WayTrace: A System Using Off-the-Shelf VLM, Onboard Trace Model, and RL Policy for Real-World Navigation
Overview
The ETH Robotic Systems Lab introduces WayTrace, a robotics system that converts web-map directions into real-world navigation tasks. The system utilizes an off-the-shelf Vision-Language Model (VLM), an onboard trace model, and a Reinforcement Learning policy to guide a robot through complex environments in Zurich, covering a total distance of 2.35 km. This demonstration includes navigating crosswalks, stairs, crowded streets, and construction sites.
Generated from attributed reports · Updated 2 hours ago
Event evidence and corrections
1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · distance traveled: 2.35 other · unique elapsed hours · Differing source assertions
“Our new work WayTrace: an off-the-shelf VLM, an onboard trace model, and an RL policy take a robot from web-map directions to 2.35 km of real-world missions in Zurich.”
Exact source · revision 1eth-zurich
Reported quantity · distance traveled: 2.35 other · Basis not reported · Differing source assertions
“Then we let it find its own way through Zurich: crosswalks, stairs, crowded streets, construction sites, 2.35 km in total.”
Exact source · revision 1eth-zurich
Report timeline
Follow attributed reports and material updates.
- ETH Robotic Systems Lab — XSignalWayTrace: A System Using Off-the-Shelf VLM, Onboard Trace Model, and RL Policy for Real-World Navigation
The ETH Robotic Systems Lab introduces WayTrace, a robotics system that converts web-map directions into real-world navigation tasks. The system utilizes an off-the-shelf Vision-Language Model (VLM), an onboard trace model, and a Reinforcement Learning policy to guide a robot through complex environments in Zurich, covering a total distance of 2.35 km. This demonstration includes navigating crosswalks, stairs, crowded streets, and construction sites.
Event coverage history
There is not enough continuous observation data to show a trend.
Timezone · UTC
Article dates follow your selected timezone. Briefing editions use Hong Kong time (UTC+8).