A5061515579- Modular Robots and Swarm Intelligence
- Advanced Materials and Mechanics
- 3D Surveying and Cultural Heritage
- 3D Shape Modeling and Analysis
- Soft Robotics and Applications
- Archaeological and Geological Studies
- Building Energy and Comfort Optimization
- Computer Graphics and Visualization Techniques
- Architecture and Computational Design
- Opportunistic and Delay-Tolerant Networks
- Underwater Vehicles and Communication Systems
- Biomimetic flight and propulsion mechanisms
- Cellular Automata and Applications
- Geomagnetism and Paleomagnetism Studies
- Parallel Computing and Optimization Techniques
- Optimization and Search Problems
- Micro and Nano Robotics
- Interactive and Immersive Displays
- Advanced Data Storage Technologies
- Ferroelectric and Negative Capacitance Devices
- Advanced Manufacturing and Logistics Optimization
- Generative Adversarial Networks and Image Synthesis
- IoT and Edge/Fog Computing
- Innovations in Concrete and Construction Materials
- Additive Manufacturing and 3D Printing Technologies
MIT-Harvard Center for Ultracold Atoms
2019-2025
Massachusetts Institute of Technology
2019-2024
We present a material–robot system consisting of mobile robots that can assemble discrete cellular structures. detail the manufacturing cuboctahedral unit cells, termed voxels, which passively connect to neighboring voxels with magnets. then describe "relative" locomote on, transport, and place voxels. These are designed relative in coordination structure—the geometry voxel informs robot's global geometric configuration, local mechanisms, end effectors, robotic assembly features into control...
Abstract Modular robotic systems built of reconfigurable components offer an efficient and versatile alternative to traditional monolithic robots. However, as modular scale up, construction efficiency is compromised due increase in travel time path planning complexity. Here we introduce a discrete material-robot system that capable serial, recursive (making more robots), hierarchical larger robots) assembly. This accomplished by discretizing the into feedstock simple primitive building...
In this study, we present a method to construct meter-scale deformable structures for underwater robotic applications by discretely assembling mechanical metamaterials. We address the challenge of scaling up nature-like while remaining structurally efficient combining rigid and compliant facets form custom unit cells that assemble into lattices. The generate controlled local anisotropies architect global deformation structure. resulting flexibility allows better unsteady flow control enables...
With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend apply edits models globally, which risks compromising the intended functionality of model when fabricated physical world. For example, modifying functional segments models, such as base a vase, could break original model, thus causing vase fall over. We introduce method for segmenting into and aesthetic elements. This allows users selectively modify without...
We consider recognition and reconfiguration of lattice-based cellular structures by very simple robots with only basic functionality. The underlying motivation is the construction modification space facilities enormous dimensions, where combination new materials extremely promises previously unthinkable size flexibility; this also closely related to newly emerging field programmable matter. Aiming for large-scale scalability, both in terms number components a structure, as well that are...
Assembly of large scale structural systems in space is understood as critical to serving applications that cannot be deployed from a single launch. Recent literature proposes the use discrete modular structures for in-space assembly and relatively small robotics are able modify traverse structure. This paper addresses algorithmic problems scaling reconfigurable built through robotic construction, where reconfiguration defined problem transforming an initial structure into different goal...
This paper proposes a blockchain-based mapping protocol for distributed robotic systems running on embedded hardware. was developed system designed to locomote lattice structures space applications. A consensus mechanism, Proof of Validity, is introduced allow the effort mining blocks correlate with desired tasks for. These robots communicate using peer-to-peer LoRa radio. Options, trade-offs and considerations implementing blockchain technology an wireless radio communication are explored discussed.
We introduce DICE (Discrete Integrated Circuit Electronics). Rather than separately develop chips, packages, boards, blades, and systems, spans these scales in a direct-write process with the three-dimensional assembly of computational building blocks. present parts, discuss their assembly, programming, design workflow, illustrate applications machine learning high performance computing, project performance.
With recent advances in Generative AI, it is becoming easier to automatically manipulate 3D models. However, current methods tend apply edits models globally, which risks compromising the intended functionality of model when fabricated physical world. For example, modifying functional segments models, such as base a vase, could break original model, thus causing vase fall over. We introduce Style2Fab, system for segmenting into and aesthetic elements, selectively segments, without affecting...
In this video, we consider recognition and reconfiguration of lattice-based cellular structures by very simple robots with only basic functionality. The underlying motivation is the construction modification space facilities enormous dimensions, where combination new materials extremely promises previously unthinkable size flexibility. We present algorithmic methods that are able to detect reconfigure arbitrary polyominoes, based on finite-state robots, while also preserving connectivity a...