Physical Intelligence Timeline

Events

• 2026-06-22 - Product Launch - Robot.com launches R-Noid humanoid labour platform with 19 deployable tasks - Robot.com defines five solution categories—Restaurant Assistant, Packer, Picker, Folder and Host—covering 19 deployable tasks. FieldAI foundation models provide the operational AI layer, while Physical Intelligence's π0.7 vision-language-action model… - source: prnewswire.com
• 2026-04-16 - Research Publication - Physical Intelligence publishes pi0.7 steerable robotic foundation model - Physical Intelligence published pi0.7 as a steerable robotic foundation model with stronger generalization and task recombination abilities. The official release compares pi0.7 against specialist policies on laundry folding, espresso making, and box folding… - source: pi.website
• 2026-03-19 - Research Publication - Physical Intelligence publishes RLT research on efficient online RL for precise robot manipulation - Physical Intelligence published RLT, an online reinforcement-learning method for precise robot manipulation. The work focuses on improving task performance efficiently through real-world policy updates. - source: pi.website
• 2026-03-03 - Research Publication - Physical Intelligence publishes Multi-Scale Embodied Memory for long-horizon VLA tasks - Physical Intelligence published Multi-Scale Embodied Memory as a way to give VLA policies both short-term and long-term task memory. The official page frames MEM as enabling complex tasks lasting more than ten minutes, with high-level subtasks selected at… - source: pi.website
• 2026-02-24 - Market Signal - The Physical Intelligence Layer — deployment results reported with Weave and Ultra using π 0.6 - Weave reports live laundromat deployments in San Francisco and quantifies improvements when π 0.6 is used (vs π 0.5), including fewer missed grasp sequences and fewer interventions when Weave pre-training data is. Ultra reports live customer deployments… - source: pi.website
• 2025-12-16 - Research Publication - Physical Intelligence studies emergence of human-to-robot transfer in VLA models - Physical Intelligence published research on how transfer from human videos to robotic tasks emerges as VLA models scale. The official page studies when human-video pretraining begins to help robotic task performance rather than staying disconnected from… - source: pi.website
• 2025-11-20 - Funding - Physical Intelligence raises $600M round led by CapitalG at $5.6B valuation - Physical Intelligence raised $600 million in a new funding round valuing the company at $5.6 billion. Bloomberg reported CapitalG led the round, with participation from existing investors including Lux Capital, Thrive Capital, and Jeff Bezos, plus new… - source: bloomberg.com
• 2025-11-17 - Research Publication - Physical Intelligence publishes pi-star-0.6 VLA that learns from experience - Physical Intelligence published pi-star-0.6 as a VLA trained with Recap-style reinforcement learning from autonomous robot experience. The release reports improvements on real-world application tasks such as box building, kitchen cleaning, and making coffee.… - source: pi.website
• 2025-06-09 - Research Publication - Physical Intelligence publishes real-time action chunking for high-latency VLA control - Physical Intelligence published Real-Time Action Chunking as a method for keeping VLA-controlled robots precise while large models think over future action chunks. The official page frames the approach as an inpainting problem that keeps new action chunks… - source: pi.website
• 2025-05-28 - Research Publication - Physical Intelligence publishes VLA training method for faster training and stronger generalization - Physical Intelligence published a VLA training method focused on faster training, fast inference, and improved semantic generalization. The official page describes training with pi0-FAST action tokens, general web-data representation learning, and continuous… - source: pi.website
• 2025-04-22 - Research Publication - Physical Intelligence publishes pi0.5 VLA for open-world generalization - Physical Intelligence published pi0.5 as a VLA model focused on open-world generalization across messy homes and unstructured tasks. The official writeup emphasizes co-training on heterogeneous data so the model can transfer knowledge across robots… - source: pi.website
• 2025-02-04 - Research Publication - Physical Intelligence open-sources pi0 weights and openpi repository - Physical Intelligence released code and model weights for pi0 through its experimental openpi repository. The release includes base pretrained checkpoints, fine-tuned checkpoints for platforms such as ALOHA and DROID, and example code for real and simulated… - source: pi.website
• 2025-01-16 - Research Publication - Physical Intelligence releases FAST robot action tokenizer for efficient VLA training - Physical Intelligence published FAST, an efficient robot action tokenizer designed to connect high-frequency robot action chunks to autoregressive transformer training. FAST was trained on one million real robot action sequences and supports faster pi0-FAST… - source: pi.website
• 2024-11-04 - Funding - Physical Intelligence raises $400M from Bezos, OpenAI, Thrive, and Lux - Physical Intelligence raised $400 million in early-stage funding for foundational software for robots. Reported participants included Jeff Bezos, OpenAI, Thrive Capital, Lux Capital, and other venture backers. The round made Physical Intelligence one of the… - source: reuters.com
• 2024-11-04 - Funding - Physical Intelligence raises $400 million for general-purpose robot foundation models - Physical Intelligence raised $400 million to develop general-purpose AI models and algorithms for real-world robots. The company is building foundation models for physical intelligence, with the goal of creating a generalist robot brain that can control many… - source: inc.com
• 2024-10-31 - Research Publication - Physical Intelligence introduces pi0 general-purpose robot foundation model - Physical Intelligence introduced pi0 as its first generalist robot policy, combining a vision-language model backbone with action generation for dexterous robot control. The official release describes training across multiple robot forms and tasks including… - source: pi.website