Weiter zum Inhalt Weiter zur Fußzeile

Prof. Roberto Calandra

Person

Forschungsgebiete

  • Robotics
  • Model-based Control
  • Tactile Sensing
  • Legged Locomotion
  • Machine Learning
  • Reinforcement Learning
  • Bayesian Optimization
  • Deep Learning

Werdegang

Since
March 2023

Full Professor (W3), Technische Universit ̈at Dresden, Germany,
Head of the Learning, Adaptive Systems and Robotics (LASR) lab

Since
May 2023

Scientific Advisor,
Kyber Labs

2018 - 2023

Research Scientist,
Meta AI (formerly Facebook AI Research), United States
Founder of the Robotic Lab in Menlo Park

2016 - 2018

Postdoctoral Scholar,
University of California: Berkeley, United States

2016

Ph.D. in Computer Science,
Technische Universit ̈at Darmstadt, Germany
Thesis topic: Bayesian Modeling for Optimization and Control in Robotics

Jul - Oct 2015

Research Intern,
Microsoft Research, Cambridge, UK

2011

M.Sc. in Machine Learning and Data Mining,
Aalto University, Finland
Thesis topic: An Exploration of Deep Belief Networks toward Adaptive Learning

May - Dec 2010

Research Assistant, Bayesian Methodology group,
Aalto University, Finland 

2009

B.Sc. in Computer Science Engineering,
Universit`a degli Studi di Palermo, Italy
Thesis topic: Design and Building of a Robotics Mobile Platform

Mar - May 2008

Intern,
BELTEC s.r.l., Italy

 

Identifizierungsnummern

ORCID Orcid 0000-0001-9430-8433, Externer Link
Scopus Autor ID 55418579600

NeuralFeels with neural fields: Visuotactile perception for in-hand manipulation

Suresh, S., Qi, H., Wu, T., Fan, T., Pineda, L., Lambeta, M. & Malik, J. & 5 weitere, Kalakrishnan, M., Calandra, R., Kaess, M., Ortiz, J. & Mukadam, M., Nov. 2024, in: Science Robotics. 9, 96, eadl0628.

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Learning to Control a Three-Dimensional Ferrofluidic Robot

Ahmed, R., Calandra, R. & Marvi, H., 1 Apr. 2024, in: Soft robotics. 11, 2, S. 218-229 12 S.

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

A Touch, Vision, and Language Dataset for Multimodal Alignment

Fu, L., Datta, G., Huang, H., Panitch, W. C. H., Drake, J., Ortiz, J. & Mukadam, M. & 3 weitere, Lambeta, M., Calandra, R. & Goldberg, K., 2024, in: Proceedings of Machine Learning Research. 235, S. 14080-14101 22 S.

Publikation: Beitrag in FachzeitschriftKonferenzartikelBeigetragenBegutachtung

Co-imagination of Behaviour and Morphology of Agents

Sliacka, M., Mistry, M., Calandra, R., Kyrki, V. & Luck, K. S., 2024, Machine Learning, Optimization, and Data Science - 9th International Conference, LOD 2023. Nicosia, G., Ojha, V., La Malfa, E., La Malfa, G., Pardalos, P. M. & Umeton, R. (Hrsg.). Springer Science and Business Media B.V., S. 318-332 15 S. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Band 14505 LNCS).

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Evetac: An Event-Based Optical Tactile Sensor for Robotic Manipulation

Funk, N., Helmut, E., Chalvatzaki, G., Calandra, R. & Peters, J., 2024, in: IEEE Transactions on Robotics. 40, S. 3812-3832 21 S.

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung