7 citations · 7 across the 6 of their papers we have counts for
7 papers
IDfRA: Self-Verification for Iterative Design in Robotic Assembly
Nishka Khendry, Christos Margadji, Sebastian W. Pattinson
As robots proliferate in manufacturing, Design for Robotic Assembly (DfRA), which is designing products for efficient automated assembly, is increasingly important. Traditional app…
Intelligent Vacuum Thermoforming Process
Andi Kuswoyo, Christos Margadji, Sebastian W. Pattinson
Ensuring consistent quality in vacuum thermoforming presents challenges due to variations in material properties and tooling configurations. This research introduces a vision-based…
Pre-trained Visual Representations Generalize Where it Matters in Model-Based Reinforcement Learning
Scott Jones, Liyou Zhou, Sebastian W. Pattinson
In visuomotor policy learning, the control policy for the robotic agent is derived directly from visual inputs. The typical approach, where a policy and vision encoder are trained…
Hybrid Reasoning for Perception, Explanation, and Autonomous Action in Manufacturing
Christos Margadji, Sebastian W. Pattinson
Industrial processes must be robust and adaptable, as environments and tasks are often unpredictable, while operational errors remain costly and difficult to detect. AI-based contr…
An Efficient and Uncertainty-aware Reinforcement Learning Framework for Quality Assurance in Extrusion Additive Manufacturing
Xiaohan Li, Sebastian Pattinson
Defects in extrusion additive manufacturing remain common despite its prevalent use. While numerous AI-driven approaches have been proposed to improve quality assurance, the inhere…
Regularized interpolation in 4D neural fields enables optimization of 3D printed geometries
Christos Margadji, Andi Kuswoyo, Sebastian W. Pattinson
The ability to accurately produce geometries with specified properties is perhaps the most important characteristic of a manufacturing process. 3D printing is marked by exceptional…