Robin Thandiackal

Short Bio

Robin Thandiackal received his BSc/MSc in Mechanical Engineering from the Swiss Federal Institute of Technology in Zürich (ETH). During his studies he focused on topics of Robotics, Control, Image Analysis and Computer Vision.

He joined the Biorobotics Laboratory at EPFL in September 2012 and obained his PhD in May 2017. His main research interest is in undulatory locomotion and includes especially swimming and amphibious robotics. His focus is on aspects of sensory feedback mechanisms that can shape emergent locomotion patterns in various environments.

Publications

Weakly supervised joint whole-slide segmentation and classification in prostate cancer

P. Pati; G. Jaume; Z. Ayadi; K. Thandiackal; B. Bozorgtabar et al. 

Medical Image Analysis. 2023-08-24. Vol. 89, p. 102915. DOI : 10.1016/j.media.2023.102915.

Emergence of robust self-organized undulatory swimming based on local hydrodynamic force sensing

R. Thandiackal; K. Melo; L. Paez; J. Herault; T. Kano et al. 

Science Robotics. 2021-08-11. Vol. 6, num. 57, p. eabf6354. DOI : 10.1126/scirobotics.abf6354.

Adaptive Compliant Foot Design for Salamander Robots

L. Paez; K. Melo; R. Thandiackal; A. J. Ijspeert 

2019-05-27. 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), Seoul, South Korea, April 14-18, 2019. p. 178-185. DOI : 10.1109/ROBOSOFT.2019.8722731.

Undulatory swimming control with local exteroceptive sensory feedback

R. Thandiackal; K. Melo; L. Paez; T. Kano; A. Ishiguro et al. 

2019-03-01. Annual Meeting of the Society-for-Integrative-and-Comparative-Biology (SICB), Tampa, FL, Jan 03-07, 2019. p. E230-E230.

Analysis of Pressure Forces During Spontaneous Turns in Zebrafish

R. Thandiackal; G. V. Lauder 

2019. 9ᵗʰ International Symposium on Adaptive Motion of Animals and Machines (AMAM 2019), EPFL, Lausanne, Switzerland, August 20th–23rd, 2019. DOI : 10.5075/epfl-BIOROB-AMAM2019-17.

Probabilistic Modeling of Programmable Stochastic Self-Assembly of Robotic Modules

B. Haghighat; R. Thandiackal; M. Mordig; A. Martinoli 

2017. IEEE/RSJ International Conference on Intelligent Robots and Systems, Vancouver, Canada, September 24–28, 2017. p. 4656-5663. DOI : 10.1109/IROS.2017.8206337.

Investigating Sensorimotor Control in Locomotion using Robots and Mathematical Models

R. Thandiackal / A. Ijspeert (Dir.)  

Lausanne, EPFL, 2017. 

Climbing favours the tripod gait over alternative faster insect gaits

P. Ramdya; R. Thandiackal; R. Cherney; T. Asselborn; R. Benton et al. 

Nature Communications. 2017. Vol. 8, p. 14494. DOI : 10.1038/ncomms14494.

Interfacing a salamander brain with a salamander-like robot: Control of speed and direction with calcium signals from brainstem reticulospinal neurons

D. Ryczko; R. Thandiackal; A. Ijspeert 

2016. 2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), Singapore, Singapore, 26-29 June 2016. p. 1140-1147. DOI : 10.1109/BIOROB.2016.7523785.

From cineradiography to biorobots: an approach for designing robots to emulate and study animal locomotion

K. Karakasiliotis; R. Thandiackal; K. Melo; T. Horvat; N. K. Mahabadi et al. 

Journal of The Royal Society Interface. 2016. Vol. 13, num. 119. DOI : 10.1098/rsif.2015.1089.

Inverse kinematics and reflex based controller for body-limb coordination of a salamander-like robot walking on uneven terrain

T. Horvat; K. Karakasiliotis; K. Melo; L. Fleury; R. Thandiackal et al. 

2015. 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Hamburg, Germany, 28 September – 2 October 2015. p. 195-201. DOI : 10.1109/IROS.2015.7353374.

Exploiting passive dynamics for robot throwing task

R. Thandiackal; C. Brandle; D. Leach; A. Jafari; F. Iida 

2012. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2012), Vilamoura-Algarve, Portugal, 7-12 October 2012. p. 2443-2448. DOI : 10.1109/IROS.2012.6386000.

Deformable shape models for 2D object segmentation

R. Thandiackal 

2011.