Mechanisms for Detection and Repair of Puncture Damage in Soft Robotics [pdf] (smr.unl.edu)

Screenshot of smr.unl.edu: Mechanisms for Detection and Repair of Puncture Damage in Soft Robotics [pdf]

First screen, captured 1 year ago.

Looks similar

Screenshot of lite.berkeley-humanoid.org: Berkeley Humanoid Lite – Open-source robot

Berkeley Humanoid Lite – Open-source robot (lite.berkeley-humanoid.org)

253 points by ratsbane 1 year ago | 33 comments

Screenshot of science.org: Ultralight, strong, and self-reprogrammable mechanical metamaterials

Ultralight, strong, and self-reprogrammable mechanical metamaterials (science.org)

98 points by PaulHoule 2 years ago | 21 comments

Screenshot of any-skin.github.io: Show HN: Put this touch sensor on a robot and learn super precise tasks

Show HN: Put this touch sensor on a robot and learn super precise tasks (any-skin.github.io)

365 points by raunaqmb 2 years ago | 62 comments

Project page for AnySkin, a plug-and-play magnetic skin touch sensor for robots from NYU, CMU, Columbia and Meta, with paper, CAD files and design tool links.

robotics tactile-sensing anyskin robot-learning

Screenshot of arxiv.org: Reverse Engineering Self-Supervised Learning

Reverse Engineering Self-Supervised Learning (arxiv.org)

72 points by headalgorithm 3 years ago | 12 comments

Screenshot of arxiv.org: Self-Adapting Language Models

Self-Adapting Language Models (arxiv.org)

210 points by archon1410 1 year ago | 61 comments

Screenshot of arxiv.org: Paper2Agent: Stanford Reimagining Research Papers as Interactive AI Agents

Paper2Agent: Stanford Reimagining Research Papers as Interactive AI Agents (arxiv.org)

134 points by Gaishan 1 year ago | 34 comments

Looks similar

Berkeley Humanoid Lite – Open-source robot(lite.berkeley-humanoid.org)

Ultralight, strong, and self-reprogrammable mechanical metamaterials(science.org)

Show HN: Put this touch sensor on a robot and learn super precise tasks(any-skin.github.io)

Reverse Engineering Self-Supervised Learning(arxiv.org)

Self-Adapting Language Models(arxiv.org)

Paper2Agent: Stanford Reimagining Research Papers as Interactive AI Agents(arxiv.org)