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Jun Ota

9 accepted papers

2026

A VAGP-Based Adaptive Kalman Filter for Force Estimation of Robot

RA-L 2026

In human-robot interaction, external force measurement is fundamental to achieving robot compliance control. Parameter identification based on robot dynamics enables external force detection without expensive sensors. However, the unmodeled dynamic errors inherent in real robots pose a challenge to

Cited by 0SourceScholar
2025

Experience-based Optimal Motion Planning Algorithm for Solving Difficult Planning Problems Using a Limited Dataset

RA-L 2025

This study addresses the challenge of generating high-quality motion plans within a short computation time using only a limited dataset. In the informed experience-driven random trees connect star (IERTC*) process, the algorithm flexibly explores the search trees by morphing the micro paths generate

Cited by 2SourceScholar
2024

Acoustic-N-Point for Solving 2D Forward Looking Sonar Pose Estimation

RA-L 2024

2D forward looking sonar (FLS) has gained widespread application in underwater robotics research, primarily due to its capacity to produce high-resolution images in diverse aquatic environments. This study deals with pose estimation with given 3D positions and corresponding 2D pixels, which is a fun

Cited by 8SourceScholar
2024

Stepwise Large-Scale Multi-Agent Task Planning Using Neighborhood Search

RA-L 2024

This letter presents a novel stepwise multi-agent task planning method that incorporates neighborhood search to address large-scale problems, thereby reducing computation time. With an increasing number of agents, the search space for task planning expands exponentially. Hence, conventional methods

Cited by 2SourceScholar
2023

Learning Robot Motion in a Cluttered Environment Using Unreliable Human Skeleton Data Collected by a Single RGB Camera

RA-L 2023

Existing learning from demonstration (LfD) frameworks have difficulty dealing with unreliable and limited number of demonstrations. To address this issue, we proposed a new motion planning framework named experience-driven random tree connect with human demonstration (ERTC-HD), which can facilitate

Cited by 3SourceScholar
2020

Objective Functions of Principal Contact Estimation from Motion Based on the Geometrical Singular Condition

IROS 2020poster

In this paper, we propose objective functions to estimate the principal contact between a unknown manipulated target object and its unknown surroundings from the motion of the object. We derived the objective functions based on the fact that contact involves a pair of geometrical primitives (a point…

Cited by 1SourceScholar
2019

Contact-Event-Triggered Mode Estimation for Dynamic Rigid Body Impedance-Controlled Capture

ICRA 2019poster

This paper presents a contact-event-triggered filter using only a force-torque sensor with impedance control for non-cooperative, rotating, heavy object capture. Contact events are modeled for prediction, and detected to trigger the particle filter's updating process. By combining these features, a…

Cited by 3SourceScholar
2018

Jet-HR1: Stepping Posture Optimization for Bipedal Robot Over Large Ditch Based on a Ducted-fan Propulsion System

IROS 2018poster

This paper reports the latest progress of an ongoing project utilizing a ducted-fan propulsion system to improve a humanoid robot's ability to step over a broad ditch with a height difference between the two sides. This work focuses on the methods of calculating the boundary and optimizing stepping…

Cited by 9SourceScholar