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Mayumi Komatsu

3 accepted papers

2024

A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation

IROS 2024poster

In this paper, a novel approach is proposed for learning robot control in contact-rich tasks such as wiping, by developing Diffusion Contact Model (DCM). Previous methods of learning such tasks relied on impedance control with time-varying stiffness tuning by performing Bayesian optimization by tria…

Cited by 1SourceScholar
2023

Learning Compliant Stiffness by Impedance Control-Aware Task Segmentation and Multi-Objective Bayesian Optimization with Priors

IROS 2023poster

Rather than traditional position control, impedance control is preferred to ensure the safe operation of industrial robots programmed from demonstrations. However, variable stiffness learning studies have focused on task performance rather than safety (or compliance). Thus, this paper proposes a nov…

Cited by 4SourceScholar
2017

External control of walking direction, using cross-wire mobile assist suit

IROS 2017poster

In this paper, we control the walking direction of a subject using an assistive robotic device for the first time, using the internal/external rotation hip torque generated by our cross-wire assist suit to induce turning gait. The cross-wire assist device is a soft exosuit with four independently co…

Cited by 5SourceScholar