2 citations · 2 across the 3 of their papers we have counts for
3 papers
Iterative method for real-time Hybrid testing: application to a cantilever beam with two interface degrees of freedom
Alessandra Vizzaccaro, Sandor Beregi, David A. W. Barton +1
In this paper, an iterative method for real-time hybrid testing (RTHT) is proposed. The method seeks to iteratively balance the interface conditions between the physical and numeri…
A Comparison of Mesh-Free Differentiable Programming and Data-Driven Strategies for Optimal Control under PDE Constraints
Roussel Desmond Nzoyem, David A. W. Barton, Tom Deakin
The field of Optimal Control under Partial Differential Equations (PDE) constraints is rapidly changing under the influence of Deep Learning and the accompanying automatic differen…
Sim-to-Real Model-Based and Model-Free Deep Reinforcement Learning for Tactile Pushing
Max Yang, Yijiong Lin, Alex Church +4
Object pushing presents a key non-prehensile manipulation problem that is illustrative of more complex robotic manipulation tasks. While deep reinforcement learning (RL) methods ha…