{
  "$type": "site.standard.document",
  "bskyPostRef": {
    "cid": "bafyreicbdqjm2vemxewwcwjkyb2xgzeenu2zctbruvuygdpd6aihibihnq",
    "uri": "at://did:plc:mxzzpugn7bprjjrszwkbez3u/app.bsky.feed.post/3mg6itl7xsis2"
  },
  "coverImage": {
    "$type": "blob",
    "ref": {
      "$link": "bafkreigxa5rznklcbmyvkiypp6hydgw44rybznftw6x5cddsoykcetv5iq"
    },
    "mimeType": "image/jpeg",
    "size": 703719
  },
  "path": "/news/2026-03-simulated-cats-elephants-based-memory.html",
  "publishedAt": "2026-03-03T13:40:04.000Z",
  "site": "https://techxplore.com",
  "tags": [
    "Robotics"
  ],
  "textContent": "A new approach to simulating biologically inspired robotics can cut the design and training of tactile robots from eighteen months to two weeks, new research suggests. Published in Cyborg & Bionic Systems, the study applies lessons from some of nature's most famous \"sensors,\" including cats' paws and elephant trunks, to help create artificial sensors with a human-like sense of touch better and faster than ever before. Combined with recent work in Nature Communications on training these tactile sensors in a way that mirrors human tactile memory, the team led by King's College London now believe they can dramatically slash the time and cost of producing next-generation robots.",
  "title": "Simulated cats and elephants with touch-based memory help usher in new age of robotics"
}