Robert Skilton

Orcid: 0000-0003-1076-906X

According to our database1, Robert Skilton authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
AutoInspect: Towards Long-Term Autonomous Industrial Inspection.
CoRR, 2024

Consensus-based Deep Reinforcement Learning for Mobile Robot Mapless Navigation.
Proceedings of the IEEE International Conference on Industrial Technology, 2024

2023
Sim-to-Real Deep Reinforcement Learning with Manipulators for Pick-and-Place.
Proceedings of the Towards Autonomous Robotic Systems - 24th Annual Conference, 2023

The Impact of a Haptic Digital Twin in the Nuclear Industry and Potential Applications.
Proceedings of the IEEE International Conference on Advanced Robotics and Its Social Impacts, 2023

2022
Investigating the Relationship Between Posture and Safety in Teleoperational Tasks: A Pilot Study in Improved Operational Safety Through Enhanced Human-Machine Interaction.
Proceedings of the Towards Autonomous Robotic Systems - 23rd Annual Conference, 2022

2021
Robot-Assisted Glovebox Teleoperation for Nuclear Industry.
Robotics, 2021

Variational AutoEncoder to Identify Anomalous Data in Robots.
Robotics, 2021

A Multiple Level-of-Detail 3D Data Transmission Approach for Low-Latency Remote Visualisation in Teleoperation Tasks.
Robotics, 2021

Engineering Interoperable, Plug-and-Play, Distributed, Robotic Control Systems for Futureproof Fusion Power Plants.
Robotics, 2021

Optimal Grasping Pose Synthesis in a Constrained Environment.
Robotics, 2021

Point Cloud Compression and Transmission for Remote Handling Applications.
J. Softw., 2021

Evaluating Prototype Augmented and Adaptive guidance system to support Industrial Plant Maintenance.
Proceedings of the MobileHCI '21: 23rd International Conference on Mobile Human-Computer Interaction, Toulouse & Virtual Event, France, 27 September 2021, 2021

2019
Visual Detection of Generic Defects in Industrial Components using Generative Adversarial Networks.
Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019


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