6 citations · 7 across the 2 of their papers we have counts for
3 papers
cs.RO2023★ 6 cited
Deep Predictive Learning: Motion Learning Concept inspired by Cognitive Robotics
Kanata Suzuki, Hiroshi Ito, Tatsuro Yamada +2
Bridging the gap between motion models and reality is crucial by using limited data to deploy robots in the real world. Deep learning is expected to be generalized to diverse situa…
cs.RO2021
Material Classification Using Active Temperature Controllable Robotic Gripper
Yukiko Osawa, Kei Kase, Yukiyasu Domae +2
Recognition techniques allow robots to make proper planning and control strategies to manipulate various objects. Object recognition is more reliable when made by combining several…
cs.RO2020★ 1 cited
Transferable Task Execution from Pixels through Deep Planning Domain Learning
Kei Kase, Chris Paxton, Hammad Mazhar +2
While robots can learn models to solve many manipulation tasks from raw visual input, they cannot usually use these models to solve new problems. On the other hand, symbolic planni…