Charlie C. L. Wang
YOU?
Author Swipe
View article: Can Any Model Be Fabricated? Inverse Operation Based Planning for Hybrid Additive-Subtractive Manufacturing
Can Any Model Be Fabricated? Inverse Operation Based Planning for Hybrid Additive-Subtractive Manufacturing Open
This paper presents a method for computing interleaved additive and subtractive manufacturing operations to fabricate models of arbitrary shapes. We solve the manufacturing planning problem by searching a sequence of inverse operations tha…
View article: Can any model be fabricated? Inverse operation based planning for hybrid additive-subtractive manufacturing
Can any model be fabricated? Inverse operation based planning for hybrid additive-subtractive manufacturing Open
This paper presents a method for computing interleaved additive and subtractive manufacturing operations to fabricate models of arbitrary shapes. We solve the manufacturing planning problem by searching a sequence of inverse operations tha…
View article: Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites
Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites Open
We propose a neural network-based computational framework for the simultaneous optimization of structural topology, curved layers, and path orientations to achieve strong anisotropic strength in fiber-reinforced thermoplastic composites wh…
View article: Sensor-Space Based Robust Kinematic Control of Redundant Soft Manipulator by Learning
Sensor-Space Based Robust Kinematic Control of Redundant Soft Manipulator by Learning Open
The intrinsic compliance and high degree of freedom (DoF) of redundant soft manipulators facilitate safe interaction and flexible task execution. However, effective kinematic control remains highly challenging, as it must handle deformatio…
View article: Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites
Neural Co-Optimization of Structural Topology, Manufacturable Layers, and Path Orientations for Fiber-Reinforced Composites Open
We propose a neural network-based computational framework for the simultaneous optimization of structural topology, curved layers, and path orientations to achieve strong anisotropic strength in fiber-reinforced thermoplastic composites wh…
View article: Simultaneous Topology Optimization of Differentiable and Non‐Differentiable Objectives via Morphology Learning: Stiffness and Cell Growth on Scaffold
Simultaneous Topology Optimization of Differentiable and Non‐Differentiable Objectives via Morphology Learning: Stiffness and Cell Growth on Scaffold Open
Topology optimization (TO) of microstructures plays a critical role in optimizing functional performance across diverse engineering applications. While metamaterials with enhanced mechanical properties—such as hyperelasticity, energy absor…
View article: Toolpath generation for high density spatial fiber printing guided by principal stresses
Toolpath generation for high density spatial fiber printing guided by principal stresses Open
While multi-axis 3D printing can align continuous fibers along principal stresses in continuous fiber-reinforced thermoplastic (CFRTP) composites to enhance mechanical strength, existing methods have difficulty generating toolpaths with hi…
View article: Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures
Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures Open
Joint injuries, and their long-term consequences, present a substantial global health burden. Wearable prophylactic braces are an attractive potential solution to reduce the incidence of joint injuries by limiting joint movements that are …
View article: Learning Based Toolpath Planner on Diverse Graphs for 3D Printing
Learning Based Toolpath Planner on Diverse Graphs for 3D Printing Open
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on different models and the large scale of nodes & edges on a gra…
View article: Toolpath Generation for High Density Spatial Fiber Printing Guided by Principal Stresses
Toolpath Generation for High Density Spatial Fiber Printing Guided by Principal Stresses Open
While multi-axis 3D printing can align continuous fibers along principal stresses in continuous fiber-reinforced thermoplastic (CFRTP) composites to enhance mechanical strength, existing methods have difficulty generating toolpaths with hi…
View article: Simultaneous Topology Optimization of Differentiable and Non-Differentiable Objectives via Morphology Learning: Stiffness and Cell Growth on Scaffold
Simultaneous Topology Optimization of Differentiable and Non-Differentiable Objectives via Morphology Learning: Stiffness and Cell Growth on Scaffold Open
Topology optimization of microstructures plays a critical role in optimizing functional performance across diverse engineering applications. While metamaterials with enhanced mechanical properties -- such as hyperelasticity, energy absorpt…
