v0.0.2.6 Support dexterous grasping and human-humanoid robot skill transfer

• [2024-06-30] 🚀 Completed the human-level skill
• [2024-01-24] 🚀 CURI Synergy-based Softhand grasping tasks are supported to be trained by RofuncRL.
• [2023-12-24] 🚀 Dexterous hand (Shadow Hand, Allegro Hand, qbSofthand) tasks are supported to be trained by RofuncRL.
• [2023-12-07] 🖼️ EfficientSAM is supported for high-speed segmentation on edge devices like Nvidia Jetson, check the example in Visualab.
• [2023-12-04] 🖼️ VLPart-SAM is supported for part-level segmentation with text prompt, check the example.
• [2023-12-03] 🖼️ Segment-Anything (SAM) is supported in an interactive mode, check the examples in Visualab (segment anything, segment with prompt).
• [2023-10-31] 🚀 RofuncRL: A modular easy-to-use Reinforcement Learning sub-package designed for Robot Learning tasks is released. It has been tested with simulators like OpenAIGym, IsaacGym, OmniIsaacGym (see example gallery), and also differentiable simulators like PlasticineLab and DiffCloth.
• [2023-10-31] 🚀 RofuncRL supports OmniIsaacGym tasks.

Full Changelog: v0.0.2.5...v0.0.2.6

v0.0.2.5 More examples

🎉 Release v0.0.2.5, more examples

For Zenodo

🚀 [RofuncRL] Still struggling in finding the ASEHRL bug

Now 1 step LLC works, but more steps doesn't

v0.0.2 RofuncRL

🎉 This is the second official release version of rofunc package. We provide a reinforcement learning baseline framework (RofuncRL) that performs well in robot tasks 🦾, and several state-of-the-art online reinforcement learning algorithms (PPO, SAC, and TD3) have been completed.🥳

👉Next: We plan to combine planning algorithms for motion generation in the next major release (v0.0.3) and use it to train offline reinforcement learning as well as robot Large Models.

v0.0.1 Multimodal sensors, RL baselines, Control and Isaac simulator

After more than 400 commits, we successfully ushered in the first official release version of rofunc.

• Devices: support Xsens, optitrack, Zed 2i (multi), Delsys EMG, Manus gloves and multimodal
• Learning algorithms: TP-GMM, TP-GMR, RL baselines (RLlib, ElegantRL, SKRL with IsaacGym)
• Planning and control: LQT variants, iLQR variants
• Simulator (IsaacGym-based): CURI, Ubtech walker, Franka, Baxter, Sawyer, CURI-mini

v0.0.0.9 LfD and planning methods, simulator supported, doc initialized

New Features:

1. Pipeline
2. readthedoc
3. TP-GMM
4. TP-GMR
5. LQT
6. Franka simulator
7. CURI simulator (bimanual humanoid robot)

Full Changelog: v0.0.0.7.1...v0.0.0.9

v0.0.0.7.1 All ZED functions with parallel

New Features:

1. ZED export
2. Parallel computing

v0.0.0.6 ZED supported

New Features:

1, ZED record with multiple cameras
2. ZED playback and snapshots saving

v0.0.0.4

New Features:

1. Data process and visualize of raw Xsens .mnvx file
2. Data process of raw Optitrack .csv file