Alessandro Crespi

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alessandro.crespi@epfl.ch +41 21 693 66 30 https://biorob.epfl.ch/people/crespi

https://orcid.org/0000-0001-9863-5220

EPFL STI IBI-STI BIOROB
MED 1 1025 (Bâtiment MED)
Station 9
1015 Lausanne

+41 21 693 66 30
Office: MED 1 1025
EPFL > STI > IBI-STI > BIOROB

Web site: Web site: https://biorob.epfl.ch/

EPFL STI IBI-STI BIOROB
MED 1 1025 (Bâtiment MED)
Station 9
1015 Lausanne

+41 21 693 66 30
Office: MED 1 1025
EPFL > VPO-SE > OHS > COSEC-STI

EPFL STI IBI-STI BIOROB
DLLEL 1 32 (Bâtiment DLL EL)
Station 11
1015 Lausanne

+41 21 693 66 30
Office: DLLEL 1 32
EPFL > STI > DLL-STI > DLL-STI-PROT

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Administrative data

Publications

Infoscience publications

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Infoscience

Euclid preparation XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses

G. F. Lesci; M. Sereno; M. Radovich; G. Castignani; L. Bisigello et al.

Astronomy & Astrophysics. 2024-04-17. DOI : 10.1051/0004-6361/202348743.

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Euclid preparation XXXVI. Modelling the weak lensing angular power spectrum

A. C. Deshpande; T. Kitching; A. Hall; M. L. Brown; N. Aghanim et al.

Astronomy & Astrophysics. 2024-04-17. DOI : 10.1051/0004-6361/202346110.

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Euclid: Improving the efficiency of weak lensing shear bias calibration

H. Jansen; M. Tewes; T. Schrabback; N. Aghanim; A. Amara et al.

Astronomy & Astrophysics. 2024-03-28. DOI : 10.1051/0004-6361/202347833.

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Euclid: The search for primordial features

M. Ballardini; Y. Akrami; F. Finelli; D. Karagiannis; B. Li et al.

Astronomy & Astrophysics. 2024-03-25. DOI : 10.1051/0004-6361/202348162.

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XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear

K. Tanidis; V. F. Cardone; M. Martinelli; I. Tutusaus; S. Camera et al.

Astronomy & Astrophysics. 2024-02-29. DOI : 10.1051/0004-6361/202347870.

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Euclid: Validation of the MontePython forecasting tools

S. Casas; J. Lesgourgues; N. Schoneberg; V. M. Sabarish; L. Rathmann et al.

Astronomy & Astrophysics. 2024-02-08. DOI : 10.1051/0004-6361/202346772.

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Euclid preparation XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

C. Giocoli; M. Meneghetti; E. Rasia; S. Borgani; G. Despali et al.

Astronomy & Astrophysics. 2024-01-16. DOI : 10.1051/0004-6361/202346058.

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Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

L. Leuzzi; M. Meneghetti; G. Angora; R. B. Metcalf; L. Moscardini et al.

Astronomy & Astrophysics. 2024-01-16. DOI : 10.1051/0004-6361/202347244.

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Euclid preparation

S. Paltani; J. Coupon; W. G. Hartley; A. Alvarez-Ayllon; F. Dubath et al.

Astronomy & Astrophysics. 2024-01-16. DOI : 10.1051/0004-6361/202346993.

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Euclid: Identification of asteroid streaks in simulated images using deep learning

M. Pontinen; M. Granvik; A. A. Nucita; L. Conversi; B. Altieri et al.

Astronomy & Astrophysics. 2023-11-29. DOI : 10.1051/0004-6361/202347551.

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Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

L. Bisigello; C. J. Conselice; M. Baes; M. Bolzonella; M. Brescia et al.

Monthly Notices Of The Royal Astronomical Society. 2023-02-15. DOI : 10.1093/mnras/stac3810.

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<i>Euclid:</i> modelling massive neutrinos in cosmology a code comparison

J. Adamek; R. E. Angulo; C. Arnold; M. Baldi; M. Biagetti et al.

Journal Of Cosmology And Astroparticle Physics. 2023-06-01. DOI : 10.1088/1475-7516/2023/06/035.

