. Flying kick trajectory equations and gravity compensation modeling under classical mechanics [M]. Animal Party Academic Press, 2023: 88-94.
  4. [4] 好群友研究委员会. 陪玩场景下雇主出局心理干预与话术延迟补偿机制研究[J]. 情感交流与开麦艺术, 2025, 5(1): 12-19. Good Friends Research Board. Empathetic coping pipelines and voice delay compensation during employer elimination [J]. Journal of Emotional Voice Art, 2025, 5(1): 12-19.
  5. [5] 温良恭俭让课题组. 论网络陪玩中“老板”第一性原理与自我人格压制[J]. 现代网络社交与开麦礼仪, 2026, 3(1): 30-36. Temperance Research Group. The first-principles of "Bosses" and self-personality mitigation in online playmate systems [J]. Journal of Modern Social Etiquette, 2026, 3(1): 30-36.
  6. [6] 大眼大猩猩. 基于Unity PhysX的布娃娃关节驱动力矩与力反馈算法[M]. 虚拟物理交互技术, 2024: 154-162. Big-Eyed Gorilla. Ragdoll joint drive torques and force feedback algorithms based on Unity PhysX [M]. Virtual Physical Interaction Technology, 2024: 154-162.
  7. [7] 绿铲子爱好者协会. 猛兽乱斗快速模式下投掷道具弹道动力学拟合[J]. 竞技动作物理学报, 2025, 14(4): 210-218. Green Shovel Lovers Association. Projectile trajectory dynamics fitting under Party Animals quick play mode [J]. Journal of Competitive Action Physics, 2025, 14(4): 210-218.
  8. [8] 黑帆成就速通联盟. 联机航海战役中单人操控多缆绳与侧向火炮的最优射频规划[R]. 创意工坊技术报告, 2026. Black Sail Speedrunners. Optimal rigging and cannon deployment schedules in cooperative naval operations [R]. Workshop Technical Report, 2026.