🔬 Corporate#82 Tokyo, Japan· Est. 2014
Preferred Networks — Robotics AI
Japan's most valuable AI startup, specializing in applying deep learning to physical robots. PFN built Menoh inference engine and robot manipulation systems for Toyota and NTT.
deep learning for roboticsmanipulationautonomous drivingsimulation
Notable achievements
Japan's highest-valued AI startup ($2B+), Toyota research collaboration, NTT robot arm learning, Menoh inference engine, ICRA best paper awards.
Notable work
Menoh engineToyota collaboration
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
MANIPULATION
📊 0 cites
A hierarchical approach to imitation learning for manipulation tasks requiring time varying forces
Rishabh Shukla, Adithya Santhosh, Shaili Gandhi +2 more
Robotics and Computer-Integrated Manufacturing · 2026
MANIPULATION
📊 0 cites
Simulation-assisted development and experimental validation of a cobot screwdriving system for automotive assembly
Francisco Cunha, André Gonçalves, Tiago Pereira +13 more
Robotics and Autonomous Systems · 2026
MANIPULATION
Open access📊 0 cites
Container Unloading via Reinforcement Learning: Picking Order, Deadlock Avoidance, and Proof-of-Concept Simulation
Jan Rüdiger, Max Schenke, Daniel Weber
2026
MANIPULATION
Open access
How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
Krishnam Gupta
2026
LEARNING
Open access
SARAD: LLM-Based Safety-Aware Hybrid Reinforcement Learning with Collision Prediction for Autonomous Driving
Kangyu Wu, Peng Cui, Guoxi Chen +1 more
2026
MANIPULATION
Open access
What Frozen VLAs Already Know About Success: A Probing Study of Value-Like Structure in Foundation Robot Policies
Jiachen Zhang, Junnan Nie, Junyi Lao +4 more
2026