WBCD 2026 Competition Track
Track 1: Logistics Packing Challenge
Robot from GalaxeaThis challenge simulates a real-world automated packing scenario where the robot needs to efficiently transfer items from a moving conveyor system to designated packing containers. The task involves picking items from 10 moving bins on a conveyor belt and organizing them in a target packing bin.
Picking Environment
- 10 picking bins move along conveyor at controlled speed
- Each bin contains identical items
- Items vary between bins (shape, size, weight)
- Time limit per bin at picking point
Packing Options
Uses rigid plastic container as packing bin
Advanced Version
Uses cardboard box with additional box closure requirement
Time Efficiency
- Total picking time (cumulative for 10 items)
- Total packing time (cumulative for 10 placements)
Quality Standards
- Items stacked tightly and neatly, not exceeding bin height
- For advanced version, cardboard box must be properly sealed
Sample Test Scene
Track 2: Life Science R&D - Lab Experiments
Robot from AgileX RoboticsThis challenge focuses on precise laboratory operations, including column chromatography setup and sample handling. The robot must demonstrate careful manipulation of delicate laboratory equipment through three critical stages.
Stage 1: Silica Gel Column Installation
The robot must install a silica gel column using a Luer lock connection system with precision and care.
Locate and identify correct silica gel column using vision system
Align and tighten Luer lock connection with precise control
Mount column securely on fixed rack ensuring leak-free connection
Stage 2: Sample Tube Organization
- Transfer tubes from random arrangement to organized grid
- Fill all 30 positions precisely and systematically
- Arrange glass tubes in 5×6 grid on Rack A
Stage 3: Selective Sample Processing
Select and transfer specified tubes based on diagram
Precisely pour remaining samples into waste container
Technical Precision
- Column alignment and tightening accuracy
- Tube arrangement precision
- Sample selection accuracy
- Liquid handling control
Operational Efficiency
- Task completion speed
- Success rate per subtask
- Error-free execution
- System reliability
Track 3: Deformable Object Manipulation
Robot from ARXThis challenge evaluates robotic manipulation of deformable objects in manufacturing and service scenarios. Using a T-shirt as the representative flexible object, teams must demonstrate sophisticated perception and control capabilities.
Load T-shirt
Pick up and position the T-shirt into the workspace for manipulation.
Unload T-shirt
Remove the T-shirt from the workspace after manipulation is complete.
Fold T-shirt
Fold the T-shirt into a neat and consistent configuration.
Core Skills Assessed
- Perception and tracking of deformable objects
- Compliant grasping and manipulation
- Control of object deformation and alignment
- Consistency and quality of the final folded result
Evaluation & Scoring System
Virtual Budget Allocation
Each team receives a fixed budget in virtual dollars. Data collection costs vary based on teleoperation method, assuming robots are provided at no cost.
Side-by-side operation, full information access
High RateOnboard sensors only, minimal latency
Medium RateOnboard sensors, high latency, connection issues
Low RateTeleoperation Performance
Quality and speed vs. human baseline
Learning Capability
Data collection efficiency and model performance