Toyota Research Institute LBM
https://www.tri.global/research/robotics
Toyota Research Institute's robotics group — published Large Behavior Models (LBMs) Sep-2023 + diffusion-policy / behavior-cloning at scale. Industrial-research lab with Toyota's manufacturing-data advantage. Not a startup — division of Toyota Motor Corp.
At a glance
- Type
- Robotics research lab — Large Behavior Models (LBM)
- Tier
- T1
- Created
- 2015 (TRI founded); LBM line 2023+
- Latest release
- Large Behavior Models 2.0 (2024)
- License
- Some research code OSS (BSD / MIT)
- Pricing
- not applicable — wrong section
- Funding
- Toyota Motor Corp internal research arm; $1B+ initial endowment (2015)
Taxonomy
- storage
- weight
- retrieval
- parametric-recall
- persistence
- parametric-permanent
- update
- agent-controlled
- unit
- trajectory
- governance
- opaque
- conflict
- training-time
When to use
Optimised for: Manipulation-foundation models with Toyota's manufacturing data advantage
Anti-fit: Not a product company — research lab; no SaaS endpoint
Pros & cons
Pros
Foundational papers (diffusion policy); $1B+ research budget; Toyota manufacturing data; OSS code releases.
Cons
Research lab not product; pace of public releases more conservative than startup pack.
Claims & capabilities
LBM line published 2023-2024; diffusion-policy line foundational to many subsequent robotics-FM papers
Technical surface
- API surface
- Research code; no commercial API
- Backend storage
- Internal TRI / Toyota data centers
- Deployment
- Research-stage; Toyota internal pilots; OSS code for community
- Embedding model
- not applicable — not a memory product
- Multi-tenancy
- not applicable — wrong section
- MCP
- not applicable — wrong section
- A2A
- not applicable — wrong section
- OpenTelemetry
- not applicable — wrong section
Similar systems
Other robotics foundation models & agent stacks in the catalog, ranked by inbound references.
- Google DeepMind Gemini Robotics T1
Google DeepMind's Gemini Robotics + Gemini Robotics-ER (Embodied Reasoning) released Mar-2025. VLA models built on Gemini 2.0 backbone. Reference platform: Apptronik Apollo. The DeepMind line of robotics-FM, descendant of earlier RT-1 / RT-2 / RT-X work.
- Physical Intelligence (π) T1
Founded 2024 by Sergey Levine (UC Berkeley) and Karol Hausman + others (ex-Google Brain Robotics). Building general-purpose robot foundation models (π0 released Oct-2024; π0.5 in 2025) trained on cross-embodiment robot trajectories. Raised $400M Series A (Nov-2024; Jeff Bezos, OpenAI, Thrive, Lux) at $2.4B val.
- 1X Technologies T2
Norway / US humanoid robot company — Eve (wheeled bimanual) + Neo (legged humanoid, consumer-targeted, late 2025 / 2026 launch). Raised $100M Series B (Jan-2024, EQT + OpenAI Startup Fund); $40M Series A (Mar-2023, OpenAI lead). Distinguishing feature: consumer-home positioning rather than industrial.
- Agility Robotics T2
Oregon-based humanoid maker; Digit is in production at GXO Logistics warehouses since Sep-2024 — claimed first humanoid in commercial service in the US. Spinout of Oregon State University. $400M+ raised (Amazon Industrial Innovation Fund participant).
- Apptronik T2
Apollo humanoid maker, spun out of University of Texas Human Centered Robotics Lab. Raised $350M Series A (Feb-2025; B Capital + Capital Factory); Mercedes-Benz manufacturing partner (Mar 2024). Partnered with Google DeepMind on Gemini Robotics (Mar 2025) — Apollo is the headline reference platform for Gemini Robotics.
- Collaborative Robotics T3
Founded 2022 by Brad Porter (ex-Amazon Robotics VP + Scale AI CTO). Stealthier than the humanoid pack; raised $100M Series B Apr-2024 (General Catalyst). Targets warehouse + healthcare collaborative robots.