跨具身模仿学习使在特定具身上训练的策略能够在不同的机器人之间迁移，从而释放出既经济高效又可高度重用的大规模模仿学习的潜力。LEGATO，是一个跨具身模仿学习框架，用于跨各种运动形态进行视觉运动技能迁移。引入一种手持式夹持器，它统一动作和观察空间，允许在机器人之间一致地定义任务。使用此夹持器，通过模仿学习训练视觉运动策略，应用运动不变变换来�
active 2024-08-22 → 2026-01-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 519 days from 2024-08-22 to 2026-01-22. Pushes: 39 total, peak 7 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 3 total, peak 1 in a day. Comments: 2 total, peak 1 in a day. Stars: 68 total, peak 6 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| kiwi-sherbet | 42 | 39 | 1 | 1 |
| coconocokun | 2 | 0 | 1 | 1 |
| NielsRogge | 1 | 0 | 0 | 0 |
| shuchenYee | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 68 stars here means stars gained during the window, not the repo's star count.