Controlling Soft Robotic Arms Using Continual Learning
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DOI: 10.1109/lra.2022.3157369
Abstract: Learning-based modeling and control of soft robots is advantageous due to neural network’s ability to capture complex dynamical effects with low computational cost. Continual Learning techniques add further value to these methods by allowing networks… read more here.
Keywords: robotic arms; soft robotic; continual learning; soft robot ... See more keywords
Controlling Soft Fluidic Actuators Using Soft DEA-Based Valves
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3187268
Abstract: Fluidic soft actuators have been widely used for applications where compliance is desirable – such as in delicate robotic manipulation. As their operation is based on pressurization, fluidic actuators typically rely on bulky, rigid pumps,… read more here.
Keywords: using soft; system; controlling soft; fluidic actuators ... See more keywords