Three-stage workflow
Capture, target selection, and robot-specific retargeting should be discussed as separate stages.
ROBOT MOTION
Robot retargeting workflow from video
Plan a video mocap workflow that keeps robot targets, animation targets, and custom avatars clearly separated.
For teams comparing robot retargeting workflows from human video.
Short answer
Robot retargeting from video is a planning workflow: AIMoCap can provide target-aware motion artifacts, while robot-specific retargeting constraints are handled downstream.
When to use AIMoCap
Use AIMoCap when you want to separate video mocap processing from later robot retargeting, simulation, and control decisions.
When not to use AIMoCap
Do not use it as a replacement for robot kinematics, dynamics, controller tuning, or hardware safety validation.
Robot retargeting workflow queries often mix three things: capturing source motion, selecting a target, and adapting that motion to a robot.
AIMoCap helps with the first two steps by processing readable source video and producing target-aware outputs for review.
The downstream robotics stack remains responsible for retargeting constraints, feasibility checks, and the final control strategy.
Robot retargeting facts
- AIMoCap is not a full robot retargeting solver or controller.
- Target-aware output helps keep animation, custom-avatar, and robot workflows separate.
- Robot retargeting depends on kinematics, contacts, balance, and safety checks outside AIMoCap.
- A short source clip is easier to inspect before downstream adaptation.
- Unitree G1 is the public robot target; other robots require integration planning.
Retargeting boundary
Use these facts to decide whether this workflow matches your output, integration, and cleanup needs.
Avoid false equivalence
A result that looks acceptable on a preview can still fail robot constraints.
Integration planning
Custom robot support should be treated as an engineering integration, not a generic page promise.
Robot retargeting planning workflow
01
Separate capture from retargeting
Use AIMoCap to process and review motion artifacts before robot-specific retargeting rules are applied downstream.
02
Choose the correct target class
Keep Default animation output, Unitree G1 robot output, and custom avatar output conceptually separate.
03
Validate target constraints
Check joint ranges, contacts, timing, and stability in the downstream robot or simulation environment.
Common questions
Does AIMoCap solve robot retargeting end to end?
No. AIMoCap can provide motion artifacts and target-aware outputs, while robot retargeting constraints remain downstream.
Why separate robot targets from custom avatars?
Custom avatars are animation-character targets. Robot targets have different output and validation requirements.
Can this workflow use the API?
Yes. API jobs can request supported targets and keep automated usage in API v-credit accounting.
Related AIMoCap guides
Continue through this topic cluster to compare output formats, API options, and workflow boundaries.
Sources reviewed
Competitor details are summarized from public official pages and public community or review discussions. Community feedback is treated as directional signal, not as a universal product claim.