A novel navigation system that interprets user sketches to guide robots, bridging the gap between human intuition and robot control.
WoRV (World Models for Robotics and Vehicle Control) Team has been pioneering VLA-based RFM (Robotic Foundation Models) for agricultural, logistics, defense, construction, and manufacturing domains since 2021.
We go beyond "fancy lab research." We operate in the real world with a fleet of hundreds of robots replacing human labor in industrial sites. This allows us to collect robust training data, establish new research hypotheses daily, and immediately evaluate and realign our models through field deployment and business feedback.
We offer the optimal environment to "pre-train" for the upcoming era of Physical AI.
Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction
A novel navigation system that interprets user sketches to guide robots, bridging the gap between human intuition and robot control.
Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Leveraging large-scale desktop data to pre-train vision-action models, demonstrating effective transfer to embodied robotic tasks.
Economic-Aware Navigation Benchmark for Autonomous Delivery Robots
The first navigation benchmark that evaluates robots by profit per run. CostNav bridges the gap between impressive research demos and sustainable businesses by modeling the complete economic lifecycle of delivery robots.
We are actively recruiting for the 2025-2026 Winter Season (December 2025 - February 2026)!
Join a team of top-tier talents tackling the hardest problems in Physical AI. We promise industry-leading compensation, alternative military service options, and the most reliable colleagues.