Hey everyone 
I’m working on SeekSense AI, a training-free semantic search layer for indoor mobile robots – basically letting robots handle “find-by-name” tasks (e.g. “find the missing trolley in aisle 3”, “locate pallet 18B”) on top of ROS2/Nav without per-site detectors or tons of waypoint scripts.
I’ve put together a quick 3–4 minute survey for people who deploy or plan to deploy mobile robots in warehouses, industrial sites, campuses or labs. It focuses on pain points like:
-
handling “find this asset/location” requests today,
-
retraining / retuning perception per site,
-
dealing with layout changes and manual recovery runs.
Survey: [form link]
More about the project: https://www.seeksense-ai.com
At the end there’s an optional field if you’d like to be considered for early alpha testing later on – no obligation, just permission to reach out when there’s something concrete.
If you’re working with AMRs / AGVs / research platforms indoors, your input would really help me shape this properly 