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• Generative Multimodal Models are In-Context Learners
  2023 · 75 citations
• $π_\textttRL$: Online RL Fine-tuning for Flow-based Vision-Language-Action Models
  2025 · 3 citations
• Robobench: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models as Embodied Brain
  2025 · 1 citations
• Emu3.5: Native Multimodal Models are World Learners
  2025
• Emu3.5: Native Multimodal Models are World Learners
  2025
• OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction
  2026
• RoboBrain 2.5: Depth in Sight, Time in Mind
  2026
• RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
  2025
• On-the-fly Large-scale 3D Reconstruction from Multi-Camera Rigs
  2025
• SpikeGrasp: A Benchmark for 6-DoF Grasp Pose Detection from Stereo Spike Streams
  2025
• Driving in Spikes: An Entropy-Guided Object Detector for Spike Cameras
  2025
• RoboBrain 2.0 Technical Report
  2025
• RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics
  2025
• 52B to 1T: Lessons Learned via Tele-FLM Series
  2024
• SpikeGS: Reconstruct 3D scene via fast-moving bio-inspired sensors
  2024