Achim, S., Stone, P., and Veloso, M.: Building a Dedicated Robotic Soccer System. Proceedings of IROS-96 Workshop on RoboCup, Hiroaki Kitano (ed.), (1996) 41-48  Home/Search   Document Details and Download   Summary   Related Articles   Check

....the simulator function is very difficult. Conse quently, we have not yet completed the simulator programs in our system. Cost Performance: Our robot has a simple structure that does not cost much to build. 2. 2 System Overview We had been given much information on the robot system of CMU[3] when we started to design our system in 1997. However, two points are different between the CMU system and our system. First, we used UHF radio wave communication while the CMU system used infrared communication. Moreover, mutual data transmission between a robot and Off board system ....

....This client server structure enables control of robots by a multi agent system, where remote brains are distributed in different computers from the host computer. Accordingly, such a distributed system reduces the load of the host computer. The CMU team also used such a distributed system[3]. 4.2 Player Commands Remote brains receive visual information from a global view camera and auditory information from other remote brains. A remote brain makes a decision about what to do next by considering the two kinds of information and then sends player commands to the com munication ....

Achim, S., Stone, P., and Veloso, M.: Building a Dedicated Robotic Soccer System. Proceedings of IROS-96 Workshop on RoboCup, Hiroaki Kitano (ed.), (1996) 41-48

....to the goal. Attackers pass or shoot based on the maximum of the values returned for their different potential receivers and for their own shots. 6 Conclusion The engineering present within this system represents a significant improvement over our previous implementation in many respects [ Achim et al. 1996 ] The vision processing is at least 5 times faster; the robots move faster and more smoothly; and the behaviors are more complex and effective. Although several 3 robot teams have been implemented in the past [ Stone et al. 1996 ] the system described in the paper is among the first ....

Sorin Achim, Peter Stone, and Manuela Veloso. Building a dedicated robotic soccer system. In Proceedings of the IROS-96 Workshop on RoboCup, November 1996.

....robotic systems. The first robotic soccer system was the Dynamo system [73] Sahota et al. built a 1 vs. 1 version of the game. Asada et al. have used vision based RL with their soccer playing robots [74] Achim et al. discuss some of the robotic issues involved in building robotic soccer players [75]. Some robotic issues can only be studied in the real world instantiation, but there are also many issues that can be studied in simulation. A particularly good simulator for this purpose is the soccerserver developed by Noda [76] and pictured in Figure 13. This simulator is realistic in many ....

S. Achim, P. Stone, and M. Veloso, "Building a dedicated robotic soccer system," in Proceedings of the IROS-96 Workshop on RoboCup, November 1996.

....We developed the physical robots as actuators, a vision processing algorithm to perceive the world, and strategic reasoning for individual and collaborative behaviors. The team is clearly not the ultimate version of our multiple autonomous agents. We have developed previous versions of the team [1], and, as presented in the discussion and conclusion section, improving the team further is part of our on going research. However, we believe that CMUnited 97 represents a major advance in our work and has several interesting contributions which we present in this paper: ffl Reliable perception ....

Sorin Achim, Peter Stone, and Manuela Veloso. Building a dedicated robotic soccer system. In Proceedings of the IROS-96 Workshop on RoboCup, pages 41--48, Osaka, Japan, November 1996.

....for a specific task, ML is needed in order to avoid the cumbersome task of hard wiring the robots for every new situation and also for expanding into the more complex multiagent environment. Modeled closely after the Dynamo system, the authors have also developed a real world robotic soccer system (Achim, Stone, Veloso, 1996). The main differences from the Dynamo system are that the robots are much smaller, there are five on each team, and they use Infra red communication rather than radio frequency. The Robotic Soccer system being developed in Asada s lab is very different from both the Dynamo system and from our own ....

....previous work by learning a more difficult behavior: shooting a moving ball into a goal. The behavior is specifically designed to be useful for more complex multiagent behaviors as described in Section 5. 3. 2 The Simulator Although we are pursuing research directions with our real robotic system (Achim et al. 1996), the simulator facilitates extensive training and testing of learning methods. All of the research reported in this article was conducted in simulation. Both the simulator and the real world system are based closely on systems designed by the Laboratory for Computational Intelligence at the ....

Achim, S., Stone, P., &Veloso, M. (1996). Building a dedicated robotic soccer system. In Working Notes of the IROS-96 Workshop on RoboCup.

....We developed the physical robots as actuators, a vision processing algorithm to perceive the world, and strategic reasoning for individual and collaborative behaviors. The team is clearly not a perfect version of our multiple autonomous agents. We have developed previous versions of the team [1], and, as presented in the discussion and conclusion section, we are currently (and will continue) improving the team further. However, we believe that CMUnited 97 represents a major advance in our work and has several interesting contributions which we present in this paper: ffl Reliable ....

Sorin Achim, Peter Stone, and Manuela Veloso. Building a dedicated robotic soccer system. In Proceedings of the IROS-96 Workshop on RoboCup, November 1996.

....player pass, aim One to many player pass to teamplayer Action selection pass or dribble Team collaboration strategic positioning (b) Figure 2: a) The functional layers of the architecture, and (b) strategic level decomposition. The complete hardware details of the physical agents can be found in (Achim, Stone, Veloso 1996). We now briefly introduce our work on learning behaviors towards collaborative strategies. Layered Behavioral Learning We have been applying machine learning techniques to acquire strategic knowledge initially using a simulator based on the Dynamo system and currently the Soccer Server. Further ....

Achim, S.; Stone, P.; and Veloso, M. 1996. Building a dedicated robotic soccer system. In Proceedings of the IROS-96 Workshop on RoboCup.

....robotic systems. The first robotic soccer system was the Dynamo system [70] Sahota et al. built a 1 vs. 1 version of the game. Asada et al. have used vision based RL with their soccer playing robots [5] Veloso et al. discuss some of the robotic issues involved in building robotic soccer players [3, 89]. Some robotic issues can only be studied in the real world instantiation, but there are also many issues that can be studied in simulation. A particularly good simulator for this purpose is the soccerserver developed by Noda [56] and pictured in Figure 12. This simulator is realistic in many ....

Sorin Achim, Peter Stone, and Manuela Veloso. Building a dedicated robotic soccer system. In Proceedings of the IROS-96 Workshop on RoboCup, November 1996.

No context found.

Sorin Achim, Peter Stone and Manuela Veloso. Building a Dedicated Robotic Soccer System. International Conference on Intelligent Robots and Systems 1996 (IROS'96) Workshop on RoboCup.

No context found.

Sorin Achim, Peter Stone and Manuela Veloso. Building a Dedicated Robotic Soccer System. International Conference on Intelligent Robots and Systems 1996 (IROS'96) Workshop on RoboCup.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC