Market demand research on dexterous manipulation data, services and dataset

This questionnaire aims to systematically understand the real needs of our clients (including startups and large technology enterprises) regarding dexterous manipulation data, providing a decision-making basis for building a hierarchical dataset library and SaaS service platform to offer better product services to clients with data need.
Company Name*
*
Location
*
Company Type
Robotics Startup (Founded Date）
Large Tech Company
Traditional Manufacturing Transformation
Research Institution/University
Other
*
Number of Employees
50
50-200
200-500
500-2000
＞2000
*
Current Development Stage
Proof of Concept（POC）
Product Development
Pilot Production
Mass Production
Market Maturity
Please describe specific tasks for your selected scenarios
e.g., camera module installation in 3C assembly, irregular object grasping in warehousing
*
Scenario 1：   
Scenario 2：
Scenario 3：
*
The most needed dexterous manipulation data types (ranked 1-5 by importance, with 1 being the most important)[Multiple]
Multi-modal sensor data (vision + tactile + force feedback)
Human demonstration trajectory data
Dexterous hand manipulation data
Dual-arm coordination data
Tool usage data
Failure case data
Edge case/long-tail data
Other
*
Data Collection Environment Requirements[Multiple]
Laboratory standard environment
Real industrial environment
Home/commercial environment
Outdoor/special environment
Multi-environment mix
*
Data Annotation Requirements[Multiple]
Raw data only
Basic annotation needed (object position, pose, etc.)
Fine-grained annotation needed (contact points, force, intent, etc.)
Multi-level annotation needed
Other requirements:
*

Data Reusability/Migration Requirements: Are there any of the following situations?

[Multiple]
The same task requires repeated data collection on different robot bodies/configurations
Existing data is difficult to migrate to different robotic arms/end-effectors
The model needs to be fine-tuned almost from scratch on the new ontology
Data/strategy migration has been attempted, but the results are unstable or uncontrollable
There is currently no such requirement
*

Data Reusability/Migration Status: How reusable is the data under the following circumstances? (1 = Very Difficult, 5 = Very Easy) |

[Multiple]
Same task, different robotic arm brands/models
Same task, different end-effectors (gripper / dexterous hand / others)
Different Degrees of Freedom / Configurations
Same strategy, from simulation → reality
Same strategy, from human demonstration → robot execution
*
Data volume per scenario（Trajectories）
＜1000
1K-10K
10K-100K
＞100K
*
Data update frequency
One-time purchase
Quarterly updates
Monthly updates
Continuous subscription
*
Data Quality Requirements
*
Data Quality Requirements-Success rate
>60%
>80%
>90%
>95%
*
Data Quality Requirements-Diversity
单一场景 | Single scenario
有限变化 | Limited variations
高度多样化 | Highly diverse
*
Data Quality Requirements-Data Precision 
标准精度 | Standard precision
高精度 | High precision
超高精度 | Ultra-high precision
*
Special Data Requirements[Multiple]
Specific operator data needed (e.g., professional technicians)
Specific object/material data needed
Specific environmental condition data needed
Customized collection needed
Other
Your Robotic arm brand/mode*
*
End-effector type
Dexterous hand
Gripper
Suction cup
Other
*
Data Format and Interface Requirements-Preferred data format
HDF5
ROS Bag
JSON
自定义格式 | Custom format
*
API interface requirements
RESTful API
gRPC
SDK
Other:
*
Data preprocessing service needed
Yes
No
*
Data preprocessing service needed-Primary algorithm framework
PyTorch
TensorFlow
JAX
Other
*
Pre-trained models needed
Yes
No
*
Model fine-tuning service needed
Yes
No
*
SaaS Service Expectations-Preference for tiered database services[Multiple]
Open-source basic datasets (free/low-cost)
Semi-open industry datasets (medium cost)
Closed-source high-quality datasets (premium)
Customized data collection services
Hybrid solution
*
SaaS Platform Feature Expectations (Multiple Choice)[Multiple]
Online data browsing and filtering
Data download and management
Online data annotation tools
Data quality assessment tools
Model training environment
Data augmentation services
Collaboration and version control
Other
*
Data Security and Compliance Requirements[Multiple]
Data localization deployment
Encrypted data transmission
Access control management
Compliance certification (ISO/GDPR, etc.)
Other
*
Budget Range (Annual data procurement budget in USD)
＜100K
100K-500K
500K-2M
2M-5M
＞5M
*
Preferred Payment Model
One-time purchase
Pay per data volume
Subscription (monthly/quarterly/annual)
Pay per usage
Customized project collaboration
*
Most valued service factors (Rank 1-6)
Data quality
Data scale
Price
Delivery speed
Technical support
Customization capability
Main pain points in acquiring dexterous manipulation data
*
Willing to participate in follow-up in-depth interviews
Yes (Contact)
No
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