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BeBOP: Combining Reactive Planning and Bayesian Optimization to Solve Robotic Manipulation Tasks
Roberto Calandra - Bayesian optimization for robotics
Bayesian Optimization (Framework) Intended for Real Experiments
Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels
Sim2Real|Bayesian Optimisation|Robotics
Proactive Camera Attribute Control using Bayesian Optimization
Generic Camera Attribute Control using Bayesian Optimization
Robot Grasping with Unscented Bayesian Optimization
DOM Workshop IROS 2026: On the Numerical Reliability of Differentiable Physics-Based Optimization
Tuning Legged Locomotion Controllers via Safe Bayesian Optimization
Bayesian Disturbance Injection:Robust Imitation Learning of Flexible Policies for Robot Manipulation
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Last Updated: September 28, 2026
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Summary
ICDL-EpiRob 2020: Poster Session Presentation at ICRA 2021 of our Authors: Aryan Deshwal, Sait Cakmak, Yuhou Xia, David Eriksson 2024.automl.cc/ This is the accompanying video to our paper "BeBOP -- Combining Reactive Planning and by Johannes P. Dürholt at the AutoML Summer School 2026. Here, we provide another interesting application we worked on for Sim2Real using Joowan Kim, Younggun Cho and Ayoung Kim, Proactive Differentiable physics is increasingly used in Supplementary video for the CoRL 2023 paper "Tuning Legged Locomotion Controllers via Safe This video presents interesting scenes of real
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