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.
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
Recent publications
All papers →Matched by this lab's specialties (keyword overlap + direct affiliation)
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
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
HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization
Youngjae Min, Jovin D'sa, Faizan M. Tariq +3 more
2026
LabVLA: Grounding Vision-Language-Action Models in Scientific Laboratories
Baochang Ren, Xinjie Liu, Xi Chen +15 more
2026
What Are We Actually Benchmarking in Robot Manipulation?
Tianchong Jiang, Xiangshan Tan, Samuel Wheeler +3 more
2026
DLO-Lab: Benchmarking Deformable Linear Object Manipulations with Differentiable Physics
Junyi Cao, Yian Wang, Ziyan Xiong +3 more
2026