April 2020. Our article "Phase Portraits as Movement Primitives for Fast Humanoid Robot Control" has been accepted for publication in the Neural Networks journal. [preprint][BibTex]
April 2020. New pre-print. "Visual Task Progress Estimation with Appearance Invariant
Embeddings for Robot Control and Planning" [pdf]
March 2020. We are organizing a workshop for Robotics: Science and Systems (RSS) 2020 "Closing the Academia to Real-World Gap in Service Robotics". We have a call for paper in the website. The goal is to discuss the practical (and impractical) aspects of research related to service robots, from both industry and academia.
December 2019 - New NeurIPS workshop paper. Zhangwei H, Nagarajan P, Maeda G. "Swarm-Inspired Reinforcement Learning via Collaborative Inter-Agent Knowledge Distillation". In: NeurIPS 2019 Deep Reinforcement Learning Workshop. 2019. [pdf][BibTeX]
December 2019 - New IJRR journal article. Lioutikov, R.; Maeda, G.; Veiga, F.; Kersting, K.; Peters, J. (2019) “Learning Attribute Grammars
for Movement Primitive Sequencing”. The International Journal of Robotics Research (IJRR). In press. [BibTeX]
December 2019 - I am starting to move my previous website into here. The previous one (https://gjmaeda.com/) is not going to be updated anymore. It will be eventually shut down.