A reconfigurable interactive interface for controlling robotic origami in virtual environments

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Elastic gridshells are a class of planar-to-3D linkages typically composed of straight flexible beams connected via rigid rotational joints. The integration of planar curved flexible beams into these linkages significantly broadens their design space, allo ...

In spatial timber assemblies, a multitude of factors can lead to errors that hinder the implementation of complete automation including but not limited to inaccuracies of the robotic setup, deformations of the structures during assembly, or the natural dim ...

Model-based reinforcement learning for robot control offers the advantages of overcoming concerns on data collection and iterative processes for policy improvement in model-free methods. However, both methods use exploration strategy relying on heuristics ...

The term 'brain-computer interface' (BCI) is widely used. However, even among experts, its meaning can sometimes be unclear 1-3. Lack of clarity from the term has real-world implications: it can muddle regulatory guidelines, it may confuse investors, it ca ...

The digitization of timber construction, the emergence of engineered wood products, and the urgent need to drastically reduce buildings' environmental impact have given a rebirth to wood as a construction material. On the one hand, increasing the use of ti ...

Situated in the intersection of audiovisual archives, computational methods, and immersive interactions, this work probes the increasingly important accessibility issues from a two-fold approach. Firstly, the work proposes an ontological data model to hand ...

In this thesis, we concentrate on advancing high-level behavioral control policies for robotic systems within the framework of Dynamical Systems (DS). Throughout the course of this research, a unifying thread weaving through diverse fields emerges, and tha ...

Computer simulations are often used as support material for science education, as they can engage students through inquiry-based learning, promote their active interaction in the experimentation phase, and help them visualize abstract concepts. For instanc ...

Achieving reactive robot behavior in complex dynamic environments is still challenging as it relies on being able to solve trajectory optimization problems quickly enough, such that we can replan the future motion at frequencies which are sufficiently high ...

As the field of ethology advances, especially over the past two decades, the role of animal-robot interaction tools has increasingly become essential. This importance arises from the need for controlled, repetitive, repeatable, and long-duration experiment ...

Designing novel materials is greatly dependent on understanding the design principles, physical mechanisms, and modeling methods of material microstructures, requiring experienced designers with expertise and several rounds of trial and error. Although rec ...

A reconfigurable interactive interface for controlling robotic origami in virtual environments

Chattez avec Graph Search

Interactive Design of C-shells Using Reduced Parametric Families

Assembly of Spaceframes in Hybrid Teams: Adaptive Digital Fabrication Workflows for Human-Robot Collaboration

Exploration-based model learning with self-attention for risk-sensitive robot control

An application-based taxonomy for brain–computer interfaces

Robotic Assembly of Integrally-Attached Timber Plate Structures: From Computational Design to Automated Construction

Encoding and Decoding Narratives: Datafication and Alternative Access Models for Audiovisual Archives

Geometric Learning: Leveraging differential geometry for learning and control

Teacher-Mediated and Student-Led Interaction with a Physics Simulation: Effects on the Learning Experience

VP-STO: Via-point-based Stochastic Trajectory Optimization for Reactive Robot Behavior

Challenges and approaches in bridging the biomimicry gap in biohybrid systems of fish and robots

Text-to-Microstructure Generation Using Generative Deep Learning