Sim-to-Real: Learning Agile Locomotion For Quadruped Robots

27 Apr 2018 • 2 code implementations

The control policies are learned in a physics simulator and then deployed on real robots.

Bayesian Optimization with Safety Constraints: Safe and Automatic Parameter Tuning in Robotics

14 Feb 2016 • 2 code implementations

Recently, a safe Bayesian optimization algorithm, called SafeOpt, has been developed, which guarantees that the performance of the system never falls below a critical value; that is, safety is defined based on the performance function.

Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems

28 May 2019 • 1 code implementation

Our model class is a generalisation of nonlinear mixed-effects (NLME) dynamical systems, the statistical workhorse for many experimental sciences.

BAYESIAN INFERENCE ZERO-SHOT LEARNING

Vision-based inspection system employing computer vision & neural networks for detection of fractures in manufactured components

25 Jan 2019 • 1 code implementation

We are proceeding towards the age of automation and robotic integration of our production lines [5].