Roberto Calandra
Full (W3) Professor at Technische Universität Dresden
Dresden, Saxony, Germany
Summary
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Rockstar🎓
Top SchoolRoberto 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.
11 years of coding experience
5 years of employment as a software developer
Technischen Universität DarmstadtMaster’s Degree Machine Learning and Data Mining, Master’s Degree Machine Learning and Data Mining at Teknillinen korkeakoulu-Tekniska högskolanHigh School, High School at Istituto Don Bosco Ranchibile di PalermoBachelor’s Degree Computer Science Engineering, Bachelor’s Degree Computer Science Engineering at Università degli Studi di Palermo
Finnish, German, Italian, English
Stackoverflow
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0reached
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Github Skills (63)
digit10
ieee10
sensor10
simulator9
simulation9
python-interface9
robot9
gazebo-simulator9
yarp9
cnc-controller9
gaussian9
robotics-simulation8
reinforcement-learning8
computer-graphics8
ignition8
Programming languages (5)
Github contributions (5)
bayesopt/bayesopt.github.io
Sep 2016 - Jul 2018
Contributions:65 commits, 67 pushes in 1 year 10 months
bayesopt
robertocalandra/icub-gazebo-skin
Jul 2017 - May 2020
Contributions:5 commits, 4 pushes, 1 branch in 2 years 10 months
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