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Two simple movement mechanisms for spatial division of labour in social insects

T. O. Richardson; N. Stroeymeyt; A. Crespi; L. Keller

Nature Communications. 2022-11-15. DOI : 10.1038/s41467-022-34706-7.

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Dual-function artificial molecular motors performing rotation and photoluminescence

L. Pfeifer; N. V. Hoang; S. Crespi; M. S. Pshenichnikov; B. L. Feringa

Science Advances. 2022-11-02. DOI : 10.1126/sciadv.add0410.

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Mechanistic Insight into Supramolecular Polymerization in Water Tunable by Molecular Geometry

F. Xu; S. Crespi; L. Pfeifer; M. C. A. Stuart; B. L. Feringa

Ccs Chemistry. 2022-07-01. DOI : 10.31635/ccschem.022.202201821.

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Euclid: Forecast constraints on consistency tests of the ?CDM model

S. Nesseris; D. Sapone; M. Martinelli; D. Camarena; V. Marra et al.

Astronomy & Astrophysics. 2022-04-13. DOI : 10.1051/0004-6361/202142503.

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Euclid preparation XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields

A. Moneti; H. J. McCracken; M. Shuntov; O. B. Kauffmann; P. Capak et al.

Astronomy & Astrophysics. 2022-02-10. DOI : 10.1051/0004-6361/202142361.

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Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis

S. Ilic; N. Aghanim; C. Baccigalupi; J. R. Bermejo-Climent; G. Fabbian et al.

Astronomy & Astrophysics. 2022-01-18. DOI : 10.1051/0004-6361/202141556.

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Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

H. Bretonniere; M. Huertas-Company; A. Boucaud; F. Lanusse; E. Jullo et al.

Astronomy & Astrophysics. 2022-01-18. DOI : 10.1051/0004-6361/202141393.

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Euclid preparation XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS

A. S. Borlaff; P. Gomez-Alvarez; B. Altieri; P. M. Marcum; R. Vavrek et al.

Astronomy & Astrophysics. 2022-01-18. DOI : 10.1051/0004-6361/202141935.

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Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

N. Hamaus; M. Aubert; A. Pisani; S. Contarini; G. Verza et al.

Astronomy & Astrophysics. 2022-01-26. DOI : 10.1051/0004-6361/202142073.

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Euclid preparation: IX. EuclidEmulator2-power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

J. Stadel; D. Potter; J. Dakin; S. Hannestad; T. Tram et al.

Monthly Notices Of The Royal Astronomical Society. 2021-08-01. DOI : 10.1093/mnras/stab1366.

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Reproducing Five Motor Behaviors in a Salamander Robot With Virtual Muscles and a Distributed CPG Controller Regulated by Drive Signals and Proprioceptive Feedback

J. Knüsel; A. Crespi; J.-M. Cabelguen; A. J. Ijspeert; D. Ryczko

Frontiers in Neurorobotics. 2020-12-23. DOI : 10.3389/fnbot.2020.604426.

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A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras

I. Youssef; M. Mutlu; B. Bayat; A. Crespi; S. Hauser et al.

IEEE Robotics and Automation Letters. 2020-02-10. DOI : 10.1109/LRA.2020.2972839.

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Euclid preparation: X. The Euclid photometric-redshift challenge

G. Desprez; S. Paltani; J. Coupon; I. Almosallam; A. Alvarez-Ayllon et al.

Astronomy & Astrophysics. 2020-11-25. DOI : 10.1051/0004-6361/202039403.

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Euclid preparation: VII. Forecast validation for Euclid cosmological probes

A. Blanchard; S. Camera; C. Carbone; V. F. Cardone; S. Casas et al.

Astronomy & Astrophysics. 2020-10-20. DOI : 10.1051/0004-6361/202038071.

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Euclid preparation VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release

V. Guglielmo; R. Saglia; F. J. Castander; A. Galametz; S. Paltani et al.

Astronomy & Astrophysics. 2020-10-20. DOI : 10.1051/0004-6361/202038334.

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Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies

S. Pires; V. Vandenbussche; V. Kansal; R. Bender; L. Blot et al.

Astronomy & Astrophysics. 2020-06-26. DOI : 10.1051/0004-6361/201936865.

