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opencc-by-sa-4.0Apr 2020View details →

Datasets and images of publication: Additive manufacturing for self-healing soft robots

This entry contains the images and data used for the publication: Additive manufacturing for self-healing soft robots (DOI: 10.1089/soro.2019.0081). The datasets are named after the image they refer to and are available under the CC-BYSA 4.0 International license.

Fig. 4 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa

Fig. 4. Hemilecanium cedrelus Hodgson, sp. n., female 2nd-instyar nymph. For lettering, see Figs 1 & 2, but also where 3rd = position of dorsal tubercles on pharate 3rd-instar nymph.

Fig. 3 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa

Fig. 3. Hemilecanium cedrelus Hodgson, sp. n., female 3rd- instar nymph. For lettering, see Figs 1 & 2, but where scar = position of scars left by dorsal tubercles of 2nd-instar nymph.

Fig. 2 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa

Fig. 2. Hemilecanium cedrelus Hodgson, sp. n., adult female. For lettering, see Fig. 1, but also where B = dorsal tubercle; E = preopercular pore; J = marginal seta and J 1 = marginal seta on anal lobe; K = stigmatic spines; P = tubular ducts; and scars = scars showing position of dorsal tubercles of 3rd-instar nymph.

Fig. 1 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa

Fig. 1. Sterculicoccus tafoensis Hodgson, sp. n., adult female. Where: A = dorsal setae; C = dorsal microductule; D = dorsal simple porte; F = dorsal view of anal plates; G = ventral view of anal plates; H = microridges on dorsal surface of anal plate; J = marginal seta; L = pregenital disc-pore; M = spiracular disc-pore; N = ventral microduct; P = larger ventral tubular duct; Q = smaller ventral tubular duct; R = antenna; S = claw, and T = ventral setae.

Fig. 5 in A new genus and two new species of soft scale insect (Sternorrhyncha, Coccoidea, Coccidae) from Africa

Fig. 5. Hemilecanium cedrelus Hodgson, sp. n., 1st-instar nymph (sex unknown). For lettering, see Figs 1 & 2, but where E = dorsal trilocular pore; L =dorsal protuberances, and H = tibio-tarsal articulation with microspines.

opencc-by-4.0Oct 2020View details →

Dataset for Supporting Information of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"

This dataset includes all results presented in the "Supporting information" of the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020 DOI: 10.5281/zenodo.4099806, DOI: <a href="https://doi.org/10.1002/admt.202000659">10.1002/admt.202000659</a> URL: https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1002%2Fadmt.202000659&file=admt202000659-sup-0001-SuppMat.pdf List of data in this dataset: Fig.S1-Theoretical Analysis.xlsx Fig.S5-LM Coils Folding-Exp and NA.xlsx Fig.S6-CoilFoldingDataARC.xlsx Fig.S7-Cyclic Bending-1000 cycles.xlsx Fig.S8-Cyclic Folding of FPC and LM Coils.xlsx All the data included in this dataset were collected and processed by Dr. Hongbo Wang. Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Jan 2020View details →

Dataset for paper entitled "Development of Fully Shielded Soft Inductive Tactile Sensors"

This dataset includes all the experimental and FE results presented in the IEEE ICECS 2019 paper "Development of Fully Shielded Soft Inductive Tactile Sensors" (DOI: 10.1109/ICECS46596.2019.8964922). URL of IEEE Xplore: https://ieeexplore.ieee.org/abstract/document/8964922 List of data in this dataset: Fig-2-FE modeling-FS-SITS.xlsx Fig-4-Exp_characterization-FS-SITS.xlsx Fig-5-Exp_Demo-FS-SITS.xlsx All the data included in this dataset were collected by Dr. Hongbo Wang. Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Oct 2020View details →

Supplementary Video: Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing

Supplementary Video for Adv. Mater. Technol., DOI: 10.1002/admt.202000659 Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing H. Wang,* M. Totaro, S. Veerapandian,M. Ilyas, M. Kong, U. Jeong, L. Beccai* This video (.MP4) includes the following supporting movies: Movie S1. FE modeling of planar coil folding and bending Movie S2. Numerical analysis of planar coil folding and bending Movie S3. Dynamic bending test of FPC coil Movie S4. Dynamic folding test of LM coil Movie S5. Vibration detection with a folded FPC coil Movie S6. Self-sensing origami Movie S7. Sensorized soft pneumatic actuator Movie S8. Wearable sensing Contact person: Dr. Hongbo Wang, ustcwhb@gmail.com

opencc-by-4.0Dec 2020View details →

Room Temperature Self-Healing in Soft Pneumatic Robotics: Autonomous Self-Healing in a Diels-Alder Polymer Network

Healable soft robotic systems have been developed by constructing flexible membranes out of Diels?Alder (DA) polymer networks. In these components, relatively large amounts of damage, on the centimeter scale, can be healed, provided that the temperature is increased to 80?90 ?C. This article presents a new DA polymer network that can heal at room temperature through a smart design of the network that increases the molecular mobility in the material. This new material is used to develop the first healable soft robotic prototype that can autonomously recover from severe, realistic damage. The soft pneumatic hand can recover from various types of injuries, including being cut completely in half, without the need for a temperature increase. After healing, the performance of the soft robotic prototype is recovered.

