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>The research question I would pose is, why is robotic manipulation in unstructured spaces so hard? Machine learning has not helped much there. Yet it's a funda
by zone411 6y ago
>The research question I would pose is, why is robotic manipulation in unstructured spaces so hard? Machine learning has not helped much there. Yet it's a fundamental animal skill. We're missing something that leads to success in that area. Whatever that is, it may be the next thing after machine learning via neural nets.
One of the reasons is simply that human hands are densely covered with mechanoreceptors that transmit a lot of information and are better than sensors for robotic hands.
- nradov 6y agoRight, try doing any sort of fine manipulation while wearing thick rubber gloves and you'll appreciate how hard it is to design robotic hands.
- Animats 6y agoI had a way to avoid that problem. I built a robot end effector that has a 6-DOF force sensor and an end wrench, not a socket wrench. Put it on a low-end $400 robot arm. Got this to talk to ROS. The idea was to have it detect, by feel alone, when the wrench had engaged a bolt head properly. Since all the feel is coming through the wrench part, 6 DOF is enough. Turned out that a low-end robot arm driven by R/C servos is not smooth enough for this, and not powerful enough to hold up the end effector. Might be worth trying with a better robot arm and stiffer 6 DOF force sensor.