Latest robot

SOMA Arm

The latest robot on display is SOMA Arm. It is the first public robot used to validate ANIMA, real robot execution, and the broader embodied AI direction.

A tabletop language-driven robot arm project used to validate ANIMA's cognition loop, visual grounding, skill execution, and failure recovery.

SOMA Arm
Current public track

It is not the final product. It is the benchmark and manipulation capability layer on the path to home robotics.

First make language understanding, skill dispatch, visual validation, and real robot execution reliable. Then carry that stack into richer domestic environments and longer-horizon tasks.

SOMA Family

The currently public SOMA family robots

Two product lines in the current public SOMA family: SOMA Arm (tabletop chess manipulation) and SOMA Care (simulated-ward care). Both share the same ANIMA cognition framework.

ANIMA

The ANIMA cognition framework

This section mainly introduces ANIMA. It is the shared cognition framework responsible for language understanding, task structure, skill dispatch, and result validation across the SOMA robot line.

Cognition framework · v0.1.0

ANIMA

A
utonomous
N
atural-language
I
nstruction
M
apping
A
rchitecture

Turn upstream signal into verifiable, dispatchable, recoverable robot action.

Signal inputs
textvoiceBCIvision
Action guarantees
VerifiableDispatchableRecoverable
Ships as a standalone pip-installable Python library · jeffliulab/anima
Core structure
L5
Assessment

Five-factor self-assessment (ITA/MQA/SQA/GOA/PEA), event-triggered — not continuous logging

L4
Adapter

LLMToolCaller + EmbodiedAdapter protocols decouple the embodiment

L3
Skill

py_trees behavior-tree runtime · Function-Calling + Affordance Scoring

L2
Planner

TaskSpec orchestrated into an executable behavior tree

Test-and-Check · 6 gates
JSONIntentSkillParamsSafetyPrecond.
L1
Parser

LLM-as-Parser — forced tool-calling emits TaskSpec JSON

L0
Signal

Upstream signal entry — text / voice / BCI / vision

Five-factor self-assessment (event-triggered)
ITAIntent TruthMQAMission QualitySQASkill QualityGOAGoal OutcomePEAPersistent Effect
Development Progress

Latest development progress

The homepage now shows only the latest progress updates, while the full version-based development log remains on the Devlog page.

Latest timeline
2026-04-21ANIMA

ANIMA v0.1.0 — first reference implementation shipped

The L0–L5 six-layer stack, six-gate Test-and-Check, and five-factor self-assessment (ITA / MQA / SQA / GOA / PEA) now ship together as a standalone pip-installable Python library at jeffliulab/anima.

2026-04-21SOMA Care

SOMA Care v0.4 kicked off — second product line plugs into ANIMA

Simulated-ward ADL intent-to-action loop; six intents running end-to-end; parallel to soma-arm and sharing the same ANIMA cognition framework.

2026-04-14 ~SOMA Arm

V1.01 — Perception Foundation

Camera parameter lock, intrinsic calibration, eye-to-hand calibration, world coordinate grounding, workspace reachability validation.