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Titlebook: KI 2016: Advances in Artificial Intelligence; 39th Annual German C Gerhard Friedrich,Malte Helmert,Franz Wotawa Conference proceedings 2016

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41#
發(fā)表于 2025-3-28 15:59:25 | 只看該作者
A Neural Field Approach to Obstacle Avoidance biologically inspired model of motor control with neural fields can be augmented with additional components such that it is able to solve a basic robotics task, that of obstacle avoidance. While obstacle avoidance is a well researched area, the focus here is on the extensibility of a biologically i
42#
發(fā)表于 2025-3-28 22:26:51 | 只看該作者
Influence of ASP Language Constructs on the Performance of State-of-the-Art Solverssyntactically different, but semantically equivalent ways. However, these equivalent programs may not perform equally well. This is because performance depends on the underlying solver implementations that may treat different language constructs differently. As performance is very important for the
43#
發(fā)表于 2025-3-29 00:46:32 | 只看該作者
A Robotic Home Assistant with Memory Aid Functionalityalone system integrates state-of-the-art approaches in a novel manner to achieve a seamless and intuitive human-robot interaction. IRMA directs its gaze toward the speaker and understands the person’s verbal instructions independent of specific grammatical constructions. It determines the positions
44#
發(fā)表于 2025-3-29 03:40:40 | 只看該作者
45#
發(fā)表于 2025-3-29 08:23:22 | 只看該作者
Solving Negotiation Problems Against Unknown Opponents with Wisdom of Crowdsractical cases would be unwilling to reveal their true preferences for exploitation reasons. Existing approaches tend to resolve this issue by learning opponents through their observations during negotiation. While useful, it is hard because of the indirect way the target function can be observed as
46#
發(fā)表于 2025-3-29 13:55:18 | 只看該作者
47#
發(fā)表于 2025-3-29 15:40:50 | 只看該作者
48#
發(fā)表于 2025-3-29 22:32:38 | 只看該作者
Learning Event Time Series for the Automated Quality Control of Videosents will be extracted from video files and on the other hand it will be manually annotated. By using methods of supervised machine learning the two sets of events will be mapped onto each other. After that, per time slot and requested event type, a binary classification will be applied. Thus aspect
49#
發(fā)表于 2025-3-30 00:12:28 | 只看該作者
Solving the Physical Vehicle Routing Problem for Improved Multi-robot Freespace Navigationibe a multiagent simulation solution to the ., which extends the . —a recent benchmark used in robot motion planning research— by considering more than one concurrent vehicle..For the interaction of vehicles, we compute the collision of physical bodies and then apply the impact resulting from the el
50#
發(fā)表于 2025-3-30 04:32:57 | 只看該作者
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