Develop personal robots.
We are going research projects for earlier commercialization of personal robots. It includes developments of machine-learning algorithms, control methods and hardware components that enable the robots to acquire appropriate behaviors through processes of a huge amount of visual/tactile sensory information even in various and hard-to-predict situations by humans’ ad hoc implementations.
Learning-based Collision-free Planning on Arbitrary Optimization Criteria in the Latent Space through cGANs
Advanced Robotics 2023
By : Tomoki Ando, Hiroto Iino, Hiroki Mori, Ryota Torishima, Kuniyuki Takahashi, Shoichiro Yamaguchi, Daisuke Okanohara, Tetsuya Ogata
Goal-Image Conditioned Dynamic Cable Manipulation through Bayesian Inference and Multi-Objective Black-Box Optimization
By : Kuniyuki Takahashi, Tadahiro Taniguchi
F1 Hand: A Versatile Fixed-Finger Gripper for Delicate Teleoperation and Autonomous Grasping
IEEE Robotics and Automation Letters (RA-L) with IROS2022