NEDO Launches Contest for Automated Surface Defect Inspection Robots in Automotive Manufacturing
- Published
- Source
- RobotStart.info
NEDO (New Energy and Industrial Technology Development Organization) has announced a new theme under the 'NEDO Challenge' program, focusing on robot solutions for manufacturing. The initiative invites proposals for automating surface defect inspections in the automotive industry through 'Contest A'. This contest aims to address labor shortages in small and medium-sized manufacturing businesses while promoting the adoption of robotic technologies.
The significance of this initiative lies in its potential to enhance efficiency in automotive manufacturing, particularly in automating the inspection of surface defects such as scratches and color inconsistencies. By developing and implementing robotic solutions starting from the automotive sector, NEDO aims to create a ripple effect throughout the entire supply chain, encouraging broader adoption across various manufacturing sectors.
Looking ahead, Contest A will be conducted in two phases: Contest A1 will focus on identifying challenges in automating inspection processes, while Contest A2 will involve developing functional robots based on the proposals from A1. The application period for A1 is set from June 30, 2026, to October 16, 2026. Future plans may include Contest B, aimed at promoting robot adoption in a wider range of manufacturing industries.
Original report
自動車製造業の表面異常検査を自動化するロボット開発をNEDOが公募、懸賞金総額2億円超で募集
RobotStart.infoThis briefing is an independently written summary based on publicly available reporting and is provided for industry information and news discovery. The original report and source publication are credited and linked where applicable. RobotToday does not claim ownership of third-party source material.
Rights concerns? Contact [email protected] with the relevant URL and details. We will review the matter and take appropriate action where warranted.
More related news
- 1
- 2
- 3
- 4
-
5
ROBOTTODAY Weekly October 19 – 23, 2026 RobotToday · 4 days ago
- 6
- 7
- 8
- 9
- 10
- 11
- 12
Related Suppliers
JIZAIE, Inc.
Japan
Japanese robotics firm developing the common mobile base unit with swappable sensors for the NEDO-funded Takenaka construction robot platform.
Noetra
Japan
Tokyo-founded (2026) AI startup building Japan-made multimodal foundation models for robots, backed by NEDO government R&D funding.
Rose-Hulman Institute of Technology
United States
Private US engineering university founded 1874 in Terre Haute, Indiana; ranked top undergraduate engineering program; strong robotics programs.
KEF Robotics
United States
Pittsburgh-based autonomy software company enabling GPS-denied navigation for drones and UAS via computer vision; DoD SBIR awardee.
ARIS Technology
United States
US builder of turnkey automated 3D scanning and inspection systems pairing off-the-shelf 3D scanners with robotic arms for dimensional metrology.
JIREH Industries
Canada
Canadian manufacturer of manual and automated UT scanners and inspection robots for NDT in oil & gas, power, and aerospace since 1981.
ProManage Smart Manufacturing Solutions Inc.
United States
IoT-based MES/MOM software used in 500+ factories to monitor production, OEE, and operations in real time.
Robert Bosch Manufacturing Solutions GmbH
Germany
German turnkey automation specialist for eMobility, battery, powertrain, and body-in-white; part of Bosch Group.
KINE Robot Solutions
Finland
Turku, Finland robot integrator founded in 1999; builds Staubli, Comau, and KUKA-based cells for food, semiconductor, and automotive plants.
Automation & Factory Solution (AFS)
United States
North American automation distributor and integrator, now a SunSource company; FANUC, Yaskawa, Universal Robots, MiR and Anscer lines across 12 branches.
Lincode Labs Inc.
United States
AI visual inspection software (LIVIS) using deep learning to automate manufacturing quality control on existing cameras.
USS Vision
United States
AIA-certified machine vision integrator in Livonia, MI, founded 1999; builds Multi-View, Surface Scan, and Exact Scan systems for automotive OEMs.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
Join the RobotToday community on LinkedIn
Daily robotics news, in-depth analysis, conference highlights, and discussions with professionals worldwide.
