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Kenichi Murakami

7 accepted papers

2026

A 3D Vision-Based Framework for Teleoperation and Dynamic Catching With a High-Speed Multi-Fingered Hand

RA-L 2026

Driven by significant advancements in structure, sensors, and control algorithms, multi-fingered hand systems have received increasing attention from both academia and industry. While existing research primarily focuses on the interaction static rigid objects manipulation, real-world scenarios often

Cited by 0SourceScholar
2026

Toward Simplicity and Practicality: A Novel Framework and Guidance for Robotic Table Tennis Applications

RA-L 2026

Although many impressive advances have been reported in the table tennis robots field using reinforcement learning method, challenges related to policy complexity and adaptability continue to hinder large-scale deployment and practical applications. In this work, building upon extensive prior studie

Cited by 0SourcecodeScholar
2025

SEAL: A Sample-Efficient Adjustment-Learning Method for Table Tennis Robot Serve

ICRA 2025

Table tennis robots have significantly advanced in performance owing to the rapid progress in deep learning and reinforcement learning technologies. However, these advancements often require a large number of training samples. Besides, research focused on the robot serve task remains relatively limi

Cited by 1SourceScholar
2019

High-Speed, Small-Deformation Catching of Soft Objects Based on Active Vision and Proximity Sensing

RA-L 2019

In this letter, we propose a combination of sensing and control modules for catching soft objects (i.e., a marshmallow and paper balloon) at a high speed with small deformation. A paper balloon and marshmallow are deformed by a small force and they have individual differences in terms of softness. T

Cited by 18SourceScholar
2017

Impedance Control Design Based on Plastic Deformation for a Robotic Arm

RA-L 2017

In this study, the impedance control for smoothly receiving the impact of an incoming object is designed and realized. The control strategy is based on the idea that the back drive motion of an end effector attributable to the collision impact is regarded as plastic deformation of the robot. The imp

Cited by 29SourceScholar
2016

Deformation control of a multijoint manipulator based on maxwell and voigt models

IROS 2016poster

In this study, a deformation control with spatial decoupling properties is designed and implemented. This control strategy treats the shift in position and posture attributable to an external force as the deformation of the robot. The deformation dynamics are constructed from the Maxwell and Voigt m…

Cited by 11SourceScholar
2015

Visual shock absorber based on maxwell model for anti-rebound control

IROS 2015poster

A visually guided shock absorber for high-speed catching without rebound is designed and realized. This visual shock absorber is based on the Maxwell model, which uses plastic deformation to suppress rebounding. The shock absorber is constructed from a spring-based passive elastic body and a servo c…

Cited by 23SourceScholar