Soft robot bipedal gait
Main s1512783 channel | 89 views | 2019-04-06
Two-legged gait developed by a model-based reinforcement learning controller after ~30 min of training.
Two-legged gait developed by a model-based reinforcement learning controller after ~30 min of training.
Undulating gait pattern developed by a model-based reinforcement learning algorithm after 30-50 minutes of training.
Simple PWM system for controlling pressure, here used to 'break in' a silicone baloon. The input pressure is 1 bar. First I set the pressure to 1.8 bar to expand the baloon as much as possible, then I immediately decrease it to 0.5 bar, and ...
Using pyqtgraph to plot live data from position sensors, IMU and position tracking of a soft robot.
At the end of 2016, UTC had a leap second inserted at 23:59:60. This short video shows what my iOS and macOS clocks did during that transition, shown here at my local time (UTC+11). As you can see, the iOS clock ignored it completely and kept swee...
Make an outgoing AX.25 connection to a BBS, and handle incoming connections with a custom program. Features the tools axcall, ax25_call, axctl, ax25d, netstat and inetd.
Travail réalisé par les élèves de 1èreL LVA de Madame DUMAS (Lycée Colbert, 2019)
Travail des élèves de 1èreL LVA de Madame DUMAS (Lycée Colbert, 2019)
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