A growing reference for understanding embodied AI and humanoid robotics: definitions, equations, practical examples, and connections between ideas.
These are working notes. Entries identify whether sources still need to be added and whether the explanation has been reviewed.
Use Search to find a concept by name or browse the topic guides and alphabetical terminology index below. Backlinks and the graph reveal connections as this knowledge base grows into longer articles.
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- Foundations and representations
- Policies and predictive models
- Learning and data
- Humanoid motion and control
- Generalization and evaluation
Terminology A–Z
- Action chunk —
EA-010 - Action Chunking with Transformers (ACT) —
EA-011 - Action space —
EA-004 - latent action —
EA-005 - Affordance —
EA-007 - Behavior cloning (BC) —
EA-015 - Benchmark —
EA-029 - DAgger —
EA-017 - Dataset lineage —
EA-027 - Diffusion policy —
EA-012 - Embodied AI —
EA-001 - Embodiment —
EA-002 - trajectory —
EA-020 - Goal conditioning —
EA-006 - Imitation learning (IL) —
EA-016 - Impedance control —
EA-025 - Mean per-joint position error (MPJPE) —
EA-031 - Motion retargeting —
EA-022 - Observation space —
EA-003 - Out-of-distribution (OOD) evaluation —
EA-028 - Policy —
EA-008 - Receding-horizon control —
EA-014 - Reinforcement learning (RL) —
EA-018 - Residual policy —
EA-024 - Sim-to-real transfer —
EA-026 - Success predicate —
EA-030 - Tracking policy —
EA-019 - Vision-language-action model (VLA) —
EA-009 - Whole-body control (WBC) —
EA-021 - loco-manipulation —
EA-023 - World model —
EA-013