Takashi Sagisaka
University of Tokyo
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Publication
Featured researches published by Takashi Sagisaka.
ieee-ras international conference on humanoid robots | 2011
Takashi Sagisaka; Yoshiyuki Ohmura; Yasuo Kuniyoshi; Akihiko Nagakubo; Kazuyuki Ozaki
To understand the human intelligence involved phys- ical manipulation of objects, detailed assessment of the states of contact between the surface of the hand and the objects is necessary. This paper proposes a tactile sensing glove based on a branch-shaped tactile sensor sheet that enables pressure measurement at 1052 points on a human hand without critically interfering with the movements of joints on the hand. The change in joint moveability by wearing the glove is evaluated in an experiment, and the result shows the effectiveness of proposed glove design. Finally, as a preliminary result, the data measured when manipulating everyday objects are shown. The glove for assessing human hand skills can contribute not only to the dexterity of robots but also to the implementation method of robotic tactile sensors.
ieee-ras international conference on humanoid robots | 2007
Tomoaki Yoshikai; Marika Hayashi; Yui Ishizaka; Takashi Sagisaka; Masayuki Inaba
In order for humanoids to be able to have close interactions with humans or environments using whole body contacts, development of humanoids with soft sensor flesh is one of the key issues. Therefore we have been developed dasiamacrapsila, a humanoid with soft sensor flesh, and it can sense distributed 3D force directions during interaction behavior with humans or environments. However, development of such hardware system itself is not enough. For utilizing the hardware ability more effectively, design of interaction behavior using rich sensor information including tactile sensors is indispensable. Clearly, the analytical design for the specific task is getting harder for such humanoids. This is because those kinds of humanoids are expected to have many contact points with outer environments during their interaction behavior. Also, many locally occurred events, which humanoids have to response, are detected by the distributed sensors. In order to deal with such complex circumstances, behavior integration system is introduced in the interaction behavior of the humanoids with soft sensor flesh. By introducing such behavior integration system, adaptability to many local events can be added incrementally. Also the analytically designed and slightly limited behaviors can be accumulated for generating next richer behavior during the close interactions with humans or outer environments. As such behavior integration system, dasiaParallel Evaluating Monitorspsila are introduced and applied to the macras interaction behaviors with humans and environments in this paper.
international conference on human haptic sensing and touch enabled computer applications | 2012
Takashi Sagisaka; Yoshiyuki Ohmura; Akihiko Nagakubo; Kazuyuki Ozaki; Yasuo Kuniyoshi
To understand principles of human hand dexterity, investigation of dynamic contact control by the hand is essential. Here, we developed a novel high-density tactile sensing glove lined with flexible printed circuit boards (FPCs) which were embedded with 1-mm-sized pressure sensitive elements at 1052 points per hand. Those FPCs are arranged in such a way that did not interfere with natural hand movements. In order to demonstrate how the glove captures the hands sensation and action, we conducted two experiments while human subjects wore the glove. First, we investigated the relationship between pressure distribution and external force exerted on a grasped object. The results showed that the external force correlates to the pressure distribution and that the direction of the external force can be roughly estimated from the pressure distribution. Second, we observed object discrimination by a blindfold subject. As a result, the difference of exploratory patterns arises from difference of objects used in the task was successfully observed from the data of the glove.
intelligent robots and systems | 2007
Marika Hayashi; Takashi Sagisaka; Yui Ishizaka; Tomoaki Yoshikai; Masayuki Inaba
Advances in Artificial Intelligence | 2012
Tomoaki Yoshikai; Marika Hayashi; Yui Ishizaka; Hiroko Fukushima; Asuka Kadowaki; Takashi Sagisaka; Kazuya Kobayashi; Iori Kumagai; Masayuki Inaba
Archive | 2012
Yasuo Kuniyoshi; 國吉康夫; Yoshiyuki Ohmura; 大村吉幸; Takashi Sagisaka; 鷺坂隆志; Akihiko Nagakubo; 長久保晶彦; Kazuyuki Ozaki; 尾▲崎▼和行; Taisuke Kimura; 木村泰介; Takashige Ohsawa; 大澤貴重; Masatoshi Nakajima; 中島正敏; Masayuki Noguchi; 埜口正行; Katsuyoshi Iizuka; 飯塚勝義
Journal of the Robotics Society of Japan | 2012
Takashi Sagisaka; Yoshiyuki Ohmura; Akihiko Nagakubo; Yasuo Kuniyoshi; Kazuyuki Ozaki
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2014
Ryo Wakatabe; Yasunori Yamada; Takashi Sagisaka; Yoshiyuki Ohmura; Yasuo Kuniyoshi
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2008
Takashi Sagisaka; Yasuo Kuniyoshi
The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) | 2007
Takashi Sagisaka; Marika Hayashi; Tomoaki Yoshikai; Ikuo Mizuuchi; Masayuki Inaba
Collaboration
Dive into the Takashi Sagisaka's collaboration.
National Institute of Advanced Industrial Science and Technology
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