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Titlebook: RoboCup 2015: Robot World Cup XIX; Luis Almeida,Jianmin Ji,Sean Luke Conference proceedings 2015 Springer International Publishing Switzer

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樓主: FLAW
21#
發(fā)表于 2025-3-25 06:20:58 | 只看該作者
Team Homer@UniKoblenz — Approaches and Contributions to the RoboCup@Home Competitiontions. In particular, we highlight the different abstraction layers of our software architecture that allows for rapid application development based on the ROS actionlib. This architectural design enables us to focus on the development of new algorithms and approaches and significantly helped us in
22#
發(fā)表于 2025-3-25 09:01:45 | 只看該作者
CMDragons 2015: Coordinated Offense and Defense of the SSL Championse core coordination algorithms in offense and defense that enabled such successful performance. We first describe the coordinated plays layer that distributes the team’s robots into offensive and defensive subteams. We then describe the offense and defense coordination algorithms to control these su
23#
發(fā)表于 2025-3-25 12:51:59 | 只看該作者
UT Austin Villa: RoboCup 2015 3D Simulation League Competition and Technical Challenges Champions. During the course of the competition the team scored 87 goals and conceded only 1. Additionally the team won the RoboCup 3D Simulation League technical challenge by winning each of a series of three league challenges: drop-in player, kick accuracy, and free challenge. This paper describes the chan
24#
發(fā)表于 2025-3-25 15:59:23 | 只看該作者
RoboCup 2015 Humanoid AdultSize League Winnercts and navigating soft terrain. These significant changes highlight the need for applying general purpose humanoid robotics approaches that can handle abrupt environment modifications, and we utilize the general purpose THOR (Tactical Hazardous Operations Robot) series of robot from the recent DARP
25#
發(fā)表于 2025-3-25 21:29:25 | 只看該作者
26#
發(fā)表于 2025-3-26 00:37:19 | 只看該作者
CIT Brains KidSize Robot: RoboCup 2015 KidSize League Winner humanoid league were changed dramatically. The ball was changed from a monochromatic orange ball to a real soccer ball. Furthermore, the goal color was also changed from yellow to white. Therefore, the soccer robots in the humanoid league were not able to detect the ball based on just colors. We de
27#
發(fā)表于 2025-3-26 07:06:42 | 只看該作者
The Goalkeeper Strategy of RoboCup MSL Based on Dual Image Source two image sources. The goalkeeper uses the Omni-vision system to adjust heading orientation of the Kinect sensor for capturing both depth and RGB images of the ball. The depth information is used to detect the spatial position of the ball and the RGB image ensures the validity of the recognition. O
28#
發(fā)表于 2025-3-26 12:24:55 | 只看該作者
29#
發(fā)表于 2025-3-26 16:20:01 | 只看該作者
Interactive Learning of Continuous Actions from Corrective Advice Communicated by Humansframeworks in the reported experiments. In addition, results show that COACH is able to transfer successfully human knowledge to agents with continuous actions, being a complementary approach to TAMER, which is appropriate for teaching in discrete action domains.
30#
發(fā)表于 2025-3-26 20:35:00 | 只看該作者
CIT Brains KidSize Robot: RoboCup 2015 KidSize League Winnerile length of the artificial grass in RoboCup2015 was long, our robots were not able to walk robustly when we started to use the field. We also explain how we solved the problem. We also discuss how we succeeded in the technical challenges.
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