Mechanical Sensing in Embodied Agents
| dc.creator | Preti, Matteo Lo | |
| dc.creator | Thuruthel, Thomas George | |
| dc.creator | Gilday, Kieran | |
| dc.creator | Beccai, Lucia | |
| dc.creator | Iida, Fumiya | |
| dc.date | 2022-10-10T19:00:23Z | |
| dc.date | 2022-10-10T19:00:23Z | |
| dc.date | 2022-10-01 | |
| dc.date | 2022-10-10T19:00:23Z | |
| dc.date.accessioned | 2026-08-03T03:54:05Z | |
| dc.description | Sensors enable autonomous systems to obtain information about their internal states and the environment for guiding their actions. It is as essential for these sensors to reject disturbances as to gather the correct information. There are numerous trade-offs and considerations in designing these sensory systems. For instance, natural agents evolved a vast diversity of highly optimized sensory organs to perform their tasks. This work focuses on how these sensory systems estimate mechanical stimuli. We look at some of the strategies and design principles found in nature to understand fundamental trade-offs and design considerations when acquiring and processing mechanical information. | |
| dc.format | text/xml | |
| dc.format | application/pdf | |
| dc.identifier | IOP Conference Series: Materials Science and Engineering, volume 1261, issue 1, article-number 012013 | |
| dc.identifier | 1757-8981 | |
| dc.identifier | mse_1261_1_012013 | |
| dc.identifier | m12611013 | |
| dc.identifier | https://www.repository.cam.ac.uk/handle/1810/341879 | |
| dc.identifier | 10.17863/CAM.89303 | |
| dc.identifier | 1757-899X | |
| dc.identifier.uri | https://repo.dare.co.zw/handle/123456789/182340 | |
| dc.language | en | |
| dc.language | eng | |
| dc.publisher | IOP Publishing | |
| dc.publisher | https://doi.org/10.1088/1757-899x/1261/1/012013 | |
| dc.subject | 4605 Data Management and Data Science | |
| dc.subject | 46 Information and Computing Sciences | |
| dc.subject | Bioengineering | |
| dc.title | Mechanical Sensing in Embodied Agents | |
| dc.type | Article |