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Euclid preparation V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey

R. Barnett; S. J. Warren; D. J. Mortlock; Cuby; C. Conselice et al.

Astronomy & Astrophysics. 2019-10-25. DOI : 10.1051/0004-6361/201936427.

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Social network plasticity decreases disease transmission in a eusocial insect

N. Stroeymeyt; A. V. Grasse; A. Crespi; D. P. Mersch; S. Cremer et al.

Science. 2018-11-23. DOI : 10.1126/science.aat4793.

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Automated computer-based detection of encounter behaviours in groups of honeybees

C. Blut; A. Crespi; D. Mersch; L. Keller; L. Zhao et al.

Scientific Reports. 2017. DOI : 10.1038/s41598-017-17863-4.

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Environmental Monitoring using Autonomous Vehicles: A Survey of Recent Searching Techniques

B. Bayat; N. Crasta; A. Crespi; A. M. Pascoal; A. Ijspeert

Current Opinion in Biotechnology. 2017. DOI : 10.1016/j.copbio.2017.01.009.

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Envirobot: A Bio-Inspired Environmental Monitoring Platform

B. Bayat; A. Crespi; A. Ijspeert

2016. IEEE/OES Conference on Autonomous Underwater Vehicles (AUV), Tokyo, Japan, November 6-9, 2016. p. 381-386. DOI : 10.1109/AUV.2016.7778700.

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Optical properties of waveguide-coupled nanowires for sub-wavelength detection in microspectrometer applications

E. Zgraggen; O. Scholder; Bona; F. Fontana; E. Alberti et al.

Journal Of Optics. 2015. DOI : 10.1088/2040-8978/17/2/025801.

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Flexibility of the axial central pattern generator network for locomotion in the salamander

D. Ryczko; J. Knüsel; A. Crespi; S. Lamarque; A. Mathou et al.

Journal of Neurophysiology. 2015. DOI : 10.1152/jn.00894.2014.

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Tracking Individuals Shows Spatial Fidelity Is a Key Regulator of Ant Social Organization

D. P. Mersch; A. Crespi; L. Keller

Science. 2013. DOI : 10.1126/science.1234316.

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Salamandra Robotica II: An Amphibious Robot to Study Salamander-Like Swimming and Walking Gaits

A. Crespi; K. Karakasiliotis; A. Guignard; A. J. Ijspeert

IEEE Transactions on Robotics. 2013. DOI : 10.1109/TRO.2012.2234311.

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Gait transitions between swimming and walking in salamander: lessons from numerical modeling and robotics

J. Knuesel; K. Karakasiliotis; A. Crespi; D. Ryczko; J.-M. Cabelguen et al.

2013. Annual Meeting of the Society for Integrative and Comparative Biology (SICB). p. E113.

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The influence of frontal glutathione levels on white matter connectivity in healthy and early psychosis subjects: a preliminary study

A. Griffa; P. S. Baumann; L. Xin; S. Crespi; C. Ferrari et al.

2012. ESMRMB - European Society for Magnetic Resonance in Medicine and Biology, Lisbon, Portugal.

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MRS Frontal Glutathione Levels Correlate with DSI White Matter Integrity Measure in Control Subjects but Not in Early Psychosis Patients

P. S. Baumann; A. Griffa; L. Xin; S. Crespi; C. Ferrari et al.

2012. 67th Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry, Philadelphia, PA, May 03-05, 2012. p. 259S-259S.

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Investigation of Network Metrics Correlation with Frontal Glutathione Levels in Control and First Episode Psychosis Subjects

A. Griffa; P. S. Baumann; L. Xin; S. Crespi; C. Ferrari et al.

2012. 67th Annual Scientific Convention and Meeting of the Society-of-Biological-Psychiatry, Philadelphia, PA, May 03-05, 2012. p. 254S-254S.

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Assistance using adaptive oscillators: Robustness to errors in the identification of the limb parameters

M. D. Rinderknecht; F. A. Delaloye; A. Crespi; R. Ronsse; A. J. Ijspeert

2011. IEEE International Conference on Rehabilitation Robotics (ICORR)/International Neurorehabilitation Symposium (INRS)/International Conference on Virtual Rehabilitation (ICVR), Zurich, SWITZERLAND, Jun 27-Jul 01, 2011. DOI : 10.1109/ICORR.2011.5975351.

