Static project page for KiRoSe: Using Kinematic Data for Efficient Segmentation of Robot Demonstrations.
Everything is plain HTML/CSS/JS in index.html; there is no build step.
python3 -m http.server 8000 # then open http://localhost:8000Open the page through a local server rather than as a file, because the video player loads static/videos/segments.json.
| Path | What it is |
|---|---|
index.html |
The whole page: styles in <style>, the video player and title-figure scripts at the bottom |
static/images/ |
Paper figures, the capabilities figure (capabilities.png), institution logos |
static/media/ |
Animated Sparse Motion Token figure (smt_motion.mp4/.webm/.gif, poster); reversed-subtask clip and curves (progress_demo.mp4/.json) |
static/videos/ |
Episode clips, segments.json (annotation / KiRoSe / video-VLM lanes), progress_traces.json (KiRoSe progress per predicted subtask, title figure) and the unused background hero_mosaic.mp4 |
tools/ |
Scripts that regenerated the media from the experiment outputs (need the private traj_seg_vlm data; not needed to edit the page) |
- Paper / arXiv / Models buttons are disabled (
class="btn disabled"); add the links and removedisabled. - Replace the BibTeX with the arXiv entry.
- To host on GitHub Pages: make the repository public, then Settings → Pages → Deploy from branch
main, folder/.