2022 IEEE 5th International Conference on Soft Robotics (RoboSoft) 2022
DOI: 10.1109/robosoft54090.2022.9762174
|View full text |Cite
|
Sign up to set email alerts
|

WISARD: Weight Informing Soft Artificial Robotic Dermis

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3
3

Relationship

1
5

Authors

Journals

citations
Cited by 7 publications
(8 citation statements)
references
References 26 publications
0
8
0
Order By: Relevance
“…Recently, several HRI studies explored the creation of novel robot expressions using silicone-based materials [11,15,18,21,28,29]. Hu and Hoffman [15] developed a pneumatically actuated skin for robots expressing emotions by changing the robot's skin (i.e., goosebumps and spikes), which can serve as both visual and haptic cues.…”
Section: Use Of Soft Materials For Robot Designmentioning
confidence: 99%
See 3 more Smart Citations
“…Recently, several HRI studies explored the creation of novel robot expressions using silicone-based materials [11,15,18,21,28,29]. Hu and Hoffman [15] developed a pneumatically actuated skin for robots expressing emotions by changing the robot's skin (i.e., goosebumps and spikes), which can serve as both visual and haptic cues.…”
Section: Use Of Soft Materials For Robot Designmentioning
confidence: 99%
“…Klausen et al [18] designed a non-anthropomorphic robot using silicone-based material that communicates emotions through breathing patterns. Larsen et al [21] implemented a dermis for a robot arm inflating to provide weight information.…”
Section: Use Of Soft Materials For Robot Designmentioning
confidence: 99%
See 2 more Smart Citations
“…The main body of each segment extends from the base at an angle of 10 degrees. The length of the segment is scaled proportionally based on the morphology of the real insect tarsus 6 , such that the lengths of all segments (from the base to the tip) are 75, 35,35,35, and 55 mm, respectively (Fig. 7).…”
Section: B Grasping Object Size Analysismentioning
confidence: 99%