Soft robot perception using embedded soft sensors and recurrent ...

Drawing inspiration from the human perceptive system, we created a synthetic analog. Our synthetic system builds models using a redundant and ...

Soft robot perception using embedded soft sensors and ... - PubMed

Soft robot perception using embedded soft sensors and recurrent neural networks. Sci Robot. 2019 Jan 30;4(26):eaav1488. doi: 10.1126/scirobotics.aav1488.

This approach is able to model the kinematics of a soft continuum actuator in real time while being robust to sensor nonlinearities and drift and enables ...

Soft robot perception using embedded soft sensors and recurrent ...

Soft robot perception using embedded soft sensors and recurrent neural networks. Thomas George Thuruthel, Benjamin Shih, Cecilia Laschi, Michael T Tolley.

Soft robot perception using embedded soft sensors and recurrent ...

Thuruthel T. G.*, Shih B.*, Laschi C., Tolley M. T., (2019) "Soft robot perception using embedded soft sensors and recurrent neural ...

Soft robot perception using embedded soft sensors and recurrent ...

Drawing inspiration from the human perceptive system, we created a synthetic analog. Our synthetic system builds models using a redundant and unstructured ...

Soft robot perception using embedded soft sensors and recurrent ...

However, the solid-state sensors traditionally used in robotics are unable to capture the high-dimensional deformations of soft systems. Embedded soft resistive ...

GitHub - UCSDBioinspired/thuruthel2019soft: Archival repository for

Soft robot perception using embedded soft sensors and recurrent neural networks. code and data for: Thuruthel T. G.*, Shih B.*, Laschi C., Tolley M. T. (2019) ...

Soft robot perception using embedded soft sensors and recurrent ...

Soft robot perception using embedded soft sensors and recurrent neural networks. Thomas George Thuruthel. 13. ,. Benjamin Shih. 9. , ..., Michael T. Tolley. 33.

Soft robot perception using embedded soft sensors and recurrent ...

An international team of researchers has developed a perception system for soft robots inspired by the way humans process information about ...

Soft robot perception using embedded soft sensors ... - Read Wonders

Read Wonders: This approach is able to model the kinematics of a soft continuum actuator in real time while being robust to sensor nonlinearities and drift ...

Sensing in Soft Robotics | ACS Nano - ACS Publications

; Tolley, M. T. Soft robot perception using embedded soft sensors and recurrent neural networks. Sci. Robot. 2019, 4, eaav1488 DOI: 10.1126 ...

Research - Bioinspired Robotics and Design Lab

Soft robot perception using embedded soft sensors and recurrent neural networks. Recent work has begun to explore the design of biologically inspired soft ...

Engineers build a soft robotics perception system inspired by humans

Soft robot perception using embedded soft sensors and recurrent neural networks. Thomas George Thuruthel and Cecilia Laschi, The BioRobotics ...

Soft robot perception using embedded soft sensors and ... - Altmetric

Soft robot perception using embedded soft sensors and recurrent neural networks. Overview of attention for article published in Science ...

Computational design of ultra-robust strain sensors for soft robot ...

Besides, the PCAM sensors were embedded into a pneumatic robot, as shown in ... Soft robot perception using embedded soft sensors and recurrent ...

Soft touchless sensors and touchless sensing for soft robots - Frontiers

Touchless sensing provides soft robots with several advantages, such as avoidance of the damage caused to the soft material by touch or repeated motion, being ...

Soft robot perception using embedded soft sensors and ... - dblp

Bibliographic details on Soft robot perception using embedded soft sensors and recurrent neural networks.

Closing the Control Loop with Time-Variant Embedded Soft Sensors ...

... sensing abilities in robotic systems. Due to their high compliance ... Soft robot perception using embedded soft sensors and recurrent neural networks.

Robust Multimodal Indirect Sensing for Soft Robots Via Neural ...

In this article, we propose a recurrent neural network-based adaptive unscented Kalman filter (RNN-AUKF) architecture to estimate the proprioceptive state and ...