View article: Co-Optimization of Tool Orientations, Kinematic Redundancy, and Waypoint Timing for Robot-Assisted Manufacturing
Co-Optimization of Tool Orientations, Kinematic Redundancy, and Waypoint Timing for Robot-Assisted Manufacturing Open
In this paper, we present a concurrent and scalable trajectory optimization method to improve the quality of robot-assisted manufacturing. Our method simultaneously optimizes tool orientations, kinematic redundancy, and waypoint timing on …
View article: Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures
Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures Open
Joint injuries, and their long-term consequences, present a substantial global health burden. Wearable prophylactic braces are an attractive potential solution to reduce the incidence of joint injuries by limiting joint movements that are …
View article: Learning Based Toolpath Planner on Diverse Graphs for 3D Printing
Learning Based Toolpath Planner on Diverse Graphs for 3D Printing Open
This paper presents a learning based planner for computing optimized 3D printing toolpaths on prescribed graphs, the challenges of which include the varying graph structures on different models and the large scale of nodes & edges on a gra…
View article: Neural Slicer for Multi-Axis 3D Printing
Neural Slicer for Multi-Axis 3D Printing Open
We introduce a novel neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with diverse representations and intricate topology. The approach invo…
View article: Computer-controlled 3D freeform surface weaving
Computer-controlled 3D freeform surface weaving Open
In this paper, we present a new computer-controlled weaving technology that enables the fabrication of woven structures in the shape of given 3D surfaces by using threads in non-traditional materials with high bending-stiffness, allowing f…
View article: Function based sim-to-real learning for shape control of deformable free-form surfaces
Function based sim-to-real learning for shape control of deformable free-form surfaces Open
For the shape control of deformable free-form surfaces, simulation plays a crucial role in establishing the mapping between the actuation parameters and the deformed shapes. The differentiation of this forward kinematic mapping is usually …
View article: Neural Slicer for Multi-Axis 3D Printing
Neural Slicer for Multi-Axis 3D Printing Open
We introduce a novel neural network-based computational pipeline as a representation-agnostic slicer for multi-axis 3D printing. This advanced slicer can work on models with diverse representations and intricate topology. The approach invo…
View article: Physics-Aware Iterative Learning and Prediction of Saliency Map for Bimanual Grasp Planning
Physics-Aware Iterative Learning and Prediction of Saliency Map for Bimanual Grasp Planning Open
Learning the skill of human bimanual grasping can extend the capabilities of robotic systems when grasping large or heavy objects. However, it requires a much larger search space for grasp points than single-hand grasping and numerous bima…
View article: Computer-Controlled 3D Freeform Surface Weaving
Computer-Controlled 3D Freeform Surface Weaving Open
In this paper, we present a new computer-controlled weaving technology that enables the fabrication of woven structures in the shape of given 3D surfaces by using threads in non-traditional materials with high bending-stiffness, allowing f…
View article: Exceptional Mechanical Performance by Spatial Printing with Continuous Fiber: Curved Slicing, Toolpath Generation and Physical Verification
Exceptional Mechanical Performance by Spatial Printing with Continuous Fiber: Curved Slicing, Toolpath Generation and Physical Verification Open
This work explores a spatial printing method to fabricate continuous fiber-reinforced thermoplastic composites (CFRTPCs), which can achieve exceptional mechanical performance. For models giving complex 3D stress distribution under loads, t…
View article: Spring-IMU Fusion-Based Proprioception for Feedback Control of Soft Manipulators
Spring-IMU Fusion-Based Proprioception for Feedback Control of Soft Manipulators Open
This article presents a novel framework to realize proprioception and closed-loop control for soft manipulators. Deformations with large elongation and large bending can be precisely predicted using geometry-based sensor signals obtained f…
View article: Spring-IMU Fusion Based Proprioception for Feedback Control of Soft Manipulators
Spring-IMU Fusion Based Proprioception for Feedback Control of Soft Manipulators Open
This paper presents a novel framework to realize proprioception and closed-loop control for soft manipulators. Deformations with large elongation and large bending can be precisely predicted using geometry-based sensor signals obtained fro…