Integration of serial sensory information in haptic perception of softness

Redundant estimates of an environmental property derived simultaneously from different senses or cues are typically integrated according to the Maximum Likelihood Estimation model (MLE): Sensory estimates are weighted according to their reliabilities, maximizing the percept"s reliability. Mechanisms underlying the integration of sequentially derived estimates from one sense are less clear. Here we investigate the integration of seriallysampled redundant information in softness perception. We developed a method to manipulate haptically perceived softness of silicone rubber stimuli during bare finger exploration. We then manipulated softness estimates derived from single movement segments (indentations) in a multi-segmented exploration to assess their contributions to the overall percept. Participants explored two stimuli in sequence, using 2-5 indentations and reported which stimulus felt softer. Estimates of the first stimulus' softness contributed to the judgments similarly, whereas for the second stimulus estimates from later as compared to earlier indentations contributed less. In line with unequal weighting, the percept"s reliability increased with increasing exploration length less than predicted by the MLE model. This pattern of results is well explained by assuming that the representation of the first stimulus fades when the second stimulus is explored, which fits with a neurophysiological model of perceptual decisions (Deco et al., 2010). There are zip files for every experiment (1 & 2a-d), which contain all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session. In every experiment folder there is a list of trials which were excluded from the analyses. Variables of Experiment 1 are described in the file VARIABLE_CODES_EXP1.txt and the variables of Experiment 2a-d are described in the file VARIABLE_CODES_EXP2.txt.

The longer the first stimulus is explored in softness discrimination the longer it can be compared to the second one

In haptic perception information is often sampled serially over a certain interval of time. For example, a stimulus is repeatedly indented to repeatedly estimate its softness. Albeit such redundant estimates are equally reliable, they seem to contribute differently to the overall haptic percept in a comparison task. When comparing the softness of two silicon rubber stimuli, the within-stimulus weights of estimates of the second stimulus' softness decrease during the exploration. Here we test the hypothesis that such decrease of weights depends on the representation strength of the first stimulus’ softness. We varied the length of the first stimulus’ exploration. Participants subsequently explored two silicon rubber stimuli by indenting the first stimulus (comparison) 1 or 5 times and the second stimulus (standard) always 3 times. We assessed the weights of indentation-specific estimates from the second stimulus by manipulating perceived softness during single indentations. Our results show that the longer the first stimulus is explored the more estimates of the second stimulus' softness can be included in the comparison of the two stimuli. This suggests that the exploration length of the first stimulus determines the strength of its representation which influences the decrease of weights of indentation-specific estimates of the second stimulus. The Zip file contains all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session. A description of the variables is contained in the file VARIABLE_CODES.txt

Haptically perceived softness of deformable stimuli can be manipulated by applying external forces during the exploration

The perception of softness is the result of the integration of information provided by multiple cutaneous and kinesthetic signals. The relative contributions of these signals to the combined percept of softness was not yet addressed directly. We transmitted subtle external vertical forces to the exploring human finger during the exploration of deformable silicone rubber stimuli to dissociate the force estimates provided by the kinesthetic signals and the efference copy from cutaneous force estimates. This manipulation introduced a conflict between the cutaneous and the kinesthetic/efference copy information on softness. We measured Points of Subjective Equality (PSE) of manipulated references to stimuli which were explored without external forces. PSEs shifted as a linear function of external force in predicted directions - to higher compliances with pushing and to lower compliances with pulling force. We found relative contribution of kinesthetic/efference copy information to perceived softness being 23% for rather hard and 29% for rather soft stimuli. Our results suggest that an integration of the kinesthetic/efference copy information and cutaneous information with constant weights underlies softness perception. The kinesthetic/efference copy information seems to be slightly more important for the perception of rather soft stimuli. Metzger, A., & Drewing, K. (2015). Haptically perceived softness of deformable stimuli can be manipulated by applying external forces during the exploration. In World Haptics Conference (WHC), 2015 IEEE (pp. 75-81). IEEE. The Zip file contains all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session. A description of the variables is contained in the file VARIABLE_CODES.txt

