Motion Graph — Study Path Agent

Chapter 1

Foundations

1

Human motion basics (gaits, contacts, phases)

2

Kinematics & transforms (joint hierarchies, rotations, root motion)

3

Motion similarity metrics (pose, velocity, contact-aware distance)

4

Core graph algorithms (weighted graphs, shortest path, A*)

Chapter 2

Motion Data & Preprocessing

5

Motion capture representations & formats (BVH/FBX, skeleton conventions)

6

Data cleaning & retargeting

2 subtopics

7

Retargeting pipeline (scale, joint mapping, root alignment)

8

Denoising & gap filling (filtering, interpolation, outlier removal)

9

Segmentation & labeling (clips, turns, starts/stops)

10

Feature extraction for motion matching (windows, normalization, PCA/embeddings)

Chapter 3

Graph Construction

↗ Feature extraction for motion matching (windows, normalization, PCA/embeddings) (see Chapter 2)

11

Transition detection

3 subtopics

12

Threshold-based candidate transitions (distance + constraints)

13

Sequence alignment for transitions (DTW / time-warping ideas)

14

Contact-aware transition validation (foot/hand contacts, balance checks)

15

Node/edge design (states, transitions, annotations)

16

Alignment & blending for transitions (time-warping, pose alignment, blending windows)

17

Compression & indexing (pruning, clustering, LOD for motion graphs)

Chapter 4

Transition Search & Synthesis

↗ Core graph algorithms (weighted graphs, shortest path, A*) (see Chapter 1)

18

Path planning in motion graphs

3 subtopics

19

Cost design (energy, deviation from goal, transition penalties)

20

Shortest path vs A* planning (heuristics, admissibility intuition)

21

Multi-objective & constrained planning (Pareto, hard constraints)

22

Real-time traversal policies (reactive vs planned, replanning frequency)

23

Runtime blending & stitching (continuous playback, avoiding pops)

24

Artifact handling (foot sliding, drift, discontinuities)

Chapter 5

Control & Constraints

25

Footskate reduction & contact constraints

2 subtopics

26

Contact detection & labeling (events, phases, thresholds)

27

Constraint-based editing (pinning, constraint solve, post-process)

28

Inverse kinematics integration (end-effectors, joint limits)

29

Goal-directed control (targets, speed control, facing direction)

30

Terrain/physics adaptation (slope, steps, impulses, ragdoll handoff)

Chapter 6

Implementation & Evaluation

31

Engine integration (animation system, state machine/blend tree interop)

32

Performance profiling (memory layout, CPU budgets, caching)

33

Quality evaluation (smoothness, realism, task success metrics)

34

Datasets & reproducibility (benchmark sets, parameter sweeps, ablations)