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S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.

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Using EM to Learn Motion Behaviors of Persons with Mobile.. - Bennewitz, Burgard, Thrun (2002)   (7 citations)  (Correct)

....a variety of techniques has been developed that allows a robot to estimate the positions of people in its vicinity or to adapt its behavior accordingly. For example, the techniques described in [15] are designed to track multiple persons in the vicinity of a robot. The approach presented in [16] uses a given probabilistic model of typical motion behaviors in order to predict future poses of the persons. The system described in [8] uses a camera to estimate where persons typically walk and adapts the trajectory of the robot appropriately. 17] apply a HiddenMarkov Model to predict the ....

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


Learning Motion Patterns of Persons for Mobile Service Robots - Bennewitz, Burgard, Thrun (2002)   (13 citations)  (Correct)

....a variety of techniques has been developed that allows a robot to estimate the positions of people in its vicinity or to adapt its behavior accordingly. For example, the techniques described in [16] are designed to track multiple persons in the vicinity of a robot. The approach presented in [17] uses a given probabilistic model of typical motion behaviors in order to predict future poses of the persons. 6] present an approach to improve the behavior of a robot by following the activities of a teacher. The system described in [8] uses a camera to estimate where persons typically walk and ....

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 1995.


Predictive Autonomous Robot Navigation - Foka (2002)   (1 citation)  (Correct)

....the future motion prediction of humans or obstacles into the sequential decision problem of navigation modelled by a POMDP. Previous work that made use of future motion prediction has made assumptions about the movement of obstacles and it has been only used in local collision avoidance modules [19, 60, 64, 52, 29, 6, 61, 34]. In this thesis we intend to eliminate or, alternatively, relax such assumptions about the movement of obstacles and also make use of this information in the global navigation model. This will allow for more e#cient use of this information. Moreover, the POMDP model is proposed in order to ....

....placed. A first attempt to predict future positions of moving obstacles was to use an autoregressive (AR) model [19, 60] Zhu [64] used a Hidden Markov Model (HMM) to describe and predict the motions of obstacles in dynamic environments. HMM s have also been used to model the movement of humans [52].Other stochastic models, such as random walk process with Gaussian distribution [29] have been used to model the motion of obstacles. Artificial Neural Networks (ANN s) have also been used to predict the future motion of obstacles [6, 61] All the previously mentioned methods have made ....

Satoshi Tadokoro, Masaki Hayashi, and Yasushiro Manabe. On motion planning of mobile robots which coexist and cooperate with human. In Proceedings of the 1995.


Predictive Autonomous Robot Navigation - Foka, Trahanias (2002)   (1 citation)  (Correct)

....Process (POMDP) In this paper it is proposed to integrate the future motion prediction of humans or obstacles into the sequential decision problem of navigation modelled by a POMDP. Previous work that made use of future motion prediction has been only used in local collision avoidance modules [7, 5, 2, 9, 6]. In this paper, we make use of the prediction information in the global navigation model. Moreover, the POMDP model is used to formulate the navigation task because it provides a probabilistic way of representing information and also solves the localization problem. POMDPs have been previously ....

S. Tadokoro, M. Hayashi, and Y. Manabe. On motion planning of mobile robots which coexist and cooperate with human. Proc. IEEE Int. Conf. Intell. Robots and Syst., 1995, pp. 518--523.


Learning Motion Patterns of Persons for Mobile Service Robots - Bennewitz, Burgard, Thrun (2002)   (13 citations)  (Correct)

....a variety of techniques has been developed that allows a robot to estimate the positions of people in its vicinity or to adapt its behavior accordingly. For example, the techniques described in [16] are designed to track multiple persons in the vicinity of a robot. The approach presented in [17] uses a given probabilistic model of typical motion behaviors in order to predict future poses of the persons. 6] present an approach to improve the behavior of a robot by following the activities of a teacher. The system described in [8] uses a camera to estimate where persons typically walk and ....

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 1995.


People Tracking with a Mobile Robot Using Sample-based .. - Schulz, Burgard, Fox, .. (2003)   (7 citations)  (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.


Predictive Autonomous Robot Navigation - Foka (2005)   (1 citation)  (Correct)

No context found.

Satoshi Tadokoro, Masaki Hayashi, and Yasushiro Manabe. On motion planning of mobile robots which coexist and cooperate with human. In Proceedings of the 1995.


TOURBOT and WebFAIR: Web-Operated Mobile Robots.. - Burgard.. (2002)   (1 citation)  (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.


Where is . . . ? Learning and Utilizing Motion.. - Cielniak, Bennewitz..   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


Mobile Robot Mapping in Populated Environments - Hähnel, Schulz, Burgard   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995. 13


Adapting Navigation Strategies Using Motions Patterns of.. - Bennewitz, Burgard, Thrun (2003)   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


People Tracking with a Mobile Robot Using Sample-Based .. - Schulz, Burgard, Fox, .. (2003)   (3 citations)  (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.


Where is . . . ? Learning and Utilizing Motion.. - Cielniak, Bennewitz.. (2003)   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


Robust Localization of Persons Based on Learned Motion.. - Cielniak, Bennewitz..   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


Robust Localization of Persons Based on Learned Motion.. - Grzegorz Cielniak Maren   (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 1995.


TOURBOT and WebFAIR: Web-Operated Mobile Robots.. - Burgard.. (2002)   (1 citation)  (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.


TOURBOT and WebFAIR: Web-Operated Mobile Robots.. - Burgard.. (2002)   (1 citation)  (Correct)

No context found.

S. Tadokoro, M. Hayashi, Y. Manabe, Y. Nakami, and T. Takamori. On motion planning of mobile robots which coexist and cooperate with human. In Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 1995.

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