Grasp and Manipulation
Object keypoints, affordances, and grasp points for pick-and-place tasks.
Data Annotation for Robotics and Physical AI
Help robots see, grasp, and move safely. Smart Annotahub labels manipulation, navigation, and teleoperation data across RGB, depth, and point cloud sensors.
AI Use Cases We Support in Robotics and Physical AI
Navigation and Mapping
Obstacles, free space, and semantic maps for mobile robots.
Action Segmentation
Step-by-step action labels on demonstration and teleoperation video.
Pose Estimation
6-DoF object pose and human pose for collaboration and safety.
Warehouse Automation
Parcels, pallets, and bins in cluttered logistics environments.
Failure Analysis
Tagging failed attempts and edge cases to improve policy training.
Annotation Services for Robotics and Physical AI
The data types robotics and physical ai teams send us most often. Every service starts with a free pilot.
How We Deliver Your Project
From your first sample to production volume, every project follows the same six-step path, with no commitment until the pilot proves the quality.
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Step 01
NDA and Discovery
We sign an NDA first, then clarify your goals, taxonomy, edge cases, and target accuracy for your dataset.
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Step 02
Free Pilot
We annotate a sample of your data at no cost, so you can judge quality, speed, and edge-case handling first-hand.
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Step 03
Proposal and Agreement
Based on your pilot feedback, we finalize scope, timeline, pricing, and the Service Level Agreement.
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Step 04
Team Setup and Training
We assemble a dedicated team, train it on your guidelines, and agree on communication channels and progress tracking.
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Step 05
Production Labeling
Our team runs annotation to the agreed plan, with throughput and accuracy KPIs tracked for every annotator.
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Step 06
QA and Delivery
Your labeled data pass multi-stage quality review before delivery. Your feedback feeds straight back into the guidelines.
Why AI Teams Choose Smart Annotahub
Reviews
From our Clients
“Their flexibility and ability to move fast impress us.”
We chose Smart Annotahub for its strong value, recommendation, and shared company values. Their 10-person team delivered accurate data annotation with a flexible, collaborative approach. They responded quickly, went the extra mile to meet deadlines, and kept the project on track. We’ve been very pleased with the experience and have no improvements to suggest at this time.
Project Manager
“They’re always willing to adapt quickly to our needs and help keep the project on track.”
The team is highly responsive and flexible, quickly adapting to our needs to keep the project on track. Clear, detailed annotation guidelines help them deliver accurate results faster.
Director
“Communication with the team is smooth, clear, and effortless.”
We chose Smart Annotahub for its expertise, openness to new ideas, and strong interest in autonomous vehicles. Their team provides consistent cuboid and polygon annotation for our growing image dataset, with responsive communication, attentive project management, and reliable quality assurance. We’re very pleased with the collaboration and look forward to continuing our work together.
Director of Engineering
Start with a free pilot
Tell us about your data and requirements. We'll return an annotated sample with a precise quote, usually within a few working days.
Thank you.
We’ve received your request and will be in touch soon.
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Robotics and Physical AI FAQs
Can you annotate teleoperation and demonstration data?
Yes. We segment demonstrations into actions and sub-tasks with precise timestamps, aligned to your task definitions.
Do you work with depth and point cloud data?
Yes. We label RGB-D and point clouds, including 3D keypoints and object pose.
How do you keep action labels consistent?
We define start and end rules for every action during the pilot and measure agreement between annotators on overlapping clips.
Can you support fast iteration cycles?
Yes. Small batches can be turned around quickly so labels keep pace with your training experiments.