Mohamed Baioumy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 16

Top Topics

Probabilistic Inference

Control Of Robot Manipulators

Robot Manipulators

Top Venues

PKDD/ECML Workshops (1)

Publications

Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. CoRR (2024)
Michael Painter, Mohamed Baioumy, Nick Hawes, Bruno Lacerda
Monte Carlo Tree Search with Boltzmann Exploration. NeurIPS (2023)
Mohamed Baioumy, William Hartemink, Riccardo M. G. Ferrari, Nick Hawes
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning. CoRR (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Nick Hawes
Unbiased Active Inference for Classical Control. IROS (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Nick Hawes
Unbiased Active Inference for Classical Control. CoRR (2022)
Mohamed Baioumy, Corrado Pezzato, Riccardo M. G. Ferrari, Carlos Hernández Corbato, Nick Hawes
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. CoRR (2021)
Pablo Lanillos, Cristian Meo, Corrado Pezzato, Ajith Anil Meera, Mohamed Baioumy, Wataru Ohata, Alexander Tschantz, Beren Millidge, Martijn Wisse, Christopher L. Buckley, Jun Tani
Active Inference in Robotics and Artificial Agents: Survey and Challenges. CoRR (2021)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. ICRA (2021)
Mohamed Baioumy, Corrado Pezzato, Riccardo Ferrari, Carlos Hernández Corbato, Nick Hawes
Fault-tolerant Control of Robot Manipulators with Sensory Faults using Unbiased Active Inference. ECC (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. CoRR (2021)
Mohamed Baioumy, Corrado Pezzato, Carlos Hernandez Corbato, Nick Hawes, Riccardo Ferrari
Towards Stochastic Fault-tolerant Control using Precision Learning and Active Inference. CoRR (2021)
Mohamed Baioumy, Corrado Pezzato, Carlos Hernández Corbato, Nick Hawes, Riccardo M. G. Ferrari
Towards Stochastic Fault-Tolerant Control Using Precision Learning and Active Inference. PKDD/ECML Workshops (1) (2021)
Mohamed Baioumy, Bruno Lacerda, Paul Duckworth, Nick Hawes
On Solving a Stochastic Shortest-Path Markov Decision Process as Probabilistic Inference. PKDD/ECML Workshops (1) (2021)
Corrado Pezzato, Mohamed Baioumy, Carlos Hernández Corbato, Nick Hawes, Martijn Wisse, Riccardo M. G. Ferrari
Active Inference for Fault Tolerant Control of Robot Manipulators with Sensory Faults. IWAI (2020)
Mohamed Baioumy, Paul Duckworth, Bruno Lacerda, Nick Hawes
Active Inference for Integrated State-Estimation, Control, and Learning. CoRR (2020)
Job Neven, Mohamed Baioumy, Wouter Wolfslag, Martijn Wisse
Design and Evaluation of an Energy-Saving Drive for a Versatile Robotic Gripper. ICRA (2019)