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Archive | 2010

Autonomous 3D Shape Modeling and Grasp Planning for Handling Unknown Objects

Yamazaki Kimitoshi; Masahiro Tomono; Takashi Tsubouchi

To handle a hand-size object is one of fundamental abilities for a robot which works on home and office environments. Such abilities have capable of doing various tasks by the robot, for instance, carrying an object from one place to another. Conventionally, researches which coped well with such challenging tasks have taken several approaches. The one is that detail object models were defined in advance (Miura et al., 2003) , (Nagatani & Yuta, 1997 ) and (Okada et al., 2006). 3D geometrical models or photometric models were utilized to recognize target objects by vision sensors, and their robots grasped its target objects based on the handling point given by manual. Other researchers took an approach to give information to their target objects by means of ID tags (Chong & Tanie, 2003} or QR codes (Katsuki et al., 2003). In these challenges, what kind of information of the object should be defined was mainly focused on. These researches had an essential problem that a new target object cannot be added without a heavy programming or a special tools. Because there are plenty of objects in real world, robots should have abilities to extract the information for picking up the objects autonomously. We are motiveted above way of thinking so that this chapter describes different approach from conventional researches. Our approach has two special policies for autonomous working. The one is to create dense 3D shape model from image streams (Yamazaki et. al., 2004). Another is to plan various grasp poses from the dense shape of the target object (Yamazaki et. al., 2006). By combining the two approaches, it is expected that the robot will be capable of handling in daily environment even if it targets an unknown object. In order to put all the characteristics, following conditions are allowed in our framework: The position of a target object is given No additional information on the object and environment is given No information about the shape of the object is given No information how to grasp it is given 22


Journal of the Robotics Society of Japan | 1990

Position Identification Method for Mobile Robots using Color Image

Shigeki Iida; Takashi Tsubouchi; Shin'ichi Yuta


Journal of the Robotics Society of Japan | 1989

Representation of Map and Generation of Perspective for the Mobile Robot Vision System in Building Environment

Takashi Tsubouchi; Shin'ichi Yuta


Journal of the Robotics Society of Japan | 2013

Dominant Direction Detection using the Characteristics of Indoor Environment Shape for Autonomus Mobile Robots

Shigeru Bando; Shin'ichi Yuta; Takashi Tsubouchi


Transactions of the JSME (in Japanese) | 2017

Tip-over prevention control for teleoperated excavator based on CoG and ZMP prediction

Kosuke Shigematsu; Takashi Tsubouchi; Shigeru Sarata


The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2017

Motion Planning of 3-Dimensional Snake-like Robot in Unknown Environment:: Odometry for Self-localization in Rough Terrain@@@―不整地における自己位置推定のためのオドメトリ―

Taro Abe; Hisashi Date; Takashi Tsubouchi


The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2017

Automatic adjustment of operation input based on excavator motion prediction for tip-over prevention of a teleoperated excavator

Kosuke Shigematsu; Takashi Tsubouchi; Shigeru Sarata


The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2017

Reliability Distinction Using Only Observation Data in GNSS Carrier-Phase Differential Measurement

Ryo Watanabe; Takashi Tsubouchi; Yoshitaka Hara


The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2016

Construction of stereoscopic video presentation system using a stereo image processing for robot remote operation support

Yuichi Konishi; Takashi Tsubouchi; Akihisa Ohya


The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2016

Automatic Construction of Envorinment Model for Simulator Gazebo from Sensor Data

Ryohsuke Mitsudome; Hisashi Date; Akihisa Ohya; Takashi Tsubouchi; Kosuke Shigematsu; Azumi Suzuki

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Shin'ichi Yuta

Shibaura Institute of Technology

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Hisashi Date

Tokyo Institute of Technology

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Yoshihiro Takita

National Defense Academy of Japan

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