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A curated research-oriented index for legged robotics, focused on:
- long-term retrieval through master lists
- daily discovery through dated logs
- direct browsing and editing in GitHub Markdown
This repository is intended to support research discovery, orientation, and long-term reference for students and researchers working on legged locomotion and related areas.
This repository is a curated index, not a benchmark, ranking, or evaluation. Entries are based on publicly available information and are intended to be useful, readable, and maintainable in GitHub.
- papers.md — long-term curated paper list
- repos.md — long-term curated repository and toolkit list
- labs.md — source network for labs, professors, and related researchers
- jobs.md — dynamic list of active or watchlisted academic and industry opportunities
- legged-daily/ — dated daily updates and new findings
Discovery layers through these source categories:
- Priority venues — arXiv, IROS, ICRA, RA-L, RSS, IJRR, Science Robotics, T-RO, CoRL, CVPR, NeurIPS, AAAI.
- Tracked labs and researchers — channels (homepage, GitHub, X, Google Scholar, YouTube, Bilibili, etc.) recorded in labs.md.
- Aggregator sources — non-lab, non-venue feeds (arXiv category RSS, curator accounts, industry media, community channels) maintained in source-watchlist.md.
- Adjacent high-signal sources when clearly relevant to legged robotics.
This repo is maintained by an agent. templates/legged-daily-template.md defines the daily output format, while drafts/ holds working drafts that may be pushed for GitHub preview before formal publication.
Daily logs capture newly discovered:
- papers
- repositories
- lab / professor signals
- job signals
Each daily file is stored under:
legged-daily/YYYY-MM-DD.md
Master lists keep only the information worth preserving for long-term retrieval.
papers.mdandrepos.mdare curated reference listslabs.mdis a growing source networkjobs.mdtracks active or watchlisted opportunities
This repository focuses on legged robotics and nearby topics, including:
- quadrupeds, humanoids, bipeds, and multi-legged systems
- locomotion, whole-body control, and MPC
- reinforcement learning, imitation learning, and robot learning
- perception, terrain adaptation, and sim-to-real transfer
- related labs, faculty groups, open-source projects, and recruiting signals