no code implementations • 18 Oct 2023 • Pietro Vitiello, Kamil Dreczkowski, Edward Johns
In this paper, we study imitation learning under the challenging setting of: (1) only a single demonstration, (2) no further data collection, and (3) no prior task or object knowledge.
1 code implementation • NeurIPS 2023 • Kamil Dreczkowski, Antoine Grosnit, Haitham Bou Ammar
This paper introduces a modular framework for Mixed-variable and Combinatorial Bayesian Optimization (MCBO) to address the lack of systematic benchmarking and standardized evaluation in the field.
1 code implementation • 29 Jan 2022 • Asif Khan, Alexander I. Cowen-Rivers, Antoine Grosnit, Derrick-Goh-Xin Deik, Philippe A. Robert, Victor Greiff, Eva Smorodina, Puneet Rawat, Kamil Dreczkowski, Rahmad Akbar, Rasul Tutunov, Dany Bou-Ammar, Jun Wang, Amos Storkey, Haitham Bou-Ammar
software suite as a black-box oracle to score the target specificity and affinity of designed antibodies \textit{in silico} in an unconstrained fashion~\citep{robert2021one}.
no code implementations • 1 Nov 2021 • Eugene Valassakis, Kamil Dreczkowski, Edward Johns
Eye-in-hand camera calibration is a fundamental and long-studied problem in robotics.
no code implementations • 15 Sep 2021 • Kamil Dreczkowski, Edward Johns
In this paper, we propose Hybrid ICP, a novel and flexible ICP variant which dynamically optimises both the data association method and error metric based on the live image of an object and the current ICP estimate.