Cecilia Laschi
Biomedical Engineering · 2011–2019
A researcher in the Science corpus: 9 papers; trusts 28 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 80 citations into it; #3,179 of 10,734 by trust here, #2,092 by citations
- Mechanical Engineering — 35 citations into it; #4,037 of 8,300 by trust here, #2,663 by citations
- Control and Systems Engineering — 29 citations into it; #8,038 of 8,257 by trust here, #2,078 by citations
- Condensed Matter Physics — 24 citations into it; #1,249 of 1,948 by trust here, #494 by citations
- Artificial Intelligence — 10 citations into it
- Cognitive Neuroscience — 10 citations into it
- Reinforcement Learning — 10 citations into it
- Ocean Engineering — 8 citations into it
Whom Cecilia Laschi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rolf Pfeifer
- Sangbae Kim
- Josh C. Bongard
- Eric Brown
- Max Lungarella
- George M. Whitesides
- G. Leisk
- Diederik P. Kingma
- Matteo Cianchetti
- Sergey Levine
Who trusts Cecilia Laschi overall
- Matteo Cianchetti
- Barbara Mazzolai
- Andrew D. Marchese
- Daniela Rus
- Stephen Coyle
- Steven K. Leist
- François Schmitt
- Mariangela Manti
- Josie Hughes
- Cosimo Della Santina
Papers from Cecilia Laschi's perspective
Ordered by how strongly the researchers Cecilia Laschi trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Soft Robot Arm Inspired by the Octopus (2012) — 883 citations
- Soft robot perception using embedded soft sensors and recurrent neural networks (2019) — 595 citations
- Dynamic Model of a Multibending Soft Robot Arm Driven by Cables (2014) — 437 citations
- Soft Robotics: New Perspectives for Robot Bodyware and Control (2014) — 307 citations
- Biomedical applications of soft robotics (2018) — 1,232 citations
- Design concept and validation of a robotic arm inspired by the octopus (2011) — 174 citations
- Control Strategies for Soft Robotic Manipulators: A Survey (2018) — 588 citations
- STIFF-FLOP surgical manipulator: Mechanical design and experimental characterization of the single module (2013) — 295 citations
- Model-Based Reinforcement Learning for Closed-Loop Dynamic Control of Soft Robotic Manipulators (2019) — 366 citations