🔬 Corporate#71 Emeryville, CA, United States· Est. 2017
Covariant — AI Robotics Research
Building the "AI brain" for warehouse robots using foundation models. Covariant's RFM-1 (Robot Foundation Model) enables robots to pick any object without explicit programming, deployed at Amazon-scale logistics.
robot AI brainwarehouse pickingfoundation modelsgraspinglogistics
Notable achievements
RFM-1 robot foundation model, $222M raised, logistics picking at scale, ABB acquisition discussions, Berkeley BAIR spinout.
Notable work
RFM-1Picking at scale
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
LEARNING
📊 0 cites
Artificial Intelligence enhanced smart welding islands: Foundation models revolutionizing manufacturing
Xiwei Wu, Wei Wu, Qiqi Chen +6 more
Robotics and Computer-Integrated Manufacturing · 2026
OTHER
Open access📊 0 cites
Hylos: Operability Contracts for Model-Native Spatial Intelligence
Christopher Da Silva
2026
HRI
Open access📊 0 cites
Robotics-Inspired Guardrails for Foundation Models in Socially Sensitive Domains
Rebecca Ramnauth, Drazen Brscic, Brian Scassellati
2026
MANIPULATION
Open access
GraspIT: A Dataset Bridging the Sim-to-Real gap and back for Validated Grasping SE(3) Pose Generation
Paul Koch. Adem Karakurt, André Sers
2026
MANIPULATION
Open access
Bounding Boxes as Goals: Language-Conditioned Grasping via Neuro-Symbolic Planning
Allison Andreyev, Landon Eum, Nestor Tiglao +1 more
2026
LEARNING
Open access
A Tutorial on World Models and Physical AI
Il-Seok Oh
2026