Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware — mentioned by NalNezumi

Sun, 17 Mar 2024 13:01:04 GMT

It feels like this issue have been (at least in academia) known for a long time. When I try to explain the problem I usually use the slides from ICML 2018 talk by Yisong Yue[1]. And there's already (hard to use in practice) methods such as DAgger to correct for that accumulating error. Out of the more recent advancements, I think ACT[2]s approach seems like the more interesting direction. Similar to MPC that predict(calculate) not only the next action but predict sequences of actions, discard all the actions except for one, at each loop. Mapping the input to only the current action seems to…

Paper and discussion history. A mention is not an endorsement.

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware — HN submission

Thu, 04 Jan 2024 16:34:57 GMT

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

1 point; 0 discussion replies on HN. Paper and source history. A submission is not an endorsement.

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware · HackerPapers discussions

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware — mentioned by NalNezumi

Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware — HN submission