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Titlebook: Intelligent Autonomous Systems 13; Proceedings of the 1 Emanuele Menegatti,Nathan Michael,Hiroaki Yamaguch Conference proceedings 2016 Spri

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21#
發(fā)表于 2025-3-25 04:21:38 | 只看該作者
22#
發(fā)表于 2025-3-25 10:16:28 | 只看該作者
Conference proceedings 2016 maturity and robustness. The contributions have been selected through a rigorous peer-review process and contain many exciting and visionary ideas that will further galvanize the research community, spurring novel research directions. The series of biennial IAS conferences commenced in 1986 and represents a premiere event in robotics..
23#
發(fā)表于 2025-3-25 15:13:56 | 只看該作者
Generation of Search Behavior by a Modification of Q-MDP Value Methodessentially indefinite. In Q-MDP value method, an action in every time step is chosen based on a calculation of expectation values with a probability distribution, which is the output of a probabilistic state estimator. The modified method uses a weighting function with the probability distribution
24#
發(fā)表于 2025-3-25 17:37:34 | 只看該作者
A Comparison of 3D Sensors for Wheeled Mobile Robotsy and accuracy have been done for different sensors. However, all these studies have used different settings for the different sensors. For this reason we compare five 3D sensors, including the structured light sensors Microsoft Kinect and ASUS Xtion Pro Live, and the time of flight sensors Fotonic
25#
發(fā)表于 2025-3-25 19:59:35 | 只看該作者
Adaptive Model-Based Monitoring for Robotss with the limited resources of a robot platform. Therefore, robot monitoring faces high efficiency requirements. This defines a trade-off between comprehensive observation and monitoring resource overhead. In this paper, we propose an adaptive, model-based monitoring approach that addresses this tr
26#
發(fā)表于 2025-3-26 01:03:14 | 只看該作者
Self-learning RRT* Algorithm for Mobile Robot Motion Planning in Complex Environments some cases, due to relying on uniform random sampling like other RRT-based algorithms without taking the environment information and prior knowledge into account, which particularly leads to many sampling failures or generation of useless nodes in complex environments. In this paper, we pro
27#
發(fā)表于 2025-3-26 05:41:47 | 只看該作者
28#
發(fā)表于 2025-3-26 08:28:49 | 只看該作者
29#
發(fā)表于 2025-3-26 16:29:08 | 只看該作者
An Application of Laser-Based Autonomous Navigation for Data-Center Monitoringto efficiently perform common tasks. In this paper, we report some preliminary results on the study and development of a robotic system, in which a mobile robot equipped with a laser range sensor and an Inertial Measurement Unit (IMU) is able to autonomously navigate in a data-center room for accura
30#
發(fā)表于 2025-3-26 18:34:07 | 只看該作者
Semantic Topological Map-Based Smart Wheelchair Navigation System for Low Throughput Interfaceough the low throughput interface, the user can only give a very limited number of command types with a low frequency, meaning that a low throughput interface requests the user to do more steps, taking a longer time, just to select the desired goal. In order to decrease the number of operations requ
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