Yondu
About
About Yondu
Yondu builds general-purpose robotic bin-picking cells for existing third-party logistics warehouses. Its brownfield approach is designed to fit existing layouts, with robots identifying stock, navigating shelves or totes and handling items for fulfillment operations.
The system combines perception, navigation and manipulation for SKU identification, bin picking and pick-and-place work. Yondu supplies the robot cell and software around the warehouse workflow, enabling order handling without requiring a newly built facility.
Team
- Michael Chen - Co-founder and Chief Executive Officer - Leads Yondu’s commercial development and warehouse-robot deployment programme.
- Tahmid Jamal - Co-founder and Chief Technology Officer - Leads Yondu’s AI and robotics technology development.
- Lianhao Yin - Head of Research (2025 launch) - Led research for the warehouse-robot platform introduced in Yondu’s 2025 launch.
- Jairo Maldonado - Teleoperation Lead (2025 launch) - Led teleoperation work for the warehouse-robot platform introduced in Yondu’s 2025 launch.
- Mehul Kumar - Founding Researcher (2025 launch) - Contributed research to the warehouse-robot platform introduced in Yondu’s 2025 launch.
Timeline
Events
- 2026-10-13 - Product Launch - Physical Intelligence opens Pi API beta to more robot developers
Teams can upload their robot data, launch fine-tuning on PI-managed compute and infrastructure, and run the resulting models through hosted inference. Early users include Argon Robotics, which trained a dish-racking policy within 35 hours, and General Instinct, which trained a server-assembly policy within three days. Beta participation is by application; most showcased applications use cloud-hosted inference, with network connectivity identified as an area for improvement.
Source - 2025-09-19 - Product Launch - Yondu publicly launches its physical AI platform for warehouse automation
The launch positioned the system as drop-in automation for existing warehouses without requiring new storage infrastructure. ULTRON supplies low-latency remote operation while warehouse-management integration routes orders and robot work. The general manipulation stack identifies bins, assesses task difficulty, learns from experience and reduces operator intervention over time.
Source - 2025-07-23 - Capability - Yondu reports production progress across teleoperation and manipulation AI
The company completed four iterations of ULTRON, its low-latency teleoperation system for deployed warehouse robots. It also built a real-time three-dimensional visualization environment and trained the Yondu general manipulation model. Thousands of recorded episodes supported deployment of robot foundation models in production warehouse workflows.
Source - 2025-04-06 - Demonstration - Yondu demonstrates its warehouse robot pilot at ShipBots
The pilot placed Yondu robots inside a ShipBots fulfillment operation rather than in a standalone laboratory setting. Low-latency teleoperation supplied immediate task execution while capturing real warehouse episodes for model development. The deployment established a path from operator-controlled work toward progressively autonomous logistics workflows.
Source
Relations
Relationships
- ShipBots
Warehouse Pilot And Deployment Site - Yondu developed its warehouse bin-picking application with ShipBots through a design partnership and teleoperated pilot.
- Physical Intelligence
Pi API Collaboration - Yondu uses the Pi API for warehouse picking and tote placement, with human assistance when needed.
Context
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Context tags
- Warehouse robotics builder - Workflow - Company profile and website context support Warehouse robotics builder.
- Warehouse material handling - Workflow - Company profile and website context support Warehouse material handling.