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Takashi Kubota

10 accepted papers

2021

Adaptive Terrain Traversability Prediction based on Multi-Source Transfer Gaussian Processes

IROS 2021poster

This study addresses the challenge of predicting the terrain traversability of off-road vehicles. When an off-road vehicle is operated on rough terrains or slopes of unconsolidated materials, it is crucial to accurately predict terrain traversability for efficient operations and to avoid critical mo…

Cited by 10SourceScholar
2020

A New Path Planning Architecture to Consider Motion Uncertainty in Natural Environment

ICRA 2020poster

This paper proposes a new path planning algorithm to consider motion uncertainty for wheeled robots in rough environments. The proposed method uses particles to express the uncertainty propagation in complicated environments constructed with various types of terrain. Also, RRT (Rapidly-exploring Ran…

Cited by 10SourceScholar
2020

Robust Path Planning for Slope Traversing Under Uncertainty in Slip Prediction

RA-L 2020

This letter addresses the path planning problem for a rover on deformable, sloped terrains. As such terrains induce high slip and possible immobilization of rovers, finding a path that avoids critical slip is important for traversing the terrains. However, it is difficult to predict rover slippage p

Cited by 35SourceScholar
2019

Central Pattern Generators Control of Momentum Driven Compliant Structures

ICRA 2019poster

We introduce the concept of Momentum Driven Structures (MDS) made of inertially actuated units linked together by compliant elements as a potential solution for rough environments exploration. We propose a control method for MDS based on the bio-inspired concept of Central Pattern Generator (CPG) an…

Cited by 2SourceScholar
2019

Evaluation of Hopping Robot Performance With Novel Foot Pad Design on Natural Terrain for Hopper Development

RA-L 2019

This letter presents the hopping performance evaluation on three types of terrains and novel foot pad designs for efficient traverse of hopping rovers. Hopping rovers, called Hopper, are expected to explore scientific richness areas where wheeled vehicles are hard to traverse. In order to succeed in

Cited by 6SourceScholar
2018

Control of Multiple Passive-Follower Type Robots Based on Feasible Braking Control Region Analysis

ICRA 2018poster

Ahstract- In this study, we propose a development and formation control of a passive mobile robot equipped only with servo brakes and no motors. The developed passive mobile robot can move forward by utilizing an external pulling force, and steers itself by controlling the servo brakes attached to e…

Cited by 10SourceScholar
2018

Passive Spine Gripper for Free-Climbing Robot in Extreme Terrain

RA-L 2018

In this letter, we present a passive spine gripper that can hold rough rocky surfaces of boulders on cliff walls, and we discuss its application to a four-limbed robot for free-climbing in extreme terrain. The limbed robot has four degrees of freedom in each limb, where three are to drive joints of

Cited by 51SourceScholar
2017

Blade-type crawler vehicle with gyro wheel for stably traversing uneven terrain at high speed

ICRA 2017poster

Unmanned rescue, observation, and/or research vehicles with high terrain adaptability, high speed, and high reliability are needed in difficult-to-reach locations. However, for most vehicles, high performance over rough terrain reduces the travel speed and/or requires complex mechanisms. We have dev…

Cited by 5SourceScholar
2016

Autonomous Terrain Classification With Co- and Self-Training Approach

RA-L 2016

Identifying terrain type is crucial to safely operating planetary exploration rovers. Vision-based terrain classifiers, which are typically trained by thousands of labeled images using machine learning methods, have proven to be particularly successful. However, since planetary rovers are to boldly

Cited by 93SourceScholar