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To test this method, our robot interacted with 100 different objects grouped according to 20 different object categories.
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Using our method, the robot can not reach an edge of the ZMP's support polygon with a fast whole-body movement.
In the next section, we outline our proposed method for robot programming.
Experimental results showed that using our control method, the robot is able to adapt its spine motions in real-time to allow stable walking.
Our method allows the robot to precisely navigate on the path by using DCS.
By applying our method to this robot and conducting preliminary experiments, we verify its validity.
These results demonstrate that our method allows a robot to walk carefully without slipping or stumbling, even when its foothold is lost.
There is no need for special modification of our method for actual robots, and we have already applied it to simple pushing tasks by an industrial manipulator successfully [20,22].
In contrast, our proposed method allows the robot to stably navigate in dynamic outdoor environments even if LIDAR readings are used.
In this paper, we study a new method for robot programming: view-based teaching/playback.
Ogawa et al. [9] proposed a landmark selection method for robot navigation with a single camera.
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