CRANE is a Robot Motion Control suite for Grasshopper, the parametric modeling plugin for Rhino. It was developed by Brian Harms in 2012 and has since been tailored to operate in the Robot House at the Southern California Institute of Architecture [SCI-Arc].
CRANE provides custom IK solving, visualization and diagnostic information, and one-click file generation for Staubli articulated robot arms.
This robot is an excellent reason why you should never, ever pretend to be a tree
The reason why a pruning robot is actually a really good and important idea is that climbing trees and then holding on with one hand (or no hands) while sawing big heavy bits of them off is rather incredibly dangerous, with injury rates about 10 times that of working in a factory. This teleoperated robot means that you can stand very, very far away while the pruning gets done, and the 'bot seems to do quite a good job, able to climb up and down trees with no trouble while cutting branches off in a spiral motion.
The Hahn HFP160 Firewood Pro Skidsteer Firewood Processor is just one of the many machines designed to turn trees into firewood at maximum speed. These ever-hungry metal monsters are the Four Horseman of the Industrial Apocalypse incarnated.
Captives is an ongoing series of digital and physical sculptures, a contemporary interpretation of Michelangelo’s unfinished series “Prigioni” (1513-1534) and his technique of “non-finito”.
The work explores the tension and equilibrium between form and matter, man-made objects of perfection and complex, chaotic forms of nature. Whilst referencing Renaissance sculptures, the focus of this series shifts from pure figurative representation to the articulation of matter itself. As in the original “Prigioni” the classic figures are left unfinished, documenting the very history of their creation and transformation.
Mathematical functions and processes describe computer-generated geological formations that evolve endlessly, morphing into classical figures. Industrial computer-controlled robots sculpt the resulting geometries into life-size “unfinished” sculptures.
Research directed by Alisa Andrasek with Daghan Cam and Maj Plemenitas// Keywords: simulation / computational physics / multi-agent systems / robotics / material…
SYNTHETIC CONSTRUCTABILITY research is exploring the potential of robotic construction coupled with the computational physics and simulation to innovate in the domain of construction and novel performance capacities and material expressions _ exploring potential of increased resolution Fabric of Architecture.
Vessels is a robotic installation consisting of large groups of autonomous water vehicles. With roughly 50 individuals in a population, the robotic agents interact with each other and their environment to form a simple ecosystem. Their collective, emergent behaviour resembles the social interactions in a community of living creatures. Observers may empathize with the robots’ behaviours, ascribe intentions and motivations to their actions, and/or draw correlations between the group dynamic and unseen characteristics of their milieu.
"Two biologically-inspired approaches to machine learning are implemented in this work; Artificial Neural Networks (ANN), which model the development of neural pathways in the brain; and Genetic Programming (GP), which allows a population of computer programs to evolve through natural selection. Both methods are applied in the context of Reinforcement Learning (RL), which implies that agents learn through interactions with their environment. That is, they perform an action in the environment, receive some kind of feedback or reward, and adjust their behaviour slightly before performing another action. (Sutton and Barto, 1998) Over an extended process of trial and error, RL makes it possible for computers to do things that they were not explicitly programmed to do. A goal of Vessels is to frame this learning process as an observable component of the art work."
Το REX-Lab του πανεπιστήμιου του Ίνσμπρουκ υπό την καθοδήγηση του αρχιτέκτονα και ακαδημαϊκού Marjan Colletti, συμμετείχε στο πρόσφατο συνέδριο του Smart Geometry 2013 – Constructing for Uncertainty το οποίο έλαβε χώρα στο Λονδίνο τον προηγούμενο...
Software that adapts to uncertainty coordinates multiple robots to cooperate on tasks
Because if there's one thing that we can absolutelyrely on when it comes to robotics, is that things will never, ever work the way that they're supposed to, so if we ever hope to get them to reliably do anything, algorithms like this are going to be critical.
“It is a large collaboration with several research institutes. At ETH alone, scientists from the departments of architecture, IT, electrical engineering, mechanical engineering and process engineering, and civil, environmental and geomatic engineering are involved. All these disciplines have a different understanding of research. One of the key challenges will be to synthesize these approaches and arrive at innovative methods and results together.”
Inspired by termites’ resilience and collective intelligence, a team of computer scientists and engineers at the Harvard School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering at Harvard University has created an autonomous robotic construction crew. The system needs no supervisor, just simple robots that cooperate.
Look into the eyes of any fully rendered robot, and you'll see something of its human creator staring back at you. Robots can succeed where humans fail, continue when we get tired, and symbolise the potential of our future.
A moving piece of architecture by William Bondin, a recent graduate from the Bartlett's Graduate Architectural Design (GAD) programme, has been featured in Wired Magazine.
Bondin's tetrahedron structure, Morphs (Mobile Reconfigurable Polyhedra), has been created to respond to both you and its surroundings. It examines how we can create playful, responsive architecture that does more than just sit in a fixed position.
The crawling, geometric structures is inspired by the slime mold physarum polycephalum, an organism whose cognitive processes is based on its surrounding environment as opposed to being contained in a centralised brain like humans. See it in action below.
FABBOTS research agenda is based on the following principles:
We will not assemble different materials; instead we will code devices to generate multi-material complex matter formations that have variable physical properties. Programming matter will give us the ability to construct architectural components that are multi-functional and optimized.
We will not fabricate using conventional CNC tools in a lab; instead we will customize our own programmable devices and propose alternative fabrication processes that can be deployed on site. In this scenario, we shall pay special attention to our environment and explore how these devices may be powered by renewable energies and/or use locally available materials. Our devices, rather than follow pre-established instructions, will have the ability to sense varying conditions and adapt to change responding accordingly.
We will not depart from a given design and follow file-to-factory methods; designs will emerge from codes that account for material behavior and machinic logics, and be constantly actualized with real-time fabrication data extracted from artificial vision tools. The resulting construction will merge both the original source code, and the necessary adjustments to the forces that may have affected the process of fabrication.
Our designs will not be pre-conceived and modeled upfront; instead design will emerge from computational methods for optimization, considering evolutionary principles. We will virtually simulate material and machinic behavior, to understand the optimal conditions by which a design may emerge from our customized process of formation.
Our inventions ought to be available to many; they must be user-friendly, easy and cheap to reproduce in several places of our planet, so we can promote their application in communities that have limited access to education and technology.
Our work will benefit others. During our research, we will communicate our progress on the web, as a way to disseminate our findings and stimulate crowd innovation.
MATAERIAL – a brand new method of additive manufacturing. This patent-pending method allows for creating 3D objects on any given working surface independently of its inclination and smoothness, and without a need of additional support structures. Conventional methods of additive manufacturing have been affected both by gravity and printing environment: creation of 3D objects on irregular, or non-horizontal surfaces has so far been treated as impossible . By using innovative extrusion technology we are now able to neutralize the effect of gravity during the course of the printing process. This method gives us a flexibility to create truly natural objects by making 3D curves instead of 2D layers. Unlike 2D layers that are ignorant to the structure of the object, the 3D curves can follow exact stress lines of a custom shape. Finally, our new out of the box printing method can help manufacture structures of almost any size and shape.