Clarence de Silva

Professor

The University of British Columbia

Canada

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Professor Clarence de Silva is a faculty member at the University of British Columbia in Canada. His research encompasses areas such as robotics, deep learning applications in dynamics, and precision motion control. Recent publications include studies on few-shot point cloud semantic segmentation and the application of ensemble methods for unsupervised adaptation.

Articles (17)

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2025

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2025

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2022

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2022

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2022

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2022

Collaborators (1)

James Enns

University of Western Australia

AUSTRALIA

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Clarence de Silva

Research Interests

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Articles (17)

Enhancement of Robot Dynamics Learning by Integrating Analytical Models into Deep Neural Networks: A Data Fusion Perspective

SDSimPoint: Shallow-Deep Similarity Learning for Few-Shot Point Cloud Semantic Segmentation

Linearization of Nonlinear Components in Instruments

Robust Precision Motion Control of Dual-Drive Gantry-Type Cartesian Robot With Workspace Constraints

A Fusion Algorithm Based on a Constant Velocity Model for Improving the Measurement of Saccade Parameters with Electrooculography

Remaining Useful Life Prediction via Frequency Emphasizing Mix-Up and Masked Reconstruction

Alternating Direction Method of Multipliers-Based Parallel Optimization for Multi-Agent Collision-Free Model Predictive Control

Ensemble diverse hypotheses and knowledge distillation for unsupervised cross-subject adaptation

Real-Time Quality Inspection of Motor Rotor Using Cost-Effective Intelligent Edge System

Robust Fixed-Order Controller Design for Uncertain Systems With Generalized Common Lyapunov Strictly Positive Realness Characterization

Hybrid Active–Passive Robust Control Framework of a Flexure-Joint Dual-Drive Gantry Robot for High-Precision Contouring Tasks

Edge Solution for Real-Time Motor Fault Diagnosis Based on Efficient Convolutional Neural Network

Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks

Mutual Variational Inference: An Indirect Variational Inference Approach for Unsupervised Domain Adaptation

Dynamic Modeling and Simulation of a Four-Wheel Skid-Steer Mobile Robot Using Linear Graphs

Attention-Driven Active Sensing With Hybrid Neural Network for Environmental Field Mapping

Global Iterative Sliding Mode Control of an Industrial Biaxial Gantry System for Contouring Motion Tasks

Collaborators (1)

James Enns

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