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Positive feedback in the transition from sexual reproduction to parthenogenesis

T. Schwander; S. Vuilleumier; J. Dubman; B. J. Crespi

Proceedings of the Royal Society B Biological Sciences. 2010. DOI : 10.1098/rspb.2009.2113.

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Salamandra robotica: A Biologically Inspired Amphibious Robot that Swims and Walks

A. Crespi; A. J. Ijspeert

Artificial Life Models in Hardware; Springer, 2009. p. 35-64.

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Controlling swimming and crawling in a fish robot using a central pattern generator

A. Crespi; D. Lachat; A. Pasquier; A. J. Ijspeert

Autonomous Robots. 2008. DOI : 10.1007/s10514-007-9071-6.

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Online optimization of swimming and crawling in an amphibious snake robot

A. Crespi; A. J. Ijspeert

IEEE Transactions on Robotics and Automation. 2008. DOI : 10.1109/TRO.2008.915426.

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Online trajectory generation in an amphibious snake robot using a lamprey-like central pattern generator model

A. J. Ijspeert; A. Crespi

2007. IEEE International Conference on Robotics and Automation, Rome, Italy, Apr 10-14, 2007. p. 262-268. DOI : 10.1109/ROBOT.2007.363797.

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From swimming to walking with a salamander robot driven by a spinal cord model

A. J. Ijspeert; A. Crespi; D. Ryczko; J.-M. Cabelguen

Science. 2007. DOI : 10.1126/science.1138353.

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Design and control of amphibious robots with multiple degrees of freedom

A. Crespi / A. J. Ijspeert (Dir.)

Lausanne, EPFL, 2007. DOI : 10.5075/epfl-thesis-3786.

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BoxyBot: a swimming and crawling fish robot controlled by a central pattern generator

D. Lachat; A. Crespi; A. J. Ijspeert

2006. p. 643-648. DOI : 10.1109/BIOROB.2006.1639162.

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AmphiBot II: An Amphibious Snake Robot that Crawls and Swims using a Central Pattern Generator

A. Crespi; A. J. Ijspeert

2006. p. 19-27.

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Simulation and robotics studies of salamander locomotion

A. J. Ijspeert; A. Crespi; J.-M. Cabelguen

Neuroinformatics. 2005. DOI : 10.1385/NI:3:3:171.

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AmphiBot I: An amphibious snake-like robot

A. Crespi; A. Badertscher; A. Guignard; A. Ijspeert

Robotics and Autonomous Systems. 2005. DOI : 10.1016/j.robot.2004.09.015.

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Swimming and Crawling with an Amphibious Snake Robot

A. Crespi; A. Badertscher; A. Guignard; A. Ijspeert

2005. p. 3024-3028. DOI : 10.1109/ROBOT.2005.1570574.

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Institute Presentation: Biologically Inspired Robotics Group at EPFL

A. Ijspeert; J. Buchli; A. Crespi; L. Righetti; Y. Bourquin

International Journal of Advanced Robotics Systems. 2005.

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Simulation and Robotics Studies of Salamander Locomotion. Applying Neurobiological Principles to the Control of Locomotion in Robots

A. Ijspeert; A. Crespi; J. Cabelguen

Neuroinformatics. 2005. DOI : 10.1385/NI:3:3:171.

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An amphibious robot capable of snake and lamprey-like locomotion

A. Crespi; A. Badertscher; A. Guignard; A. Ijspeert

2004.

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Alessandro Crespi

Publications

Infoscience publications

Infoscience

Euclid preparation XXXVII. Galaxy colour selections with Euclid and ground photometry for cluster weak-lensing analyses

Euclid preparation XXXVI. Modelling the weak lensing angular power spectrum

Euclid: Improving the efficiency of weak lensing shear bias calibration

Euclid: The search for primordial features

XXXIV. The effect of linear redshift-space distortions in photometric galaxy clustering and its cross-correlation with cosmic shear

Euclid: Validation of the MontePython forecasting tools

Euclid preparation XXXII. Evaluating the weak-lensing cluster mass biases using the Three Hundred Project hydrodynamical simulations

Euclid preparation XXXIII. Characterization of convolutional neural networks for the identification of galaxy-galaxy strong-lensing events

