Billion-Dollar Tasks
Bimanual Live Competition

Benchmarking real-world challenges on bimanuals,
from moving boxes to doing scientific experiments.

By Top Institutions and Scientists

World class partners including top research labs and industry leaders.

Packing
Logistics

Task A. Robot: Galaxea R1 Pro

Scientific Experiments

Task B. Robot: AgileX Robot

$600k Supporting
Robots,
$200,000 Prize Pool

Top winner gets a $60k robot used in competition or from sponsor

Table
Operations

Task C: Robot: ARX X7

Bridging the Gap:
From Lab to Real World

Bringing lab robotics from cool demos to real world, high impact challenges.

Teleoperation Research: Limited by Lab Conditions, Missing Real-World Challenges

Lab designed tasks  overlooks key industry factors like speed, reliability, cost, and ease of implementation.

We introduce standardized benchmarking tasks that simulate real-world challenges at various difficulty levels.

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  • Real World – Control two robotic arms for real-world tasks.
  • Industry Defined Tasks - Real problems to be solved
  • Versatile Control – Use puppeteering, VR, exoskeletons and more
  • Impact Driven – we focus on solutions with $1B+ market size
We have incorporated cutting-edge research challenges in the tasks

These challenges represent actual technical hurdles faced in operations with billion-dollar market potential.

Each task addresses specific industry needs while pushing the boundaries of current robotic capabilities.

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  • Manipulation of articulated objects (e.g., paper boxes)
  • Handling of delicate materials (e.g., test tubes)
  • Control of soft, deformable objects (e.g., linens)
  • Interaction with dynamic elements (e.g., conveyor systems)

Benchmarking Bimanuals

Each team receives a fixed budget in virtual dollars.
Their data collection costs vary based on their teleoperation method, assuming the robots are provided at no cost.

In-Person Control
Side-by-side operation, full information access
Close-Distance Control
Onboard sensors only, minimal latency
Remote Control
Onboard sensors, high latency, connection issues
Bonus & Penalty
Success Bonus
Successful completion: Bonus
Failure Penalty
Catastrophic failure: Penalty applies
Evaluation Criteria
Teleoperation Performance
Quality and speed vs. human baseline
Learning Capability
Data collection efficiency and model performance

Organizing Members

Contact Us! 
hello@wbcd.live

To Sponsor, Volunteer and Collaborate.

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