Self-supervised learning of depth-based navigation affordances from haptic cues
This paper presents a ground vehicle capable of exploiting haptic cues to learn navigation affordances from depth cues. A simple pan-tilt telescopic antenna and a Kinect sensor, both fitted to the robot’s body frame, provide the required haptic and depth sensory feedback, respectively. With the ante...
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| Other Authors: | , |
| Format: | conferenceObject |
| Language: | eng |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10071/25845 |
| Country: | Portugal |
| Oai: | oai:repositorio.iscte-iul.pt:10071/25845 |