Euclid preparation

Euclid: Identification of asteroid streaks in simulated images using deep learning

Euclid preparation - XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images

<i>Euclid:</i> modelling massive neutrinos in cosmology a code comparison

Two simple movement mechanisms for spatial division of labour in social insects

Dual-function artificial molecular motors performing rotation and photoluminescence

Mechanistic Insight into Supramolecular Polymerization in Water Tunable by Molecular Geometry

Euclid: Forecast constraints on consistency tests of the ?CDM model

Euclid preparation XVII. Cosmic Dawn Survey: Spitzer Space Telescope observations of the Euclid deep fields and calibration fields

Euclid preparation XV. Forecasting cosmological constraints for the Euclid and CMB joint analysis

Euclid preparation XIII. Forecasts for galaxy morphology with the Euclid Survey using deep generative models

Euclid preparation XVI. Exploring the ultra-low surface brightness Universe with Euclid/VIS

Euclid: Forecasts from redshift-space distortions and the Alcock-Paczynski test with cosmic voids

Euclid preparation: IX. EuclidEmulator2-power spectrum emulation with massive neutrinos and self-consistent dark energy perturbations

Reproducing Five Motor Behaviors in a Salamander Robot With Virtual Muscles and a Distributed CPG Controller Regulated by Drive Signals and Proprioceptive Feedback

A Neuro-Inspired Computational Model for a Visually Guided Robotic Lamprey Using Frame and Event Based Cameras

Euclid preparation: X. The Euclid photometric-redshift challenge

Euclid preparation: VII. Forecast validation for Euclid cosmological probes

Euclid preparation VIII. The Complete Calibration of the Colour-Redshift Relation survey: VLT/KMOS observations and data release

Euclid: Reconstruction of weak-lensing mass maps for non-Gaussianity studies

Euclid preparation V. Predicted yield of redshift 7 < z < 9 quasars from the wide survey

Social network plasticity decreases disease transmission in a eusocial insect

Automated computer-based detection of encounter behaviours in groups of honeybees

Environmental Monitoring using Autonomous Vehicles: A Survey of Recent Searching Techniques

Envirobot: A Bio-Inspired Environmental Monitoring Platform

Optical properties of waveguide-coupled nanowires for sub-wavelength detection in microspectrometer applications

Flexibility of the axial central pattern generator network for locomotion in the salamander

Tracking Individuals Shows Spatial Fidelity Is a Key Regulator of Ant Social Organization

Salamandra Robotica II: An Amphibious Robot to Study Salamander-Like Swimming and Walking Gaits

Gait transitions between swimming and walking in salamander: lessons from numerical modeling and robotics

The influence of frontal glutathione levels on white matter connectivity in healthy and early psychosis subjects: a preliminary study

MRS Frontal Glutathione Levels Correlate with DSI White Matter Integrity Measure in Control Subjects but Not in Early Psychosis Patients

Investigation of Network Metrics Correlation with Frontal Glutathione Levels in Control and First Episode Psychosis Subjects

Assistance using adaptive oscillators: Robustness to errors in the identification of the limb parameters

Positive feedback in the transition from sexual reproduction to parthenogenesis

Salamandra robotica: A Biologically Inspired Amphibious Robot that Swims and Walks

Controlling swimming and crawling in a fish robot using a central pattern generator

Online optimization of swimming and crawling in an amphibious snake robot

Online trajectory generation in an amphibious snake robot using a lamprey-like central pattern generator model

From swimming to walking with a salamander robot driven by a spinal cord model

Design and control of amphibious robots with multiple degrees of freedom

BoxyBot: a swimming and crawling fish robot controlled by a central pattern generator

AmphiBot II: An Amphibious Snake Robot that Crawls and Swims using a Central Pattern Generator

Simulation and robotics studies of salamander locomotion

AmphiBot I: An amphibious snake-like robot

Swimming and Crawling with an Amphibious Snake Robot

Institute Presentation: Biologically Inspired Robotics Group at EPFL

Simulation and Robotics Studies of Salamander Locomotion. Applying Neurobiological Principles to the Control of Locomotion in Robots

An amphibious robot capable of snake and lamprey-like locomotion

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