Roberto Calandra

Full (W3) Professor at Kyber Labs

Dresden, Saxony, Germany
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Summary

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Roberto Calandra is a Full (W3) Professor and founder of the Learning, Adaptive Systems, and Robotics (LASR) Lab at Technische Universität Dresden, combining 11 years of experience at the intersection of machine learning, robotics, and tactile sensing. He led robotic research at Facebook AI, where he founded the Menlo Park lab and developed the widely adopted DIGIT tactile sensor that was commercialized with GelSight. His work spans academia and industry—from a BAIR postdoc at UC Berkeley to research roles at Microsoft and Aalto—bringing both deep Bayesian and robot-learning expertise to practical robotic systems. Based in Dresden, he advises startups like Kyber Labs while driving research that blends perception, touch, and adaptive control. Known for turning novel sensing ideas into broadly used tools, he bridges foundational ML methods and real-world robotic applications.
code11 years of coding experience
job5 years of employment as a software developer
bookTechnischen Universität Darmstadt
bookMaster’s Degree Machine Learning and Data Mining, Master’s Degree Machine Learning and Data Mining at Teknillinen korkeakoulu-Tekniska högskolan
bookHigh School, High School at Istituto Don Bosco Ranchibile di Palermo
bookBachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at Università degli Studi di Palermo
languagesFinnish, German, Italian, English
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Stackoverflow

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Github Skills (51)

ieee10
cnc-controller10
sensor10
reinforcement-learning9
digit9
simulator9
simulation9
computer-graphics9
robot9
gazebo-simulator9
yarp9
computer-vision8
gaussian-processes8
mujoco8
bayesian-statistics7

Programming languages (6)

C++CMakeLuaHTMLPythonCuda

Github contributions (5)

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bayesopt/bayesopt.github.io

Sep 2016 - Jul 2018

Contributions:65 commits, 67 pushes in 1 year 10 months
bayesopt
Python interface for the DIGIT tactile sensor
Contributions:7 commits, 7 pushes, 3 comments in 7 months
python
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