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Matthew Ishige

5 accepted papers

2025

Opt-in Camera: Person Identification in Video via UWB Localization and Its Application to Opt-in Systems

IROS 2025

This paper presents opt-in camera, a concept of privacy-preserving camera systems capable of recording only specific individuals in a crowd who explicitly consent to be recorded. Our system utilizes a mobile wireless communication tag attached to personal belongings as proof of opt-in and as a means

Cited by 2SourceScholar
2024

Delicate Jamming Grasp: Detecting Deformation of Fragile Objects Using Permanent Magnet Elastomer Membrane

RA-L 2024

Jamming grippers can grasp objects of various shapes with simple control. However, grasping fragile objects is challenging, as a secure grasp requires firm pressing, which can potentially damage delicate objects. Thus, it is important to achieve an appropriate pressing distance for damage-free grasp

Cited by 7SourceScholar
2020

Blind Bin Picking of Small Screws Through In-finger Manipulation With Compliant Robotic Fingers

IROS 2020poster

Although picking up objects a few centimeters in size is a common task, achieving such ability in a robot manipulator remains challenging. We take a step toward solving this problem by focusing on the task of picking a 1.0-cm screw from a bulk bin using only tactile information to achieve the task.…

Cited by 10SourceScholar
2020

Ramus: A Frequency-Multiplexed Power Bus for Powering, Sensing and Controlling Robots

RA-L 2020

As robots become more complex, small, and sophisticated, the cost and effort necessary for “wiring” become critical; the complex wiring makes the fabrication costly and necessitates care about space and stiffness of wires, which can inhibit the deformation of soft-bodied robots. The concept of power

Cited by 0SourceScholar
2018

Learning Oscillator-Based Gait Controller for String-Form Soft Robots Using Parameter-Exploring Policy Gradients

IROS 2018poster

This paper presents a methodology to design mechanosensor feedback to oscillator-based controller for worm-like soft-bodied robots. A reinforcement learning technique, i.e., PEPG, is employed to embed appropriate mechanosensor feedback to harness global entrainment among the controller, the body dyn…

Cited by 11SourceScholar