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Prof. Roberto Calandra

Person

Research interests

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

Career

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

 

Identification Numbers

ORCID Orcid 0000-0001-9430-8433, external link
Scopus author ID 55418579600

Related content

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 others, Kalakrishnan, M., Calandra, R., Kaess, M., Ortiz, J. & Mukadam, M., Nov 2024, In: Science Robotics. 9, 96, eadl0628.

Research output: Contribution to journalResearch articleContributedpeer-review

Learning to Control a Three-Dimensional Ferrofluidic Robot

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

Research output: Contribution to journalResearch articleContributedpeer-review

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 others, Lambeta, M., Calandra, R. & Goldberg, K., 2024, In: Proceedings of Machine Learning Research. 235, p. 14080-14101 22 p.

Research output: Contribution to journalConference articleContributedpeer-review

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. (eds.). Springer Science and Business Media B.V., p. 318-332 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 14505 LNCS).

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

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, p. 3812-3832 21 p.

Research output: Contribution to journalResearch articleContributedpeer-review