5 citations · 6 across the 3 of their papers we have counts for
4 papers
SynIL: Leveraging Synergy for Offline Imitation Learning from Imperfect Demonstration Datasets
Yuto Tanaka, Kyo Kutsuzawa, Martina Doku +2
Imitation learning enables robots to acquire complex skills directly from massive demonstration datasets, but its performance degrades severely when datasets are contaminated with…
Simultaneous estimation of contact position and tool shape with high-dimensional parameters using force measurements and particle filtering
Kyo Kutsuzawa, Mitsuhiro Hayashibe
Estimating the contact state between a grasped tool and the environment is essential for performing contact tasks such as assembly and object manipulation. Force signals are valuab…
Assembly robots with optimized control stiffness through reinforcement learning
Masahide Oikawa, Kyo Kutsuzawa, Sho Sakaino +1
There is an increased demand for task automation in robots. Contact-rich tasks, wherein multiple contact transitions occur in a series of operations, are extensively being studied…
Motion Generation Considering Situation with Conditional Generative Adversarial Networks for Throwing Robots
Kyo Kutsuzawa, Hitoshi Kusano, Ayaka Kume +1
When robots work in a cluttered environment, the constraints for motions change frequently and the required action can change even for the same task. However, planning complex moti…