Soft grippers have experienced a growing interest due to their considerable flexibility that allows them to grasp a variety of objects, in contrast to hard grippers, which are designed for a specific item. One of their most remarkable characteristics is the ability to manipulate soft objects without damaging them. This, together with their wide range of applications and the use of novels materials and technologies, renders them a very robust device. In this paper, we present a comparison of different technologies for soft robotics grippers. We fabricated and tested four grippers. Two use pneumatic actuation (the gripper with chambered fingers and the jamming gripper), while the other two employ electromechanical actuation (the tendon driver gripper and the gripper with passive structure). For the experiments, a group of twelve objects with different mechanical and geometrical properties have been selected. Furthermore, we analyzed the effect of the environmental conditions on the grippers, by testing each object in three different environments: normal, humid, and dusty. The aim of this comparative study is to show the different performances of different grippers tested under the same conditions. Our findings indicate that we can highlight that the mechanical gripper with a passive structure shows greater robustness.
This work presents an analysis of immersive realities and natural language applied to the teleoperation of hyper-redundant robots. Such devices have a large number of degrees of freedom, so they often exhibit complex configurations frustrating their spatial understanding. This work aims to contrast two hypotheses; first, if immersive interfaces enhance the telepresence and efficiency against conventional ones; and second, if natural language reduces workload and improves performance against other conventional tools. A total of 2 interfaces and 6 interaction tools have been tested by 50 people. As a result, immersive interfaces were more efficient, improved situational awareness and visual feedback, and were chosen by 94% of participants against conventional ones. On the other hand, participants performed better using natural language than conventional tools despite having less previous experience with the first ones. Additionally, according to 52% of the population, the preferred interaction tool was a mixed strategy that combined voice recognition and hand gestures. Therefore, it is concluded that immersive realities and natural language should play a very important role in the near future of hyper-redundant robots and their teleoperation.
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