The Experts below are selected from a list of 45081 Experts worldwide ranked by ideXlab platform
John R Sauer - One of the best experts on this subject based on the ideXlab platform.
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertain...
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertainty, the flexibility of the model to suit a variety of experimental designs, and the composite estimate of the response that applies to the collection of observed species as opposed to merely a small subset of common species. Our modeling of the impacts of prescribed fire on avian communities in a ponderosa pine forest in Washington indicate that prescribed fire treatments result in increased occupancy rates for several bark-insectivore, cavity-nesting species including a management species of interest, Black-backed Woodpeckers (Picoides arcticus). Three aerial insectivore species, and the ground insectivore, American Robin (Turdus migratorius), also responded positively to prescribed fire, whereas three foliage insectivores and two seed specialists, Clark's Nutcracker (Nucifraga columbiana) and the Pine Siskin (Carduelis pinus), declined following treatments. Land management agencies interested in determining the effects of habitat manipulations on wildlife communities can use these methods to provide guidance for future management activities.
Robin E Russell - One of the best experts on this subject based on the ideXlab platform.
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertain...
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertainty, the flexibility of the model to suit a variety of experimental designs, and the composite estimate of the response that applies to the collection of observed species as opposed to merely a small subset of common species. Our modeling of the impacts of prescribed fire on avian communities in a ponderosa pine forest in Washington indicate that prescribed fire treatments result in increased occupancy rates for several bark-insectivore, cavity-nesting species including a management species of interest, Black-backed Woodpeckers (Picoides arcticus). Three aerial insectivore species, and the ground insectivore, American Robin (Turdus migratorius), also responded positively to prescribed fire, whereas three foliage insectivores and two seed specialists, Clark's Nutcracker (Nucifraga columbiana) and the Pine Siskin (Carduelis pinus), declined following treatments. Land management agencies interested in determining the effects of habitat manipulations on wildlife communities can use these methods to provide guidance for future management activities.
Ryan K Williams - One of the best experts on this subject based on the ideXlab platform.
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nonlinear observability of unicycle multi agent teams subject to sensor bias and Environmental Disturbance
Conference on Decision and Control, 2018Co-Authors: Larkin Heintzman, Ryan K WilliamsAbstract:In this paper, we consider the problem of localizing a team of unicycle agents with collaborative ranging, onboard compass measurements, and access to a subset of agent positions. Unlike previous work, we study the general multi-agent localization problem where we would like to also simultaneously estimate compass errors and an Environmental Disturbance experienced by all agents. The motivating example is localizing a team of autonomous underwater vehicles (AUVs), where GPS is not available to all agents, acoustic range-only measurements are common, and compass bias as well as Environmental Disturbances must be overcome. Significant work has been done in cooperative localization, however the idea of localization under the described conditions has not received much attention. We approach this problem by first looking at the nonlinear observability matrix, then analyzing it to determine conditions for observability of the multi-agent system. We then reduce the observability matrix to a metric that we exploit for planning observability maximizing agent trajectories under sensor bias and Environmental Disturbance. We then close with simulations.
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CDC - Nonlinear Observability of Unicycle Multi-Agent Teams Subject to Sensor Bias and Environmental Disturbance
2018 IEEE Conference on Decision and Control (CDC), 2018Co-Authors: Larkin Heintzman, Ryan K WilliamsAbstract:In this paper, we consider the problem of localizing a team of unicycle agents with collaborative ranging, onboard compass measurements, and access to a subset of agent positions. Unlike previous work, we study the general multi-agent localization problem where we would like to also simultaneously estimate compass errors and an Environmental Disturbance experienced by all agents. The motivating example is localizing a team of autonomous underwater vehicles (AUVs), where GPS is not available to all agents, acoustic range-only measurements are common, and compass bias as well as Environmental Disturbances must be overcome. Significant work has been done in cooperative localization, however the idea of localization under the described conditions has not received much attention. We approach this problem by first looking at the nonlinear observability matrix, then analyzing it to determine conditions for observability of the multi-agent system. We then reduce the observability matrix to a metric that we exploit for planning observability maximizing agent trajectories under sensor bias and Environmental Disturbance. We then close with simulations.
Seiichiro Katsura - One of the best experts on this subject based on the ideXlab platform.
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Design Strategies for Motion Reproduction Based on Environmental Disturbance Compensation
IEEE Transactions on Industrial Electronics, 2015Co-Authors: Yuki Nagatsu, Seiichiro KatsuraAbstract:This paper proposes a novel motion reproduction method based on Environmental Disturbance (EnvDs) compensation. The preservation of skillful techniques is an important issue. Although the motion-copying system (MCS) was proposed to deal with this problem, a clear strategy still does not exist for adapting to the Environmental variances between the motion saving and reproduction phases. Conventional methods cannot adapt to the difference properly because their control systems are just one-degree-of-freedom (DOF) control systems. In this paper, variances were defined as EnvDs, and the effect on the MCS was demonstrated. A 2-DOF control system structure was developed to compensate for EnvDs. The effectiveness of the proposed system was demonstrated through analysis and experimental results.
