| K-TEAM (1999). Khepera User Manual. K-TEAM S.A., Pr everenges, Switzerland (http://www.k-team.com). |
...., x t # D x t is zero for all x, and therefore convergence(under the conditions stated in the last section) is guaranteed. The corresponding algorithm would be t 1 = # t # t #x; a t ##r t # V t #y t # ,Q t #x; a t # #x , x t # D x t # (4) 4. Experimental Results We used a Khepera robot [8] as the platform for our experiments. The learning goal is to control the robot for a combined obstacle avoidance and target approximation task. 4.1. Methodology Figure 1 shows the setup for the experiments. Figure 1: Setup for the experiments on robot learning. The Khepera robot is controlled ....
....on robot learning. The Khepera robot is controlled by low level commands sent via the computer s serial port (Pentium 586, 12Mb RAM) These commands are translations of high level instructions for wheel speed selection or position control, whose syntax is defined in the Khepera simulator [8]. Sensor readings for obstacle detection are carried out similarly. The robot can execute three actions: move forward a fixed distance (corresponding to the setting of a position controller based on dead reckoning) turn left ninety degrees or turn right ninety degrees. The turning actions are set ....
K-Team S.A., Ch. de Vuasset, CP 111, 1028 Preverenges, Switzerland. Khepera User Manual, May 1998.
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K-TEAM (1999). Khepera User Manual. K-TEAM S.A., Pr everenges, Switzerland (http://www.k-team.com).
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K-Team SA (1999b). Khepera user manual. Lausanne, Switzerland.
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K-Team SA (1999b). Khepera User Manual. Lausanne, Switzerland.
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K-team, Khepera user manual, version 5.02 ed., 1999, http://www.k-team.com/download/khepera/documentation/ KheperaUserManual.pdf.
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K-Team (1996). Khepera User Manual. Lausanne: EPFL.
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