Haptic aftereffect of softness

Past sensory experience can influence present perception. We studied the effect of adaptation in haptic softness perception. Participants compared two silicon rubber stimuli, a reference and a comparison stimulus, by indenting them simultaneously with the index fingers of their two hands and decided which one felt softer. In adaptation conditions the index finger that explored the reference stimulus had previously been adapted to another rubber stimulus. The adaptation stimulus was indented 5 times with a force of >15N, thus the two in-dex fingers had a different sensory past. In baseline conditions there was no previous adaptation. We measured the Points of Subjective Equality (PSEs) of one reference stimulus to a set of comparison stimuli. We used four different adaptation stimuli, one was harder, two were softer and one had approximately the same compliance as compared to the reference stimulus. PSEs shifted as a function of the compliance of the adaptation stimulus: the reference was per-ceived to be softer when the finger had been adapted to a harder stimulus and it was perceived to be harder after adaptation to a softer stimulus. We conclude that recent sensory experience causes a shift of haptically perceived softness away from the softness of the adaptation stimulus. The finding that perceived softness is susceptible to adaptation suggests that there might be neural chan-nels tuned to different softness values and softness is an independent primary perceptual quality. Metzger, A., & Drewing, K. (2016). Haptic Aftereffect of Softness. In F. Bello, H. Kajimoto & Y. Visell (Eds.), Haptics: Perception, Devices, Control, and Applications: 10th International Conference, EuroHaptics 2016, London, UK, July 4-7, 2016, Proceedings, Part I (pp. 23-32). Berlin Heidelberg: Springer. The Zip file contains all data relative to the publication. The data of each participant is contained in a separate folder. This folder contains a *.raw file for each session of the experiment and a "data" folder, which contains movement trajectories (*.trj files) and the staircase reversals for each condition (*.pse files) in separate folders for each session. A description of the variables is contained in the file VARIABLE_CODES.txt

opencc-by-4.0Nov 2023View details →

Quantifying local stiffness and forces in soft biological tissues using droplet optical microcavities

Dataset for publication Quantifying local stiffness and forces in soft biological tissues using droplet optical microcavities

FIGURES 324–335 in The soft-bodied goblin spiders of the new genus Noonops (Araneae, Oonopidae)

FIGURES 324–335. Noonops tonila, new species, males from Colima (324–329) and Michoacán (330–332) and female from Colima (333–335). 324, 330. Left embolus, prolateral view. 325, 331. Same, ventral view. 326, 332. Same, retrolateral view. 327. Left palp, prolateral view. 328. Same, retrolateral view. 329. Tip of endite, ventral view. 333, 334. Genitalia, ventral view. 335. Same, dorsal view.

FIGURES 263–274 in The soft-bodied goblin spiders of the new genus Noonops (Araneae, Oonopidae)

FIGURES 263–274. Noonops culiacan, new species, male (263–270) and female (271–274). 263. Left embolus, prolateral view. 264. Same, ventral view. 265. Same, retrolateral view. 266. Left palp, prolateral view. 267. Same, retrolateral view. 268. Mouthparts, ventral view. 269. Tip of endite, same. 270. Sternum, same. 271. Abdomen, same. 272, 273. Genitalia, ventral view. 274. Same, dorsal view.

FIGURES 252–262 in The soft-bodied goblin spiders of the new genus Noonops (Araneae, Oonopidae)

FIGURES 252–262. Noonops puebla, new species, male (252–259) and N. miraflores, new species, female (260–262). 252. Left embolus, prolateral view. 253. Same, ventral view. 254. Same, retrolateral view. 255. Left palp, prolateral view. 256. Same, ventral view. 257. Same, retrolateral view. 258. Mouthparts, ventral view. 259. Tip of endite, same. 260, 261. Genitalia, ventral view. 262. Same, dorsal view.

FIGURES 230–240 in The soft-bodied goblin spiders of the new genus Noonops (Araneae, Oonopidae)

FIGURES 230–240. Noonops mesa, new species, male (230–237) and female (238–240). 230, 233. Left embolus, prolateral view. 231, 234. Same, ventral view. 232, 235. Same, retrolateral view. 236. Mouthparts, ventral view. 237. Tip of endite, same. 238, 239. Genitalia, ventral view. 240. Same, dorsal view.

FIGURES 220–229 in The soft-bodied goblin spiders of the new genus Noonops (Araneae, Oonopidae)

FIGURES 220–229. Noonops willisi, new species, male (220–224) and N. tarantula, new species, female (225– 229). 220. Left embolus, prolateral view. 221. Same, ventral view (arrow to longitudinal embolar opening). 222. Same, retrolateral view. 223. Mouthparts, ventral view. 224. Tip of endites, same. 225, 228. Genitalia, ventral view. 226. Sternum, ventral view. 227. Abdomen, ventral view. 229. Genitalia, dorsal view.