Autonomous systems operating in unstructured and complex agricultural environments are susceptible to errors leading to uncertain losses in the efficiency of the system. In robotic harvesting, these losses would trans...
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Autonomous systems operating in unstructured and complex agricultural environments are susceptible to errors leading to uncertain losses in the efficiency of the system. In robotic harvesting, these losses would translate into lower harvesting efficiency. To this end, it is desirable to improve harvesting efficiency of robotic systems through human collaboration. the added labor costs associated with human involvement could be a concern since the robotic harvesting systems are expected to reduce harvesting costs. therefore, the objective of this work is to develop optimal human-robot collaboration policies that minimize the risk of economic losses by identifying the components of the system that need to be serviced by a human supervisor all while guaranteeing a desired level of financial return. the developed risk-averse optimization solution is verified in a simulated grove environment for Florida Valencia citrus. (C) 2019, IFAC (international Federation of Automatic control) Hosting by Elsevier Ltd. All rights reserved.
We propose a method in which multiple nozzles are arranged consecutively along a conveying line and an object can be relayed one after another. In this paper, as a most essential technology for such a conveyor, we foc...
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Path planning in a complex dynamic environment is one of the key subsystems in an autonomous vehicle. this paper presents an extension of Model Predictive Path Integral (MPPI) control method which is able to take movi...
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Ultra-wideband has been widely used for accurate wireless indoor localization systems due to accurate ranging measurement capability. there are several methods for ranging-based localization systems: iterative methods...
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A Newton-like algorithm and some line search strategies for solving discrete-time algebraic Riccati equations are discussed. Algorithmic and implementation details incorporated in the developed solver are described. S...
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Vehicle Platoon is the important technique for increasing the traffic capacity of road network safely. Our research group has been studying the velocity control model of the vehicle in the vehicle platoon. Previous st...
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ISBN:
(数字)9781728147406
ISBN:
(纸本)9781728147413
Vehicle Platoon is the important technique for increasing the traffic capacity of road network safely. Our research group has been studying the velocity control model of the vehicle in the vehicle platoon. Previous studies focus on the control of vehicle in the platoon in order to make the platoon stable. the aim of this study is to controlthe vehicle velocity when a vehicle platoon overtakes a frontal vehicle without colliding with a vehicle traveling in the other lane. the velocity control model is defined as the vehicle following model. the validity of the model is confirmed in the computer simulation and the experiment of LEGO MINDSTORM. the results show that comparison of simulation and experiment shows that the experiment results agree well withthe simulation results.
Autonomous robots such as legged robots and mobile manipulators imply new challenges in the design and the control of their actuators. In particular, it is desirable that the actuators are back-drivable, efficient (lo...
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A In-depth mining and analysis of traffic big data can help the government better manage urban traffic problems. However, most of the current transportation systems are based on big data prediction and control of tran...
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ISBN:
(数字)9781728185750
ISBN:
(纸本)9781728185767
A In-depth mining and analysis of traffic big data can help the government better manage urban traffic problems. However, most of the current transportation systems are based on big data prediction and control of transportation facilities, and lack of mechanism research integrating multi-humanities fields, which is not conducive to fundamentally solving urban transportation problems. Based on virtual geographic environments (VGEs), this paper proposes an urban traffic decision-making analysis (UTDA) platform, which supports the storage of multi-source heterogeneous data, the integration of multi-disciplinary models, the display of multi-form visual analysis results and the collaborative work among multiple users. then, a platform framework based on hybrid cloud was built and the collaboration mechanism within the platform was described in detail. then, taking Beijing's multi-source traffic big data as an example, a prototype system was implemented to verify the feasibility of the coordination mechanism and system framework, and the ability of the system to solve urban traffic problems. Finally, this paper discusses the impact of emerging technology on the development of urban traffic decision analysis platform.
Inductive lanes that can wirelessly transfer power to moving electric vehicles is a research theme of worldwide interest. the goal is to provide on-the-road recharging, thus extending vehicle’s autonomy and reducing ...
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Withthe continuous progress in robotics and application of such systems in evermore scenarios, safety and flexibility become increasingly important aspects and new designs should thus emphasize real-time capability a...
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