Panasonic wins the top spot in a Future Convenience Store Challenge at IREX2019, an International Robot Exhibition 2019
April 01, 2020 | Project
Panasonic R&D Center Singapore (PRDCSG) joined the Nara Institute of Science and Technology, Ritsumeikan University, Panasonic’s Robotics Promotion Office, LS, CNS-IC, IS, and AP to form a NAIST-RITS-Panasonic team and compete in the Future Convenience Store Challenge at IREX2019, one of the world’s largest robot exhibitions.
The Future Convenience Store Challenge at IREX2019 is a stepping stone to the World Robot Summit 2020 slated for October 2020. PRDCSG is responsible for developing camera calibration technology required for the robot to localize its own position and also to precisely locate target objects for its pick-and-place tasks. Having a tough contest against the other 10 strong teams during a 3-day intensive competition, the NAIST-RITS-Panasonic team successfully landed the top spot for stocking and disposing tasks, while obtaining the 2nd position in a ranking for both customer interaction and restroom cleaning tasks.
Panasonic R&D Center Singapore’s Paper Accepted for Publication in an Upcoming Issue of the IEEE Transactions on Intelligent Vehicles (T-IV)
Teaming up with Nanjing University of Science and Technology (NUST), Panasonic R&D Center Singapore co-authored a journal paper titled “Vehicle…Read more
Paper accepted at NIPS2017 and another paper at CoR2017
PRDCSG, collaborating with Assistant Professor Feng Jiashi of the National University of Singapore (NUS), co-authored a paper1 titled “Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis” that has been accepted at the Conference and Workshop on Neural Information Processing Systems (NIPS) 2017Read more
PRDCSG Achieving the World’s Top Best Accuracy for Face Recognition
In collaboration with the National University of Singapore (NUS) and the Innovation Center of Connected Solutions of Panasonic Corporation, PRDCSG has recently developed face recognition technology that has achieved the world’s Top Best Accuracy for Face Recognition by benchmarking the dataset covering all the conditions taken in the surveillance market, the dataset of which is provided by the National Institute of Standards and Technology (NIST).Read more
Panasonic R&D Center Singapore’s paper accepted for presentation at the IEEE GLOBECOM 2020 and for publication in its proceedings
Panasonic R&D Center Singapore’s paper titled “Big Data Scenarios Simulator for Deep Learning Algorithm Evaluation for Autonomous Vehicles” has been…Read more