VLA Gallery / All models / VA
RISE
Shanghai Noematrix Intelligence Technology; Shanghai Jiao Tong University · 2024-04
VAVANot discloseddiffusion
Encodes a single-view point cloud with sparse 3D convolutions and outputs actions via a transformer and diffusion head.
Paper
RISE: 3D Perception Makes Real-World Robot Imitation Simple and EffectivearXiv 2404.12281
Overview
- Category
- VA
- Type
- VA
- Released
- 2024-04
- Organization
- Shanghai Noematrix Intelligence Technology; Shanghai Jiao Tong University
- Open weights
- No
- Parameters
- Not disclosed
Architecture
- Backbone LLM
- None
- Vision encoder
- Sparse 3D encoder (MinkowskiEngine)
- Action head
- CNN diffusion head (20 inference steps) (diffusion)
- Chunk
- 20 steps
- Control rate
- Not disclosed
- Architecture (original summary)
- MinkowskiEngine sparse 3D encoder (5mm voxels, single RGB-D point cloud) + Transformer (4 encoder·1 decoder, d_model 512, d_ff 2048) + CNN diffusion head (100 training·20 inference steps); action horizon 20
Training
- Pretraining accelerators
- N/A
- Pretraining duration
- N/A
- Pretraining steps & batch
- N/A
- GPU/TPU-hours
- Not disclosed
- Fine-tuning
- Per task: 2× A100, batch 240, lr 3e-4, warmup 2000 steps; time·epochs Not disclosed
- Data type
- Real-robot teleoperation
- Data scale
- 50 demos per task
- Main datasets
- In-house Flexiv teleoperation
- Tasks & evaluation
- Collect Cups, Collect Pens, Pour Balls, Push Block, Push Ball, Stack Blocks; compared with ACT, Diffusion Policy, Act3D, DP3
- Robot
- Flexiv Rizon arm + Dahuan AG-95 gripper
Inference
- Inference device & speed
- Intel i9-10900K + RTX 3090 workstation; latency not disclosed
- Inference memory
- Not disclosed
- Weights bf16 (calc.)
- Not disclosed
- Where it runs
- Local PC
Reinforcement learning & base
- Reinforcement learning
- Not used · Imitation learning (behavior cloning) only
- Base control
- Fixed · No base control (Flexiv arm)
Notes
- Key features
- Encodes a single-view point cloud with sparse 3D convolutions and outputs actions via a transformer and diffusion head. Compared with ACT·DP·Act3D·DP3 using 50 demonstrations per task.
- Notes
- Hybrid architecture of sparse convolution, transformer, and CNN diffusion head. The successor RISE-2 was released 2025-05 (README), not profiled.
- Verification
- Confirmed
Other models in this category
- Mobile ALOHA2024-01
- ALOHA Unleashed2024-10
- HPT2024-09
- BAKU2024-06
- VQ-BeT2024-03
- ScaleDP2024-09†
- UMI2024-02
- DP32024-03
- Data Scaling Laws2024-10
- Robot Utility Models (RUM)2024-09
- EgoMimic2024-10
- InterACT2024-09†
- CARP2024-12†
- Dense Policy2025-03
- Chain-of-Action2025-06
- BRS (WB-VIMA)2025-03