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Hirofumi Shin

8 accepted papers

2026

Energy-Based Closed-Form Solution of the Divergent Component of Motion for Nonlinear Inverted Pendulum Trajectories

RA-L 2026

The divergent component of motion (DCM) quantifies the unstable component of a robot's motion and is widely used for online motion planning and stabilization in robots. Although the DCM is derived from the linear inverted pendulum model, which admits a closed-form solution, extending it to nonlinear

Cited by 0SourceScholar
2026

Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction

RA-L 2026

Regulating grasping force to reduce slippage during dynamic object interaction remains a fundamental challenge in robotic manipulation, especially when objects are manipulated by multiple rolling contacts, have unknown properties (such as mass or surface conditions), and when external sensing is unr

Cited by 1SourceScholar
2026

Tracing Energy Flow: Learning Tactile-Based Grasping Force Control to Reduce Slippage in Dynamic Object Interaction

ICRA 2026poster

Regulating grasping force to reduce slippage during dynamic object interaction remains a fundamental challenge in robotic manipulation, especially when objects are manipulated by multiple rolling contacts, have unknown properties (such as mass or surface conditions), and when external sensing is unr…

Cited by 0SourceScholar
2025

Virtual Masses Description Forming Conservative System for Periodic Trajectory Modification of Robust Intermittent Controller

RA-L 2025

An intermittent controller, which alternates between phases of no control and feedback control, provides a robust, computationally and energetically efficient method by leveraging the robot's passive dynamics. However, this approach, especially during rapid motions and when facing disturbances, beco

Cited by 0SourceScholar
2023

Reinforcement Learning With Energy-Exchange Dynamics for Spring-Loaded Biped Robot Walking

RA-L 2023

This paper presents a probabilistic Model-based Reinforcement Learning (MBRL) approach for learning the Energy-exchange Dynamics (EED) of a spring-loaded biped robot. Our approach enables on-site walking acquisition with high sample efficiency, real-time planning capability, and generalizability acr

Cited by 7SourceScholar
2022

Development and Analysis of a Biped Robot with Prismatic Compliance

ICRA 2022poster

Previous studies suggest that bipedal robots that have prismatic compliance in the legs can achieve efficient walking. However, how this efficiency can be achieved still remains an open research problem. In this study, we developed a 2-degree-of-freedom planar bipedal robot comprising Neidhart sprin…

Cited by 6SourceScholar
2022

Load-sensitive Data Acquisition for a Tactile Sensor System of Multi-fingered Robotic Hands

ICRA 2022poster

In this paper, we present a data acquisition method to realize a distributed tactile sensor system that can provide wide-range, and high-sensitivity with a small data size for communication. Since the data size is proportional to the number of acquired data and the resolution of the data, we propose…

Cited by 2SourceScholar
2015

Understanding function of gluteus medius in human walking from constructivist approach

IROS 2015poster

Humans can walk stably and adaptively in the presence of various environmental changes. Their bodies have very complex musculoskeletal structures that contribute to their walking stability and adaptability. In this paper, we focus on the gluteus medius, one of muscles contributing to the support of…

Cited by 5SourceScholar