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 | 1 | initial version |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognise the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
| | 2 | No.2 Revision |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognise recognize the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
| | 3 | No.3 Revision |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognize the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
| | 4 | No.4 Revision |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognize the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
| | 5 | No.5 Revision |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognize the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
| | 6 | No.6 Revision |
We tried re-mounting it on top like this.
This position was suitable for us since we had to do both human recognition and navigation. Human gesture recognition was a bit difficult in the original position position, since the plates blocked a part of the view. In this position, the problem with navigation was that it was unable to recognize the obstacles that lay below it (say, half the height of the robot) during mapping and navigation. But it was not a major issue as the AMCL was robust to overcome it. It was successful for us!
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