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human cooperative wheelchair for haptic interaction based on dual compliance control
IEEE Transactions on Industrial Electronics, 2004Co-Authors: Seiichiro Katsura, Kouhei OhnishiAbstract:A human and a robot will carry out a task which is not attainable by themselves. In particular, a human recognizes environment and plans his trajectory without collision with obstacles. On the other hand, a robot generates a controlled force more than a human. In this paper, the best combination of human ability and robot capacity is considered. Based on force commands from a human, a robot supports it A reaction torque observer is implemented in a robot to observe an Environmental Disturbance. Environmental Disturbance is classified into translational and rotational direction modes. As a result, adaptive force control in each mode is attained. Dual compliance control is applied to a wheelchair. A wheelchair that has the abilities of power-assist and relaxation of contact force is developed in this paper. As a result, operationality and stability are improved. The numerical and experimental results show the viability of the proposed method.
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A Wheelchair Type Mobile Robot Taking Environmental Disturbance into Account Based on Compliance Control
IEEJ Transactions on Industry Applications, 2002Co-Authors: Seiichiro Katsura, Kouhei OhnishiAbstract:Both human and robot will carry out a task which is not realizable by only each of them. In particular, human recognizes environment and reflects to trajectory planning well. On the other hand, robot generates the controlled force more than human. In this paper, the best combination of human ability and robot capacity is considered. Commands of human by a joy stick are changed into the virtual force commands instead of position commands. Thereby, a soft robot is able to be realized. When it collides with an obstacle, it controls softly to external force in order to relax the shock. This is realizable by applying compliance control to the human input and external force. Reaction force estimation observer is implemented in robot to detect Environmental Disturbance. Environmental Disturbance is classified into the mode of translational direction and rotational direction. By identifying Environmental friction coefficient and changing gain of a joy stick, when a passenger and a road surface situation change, the desired operation characteristic is achieved. The proposed method is applied to wheelchair. As a result, operationality and ride quality are improved.The experimental results show viability of the proposed method.
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A wheelchair type mobile robot taking Environmental Disturbance into account
7th International Workshop on Advanced Motion Control. Proceedings (Cat. No.02TH8623), 1Co-Authors: Seiichiro Katsura, Kouhei OhnishiAbstract:Both human and robot will carry out a task which is not realizable by only each of them. In particular, a human recognizes environment and reflects to trajectory planning well. On the other hand, the robot generates the controlled force more than a human. In this paper, the best combination of human ability and robot capacity is considered. Based on the force commands from a human, a robot supports it. A reaction force estimation observer is implemented in the robot to detect Environmental Disturbance. Environmental Disturbance is classified into the mode of translational direction and rotational direction. As a result, the adaptive force control in every mode is realized. External force is classified into the mode in frequency. The DC component of the external Disturbance is a steady state force from the environment such as friction. High frequency of external Disturbance might be a collision with an obstacle. This high frequency component will be relaxed by compliance control. Cooperation of human and robot is realized through force control. Three components including force command by human, DC component of external Disturbance and high frequency of external Disturbance are integrated to generate a force command to a robot. This force control is realized in each mode. The proposed method is applied to a wheelchair. As a result, operation and ride quality are improved. The numerical and experimental results show the viability of the proposed method.
William M Block - One of the best experts on this subject based on the ideXlab platform.
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertain...
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modeling the effects of Environmental Disturbance on wildlife communities avian responses to prescribed fire
Ecological Applications, 2009Co-Authors: Robin E Russell, Andrew J Royle, Victoria A Saab, John F Lehmkuhl, William M Block, John R SauerAbstract:Prescribed fire is a management tool used to reduce fuel loads on public lands in forested areas in the western United States. Identifying the impacts of prescribed fire on bird communities in ponderosa pine (Pinus ponderosa) forests is necessary for providing land management agencies with information regarding the effects of fuel reduction on sensitive, threatened, and migratory bird species. Recent developments in occupancy modeling have established a framework for quantifying the impacts of management practices on wildlife community dynamics. We describe a Bayesian hierarchical model of multi-species occupancy accounting for detection probability, and we demonstrate the model's usefulness for identifying effects of habitat Disturbances on wildlife communities. Advantages to using the model include the ability to estimate the effects of Environmental impacts on rare or elusive species, the intuitive nature of the modeling, the incorporation of detection probability, the estimation of parameter uncertainty, the flexibility of the model to suit a variety of experimental designs, and the composite estimate of the response that applies to the collection of observed species as opposed to merely a small subset of common species. Our modeling of the impacts of prescribed fire on avian communities in a ponderosa pine forest in Washington indicate that prescribed fire treatments result in increased occupancy rates for several bark-insectivore, cavity-nesting species including a management species of interest, Black-backed Woodpeckers (Picoides arcticus). Three aerial insectivore species, and the ground insectivore, American Robin (Turdus migratorius), also responded positively to prescribed fire, whereas three foliage insectivores and two seed specialists, Clark's Nutcracker (Nucifraga columbiana) and the Pine Siskin (Carduelis pinus), declined following treatments. Land management agencies interested in determining the effects of habitat manipulations on wildlife communities can use these methods to provide guidance for future management activities.