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09/01/2023
Gap and Overlap Detection in Automated Fiber Placement
The identification and correction of manufacturing defects, particularly...
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08/19/2023
A Transformer-based Framework For Multi-variate Time Series: A Remaining Useful Life Prediction Use Case
In recent times, Large Language Models (LLMs) have captured a global spo...
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08/11/2023
Learning to Team-Based Navigation: A Review of Deep Reinforcement Learning Techniques for Multi-Agent Pathfinding
Multi-agent pathfinding (MAPF) is a critical field in many large-scale r...
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07/29/2023
Using Implicit Behavior Cloning and Dynamic Movement Primitive to Facilitate Reinforcement Learning for Robot Motion Planning
Reinforcement learning (RL) for motion planning of multi-degree-of-freed...
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07/21/2023
Model Compression Methods for YOLOv5: A Review
Over the past few years, extensive research has been devoted to enhancin...
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07/21/2023
Systematic Adaptation of Communication-focused Machine Learning Models from Real to Virtual Environments for Human-Robot Collaboration
Virtual reality has proved to be useful in applications in several field...
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07/15/2023
Anomaly Detection in Automated Fibre Placement: Learning with Data Limitations
Current defect detection systems for Automated Fibre Placement (AFP) are...
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07/11/2023
Bag of Views: An Appearance-based Approach to Next-Best-View Planning for 3D Reconstruction
UAV-based intelligent data acquisition for 3D reconstruction and monitor...
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07/07/2023
Reinforcement and Deep Reinforcement Learning-based Solutions for Machine Maintenance Planning, Scheduling Policies, and Optimization
Systems and machines undergo various failure modes that result in machin...
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04/25/2023
Object Semantics Give Us the Depth We Need: Multi-task Approach to Aerial Depth Completion
Depth completion and object detection are two crucial tasks often used f...
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04/12/2023
Exploiting Intrinsic Stochasticity of Real-Time Simulation to Facilitate Robust Reinforcement Learning for Robot Manipulation
Simulation is essential to reinforcement learning (RL) before implementa...
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04/12/2023
Exploiting Symmetry and Heuristic Demonstrations in Off-policy Reinforcement Learning for Robotic Manipulation
Reinforcement learning demonstrates significant potential in automatical...
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04/12/2023
Human-Robot Skill Transfer with Enhanced Compliance via Dynamic Movement Primitives
Finding an efficient way to adapt robot trajectory is a priority to impr...
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03/31/2023
End-to-end deep learning-based framework for path planning and collision checking: bin picking application
Real-time and efficient path planning is critical for all robotic system...
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08/02/2022
InsightiGen: a versatile tool to generate insight for an academic systematic literature review
A comprehensive literature review has always been an essential first ste...
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06/24/2022