19 citations · 69 across the 9 of their papers we have counts for
10 papers
Online Material Estimation for Conditioned Diffusion Policy in Shaping Deformable Linear Objects
Ryunosuke Yamada, Tomohiro Motoda, Yukiyasu Domae +1
Shape control of deformable linear objects (DLOs) is challenging for imitation learning because deformation behavior varies with material properties such as stiffness and elasticit…
Casting manipulation of unknown string by robot arm
Kenta Tabata, Hiroaki Seki, Tokuo Tsuji +1
Casting manipulation has been studied to expand the robot's movable range. In this manipulation, the robot throws and reaches the end effector to a distant target. Usually, a speci…
Lightweight High-Speed and High-Force Gripper for Assembly
Toshihiro Nishimura, Takeshi Takaki, Yosuke Suzuki +2
This paper presents a novel industrial robotic gripper with a high grasping speed (maximum: 1396 mm/s), high tip force (maximum: 80 N) for grasping, large motion range, and lightwe…
1-degree-of-freedom Robotic Gripper With Infinite Self-Twist Function
Toshihiro Nishimura, Yosuke Suzuki, Tokuo Tsuji +1
This study proposed a novel robotic gripper that can achieve grasping and infinite wrist twisting motions using a single actuator. The gripper is equipped with a differential gear…
Sensing and Control of Friction Mode for Contact Area Variable Surfaces (Friction-variable Surface Structure)
Seita Nojiri, Akihiko Yamaguchi, Yosuke Suzuki +2
Robotic hands with soft surfaces can perform stable grasping, but the high friction of the soft surfaces makes it difficult to release objects, or to perform operations that requir…
Soft robotic hand with finger-bending/friction-reduction switching mechanism through 1-degree-of-freedom flow control
Toshihiro Nishimura, Kensuke Shimizu, Seita Nojiri +4
This paper proposes a novel pneumatic soft robotic hand that incorporates a mechanism that can switch the airflow path using a single airflow control. The developed hand can contro…
Robots Assembling Machines: Learning from the World Robot Summit 2018 Assembly Challenge
Felix von Drigalski, Christian Schlette, Martin Rudorfer +5
The Industrial Assembly Challenge at the World Robot Summit was held in 2018 to showcase the state-of-the-art of autonomous manufacturing systems. The challenge included various ta…
Experiments on Learning Based Industrial Bin-picking with Iterative Visual Recognition
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper shows experimental results on learning based randomized bin-picking combined with iterative visual recognition. We use the random forest to predict whether or not a robo…
Iterative Visual Recognition for Learning Based Randomized Bin-Picking
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper proposes a iterative visual recognition system for learning based randomized bin-picking. Since the configuration on randomly stacked objects while executing the current…
Initial Experiments on Learning-Based Randomized Bin-Picking Allowing Finger Contact with Neighboring Objects
Kensuke Harada, Weiwei Wan, Tokuo Tsuji +3
This paper proposes a novel method for randomized bin-picking based on learning. When a two-fingered gripper tries to pick an object from the pile, a finger often contacts a neighb…