{"url":"/dataset/flobot-perception","name":"FLOBOT Perception","full_name":null,"description_markdown":"This dataset was collected with FLOBOT - an advanced autonomous floor scrubber - includes data from four different sensors for environment perception, as well as the robot pose in the world reference frame. Specifically, FLOBOT relies on a 3D lidar and a RGB-D camera for human detection and tracking, and a second RGB-D and a stereo camera for dirt and object detection. Data collection was performed in four public places (three of them are released in this dataset), two in Italy and two in France, in FOLBOT working mode with the corresponding testing procedures for final project validation","description_withheld":null,"homepage":"http://lcas.github.io/FLOBOT/","introduced_date":"2020-02-24","introduced_date_note":null,"introduced_by":{"paper":"/paper/robot-perception-of-static-and-dynamic","title":"Robot Perception of Static and Dynamic Objects with an Autonomous Floor Scrubber","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["FLOBOT Perception"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}