1,281 research outputs found
Menges - Franklin Menges
No full textB.S.; Ph.D., 1888; Sc.D., 1927; entered junior class; Alpha Tau Omega. Born Oct. 26, 1859. Menges Mills. Instructor, Gettysburg College, 1886-96; head of science dept., York H.S., 1897-1903; farmer's institute lecturer for Pa. Dept. of Agriculture, 1903-20; installed and had charge of the Pa. agriculture exhibit at the Louisiana Purchase Exhibition, St. Louis, Mo., 1904; made a large series of analyses of the poisons used for the destruction of insects of the soils; U.S. Congressman, 1925-31; in business, York, 1931- . Author of a two vol. work on a soil survey of Pa. Married Oct. 26, 1897, Mary McIlhenny, Gettysburg. Children: Mary S., b. Dec. 22, 1898; Janet E., b. March 7, 1901; Frances L., b. July 31, 1906; Jessie May, b. July 15, 1910, d. Nov. 3, 1914. Address: R.D. #1, York. Handwritten on back: ""Your friend & classmate, Franklin Menges, Menges Mills, York Co., Pa., June 21st. 1886"
Robotic Plans for the Assembly of A Large-Scale In-Plane Timber Prototype with a Collective Robotic Construction System
No full textThis data set contains the robotic plans for the assembly of a large-scale in-plane timber prototype with a collective robotic construction (CRC) system published in Automation in Construction (Leder, S., Kim, H., Sitti, M., Menges, A.: 2024, Enhanced Co-Design and Evaluation of a Collective Robotic Construction System for the Assembly of Large-Scale In-Plane Timber Structures. Automation in Construction, Vol. 162, 105390. DOI: 10.1016/j.autcon.2024.105390). The assembly was made from a modular CRC system composed of robotic actuators and timber structs, more information on the system can be found in the paper. The prototype was assembled using four robotic actuators composed into two kinematic chains, each connected with a single timber strut.
The data set contains 19 robotic plans in JSON file format. Each plan or JSON file correlate to one of the 19 timber struts that were placed into the structure. Each plan contains information on the robotic actuators and timber struts within the scene as JSON Objects. Within each JSON Object, the position and location of part of the CRC system is described with different amounts of keyframes. The keyframes represent moments in the assembly process when at least one robotic actuator in the scene opens or closes its gripper.
Timber struts, identified with the key:value pair "frame_name": "s0" as one example, contain information on the position and orientation of the strut. Robotic actuator information is split into four JSON Objects: one for the top body ("frame_name": "b0_0_body_t"), one for the axis of the robot ("frame_name": "b0_0_joint_f"), one for the bottom body ("frame_name": "b0_0_body_b"), and one for rotation ("b0_0_rotation"). The examples key:value pairs are given for Robot0. The first three contain the position and orientation and the state of the gripper in the case of the bottom body. The rotation JSON Objects indicated how much the robotic actuator needs to rotate around its axis to get to that position.
The plans were generated using the agent-based model described in a paper in Journal of Computational Design and Engineering (Leder, S., Menges, A.: 2024, Merging Architectural Design and Robotic Planning Using Interactive Agent-based Modelling for Collective Robotic Construction. Journal of Computational Design and Engineering, Vol. 11, No. 2, pp. 253-268. DOI: 10.1093/jcde/qwae028 ).
The plans can be used to simulate or execute the assembly process using the digital twin developed for the CRC system as published in another dataset (Leder, S., Kubail Kalousdian, N., Menges, A.: 2025, Digital Twin for a Modular Collective Robotic Construction System, https://doi.org/10.18419/DARUS-4761, DaRUS)
Digital Twin for a Modular Collective Robotic Construction System
No full textThis dataset contains the digital twin developed for a Collective Robotic Construction (CRC) system, as published in Advanced Science (Leder, S., Kim, H., Oguz, O.S., Kalousdian, N.K., Hartmann, V.N., Menges, A., Toussaint, M., Sitti, M.: 2022, Leveraging Building Material as Part of the In-Plane Robotic Kinematic System for Collective Construction. Advanced Science, 2201524. DOI: 10.1002/advs.202201524).
In this version, the digital twin allows robotic plans in .JSON format to be loaded (Load Plan), and either simulated without the physical CRC system or executed in real time. In both modes, plans can be played through continuously or stepped through action by action. During simulation, users can control the playback speed (Speed), allowing the simulation to run faster than real-world robot operation.
In real-time execution mode (Actuate Real Motors), communication with the robots occurs via serial communication over Bluetooth. The construction process is monitored using an external motion capture system. Implementations for both Vicon and OptiTrack are included in the digital twin. Data captured from the motion tracking system can be used for position correction (Position Correction) at each step of the robotic plan, if desired.
Additionally, the robots in the CRC system can be manually controlled. Within the interface, users can rotate the main axis of each robot, open and close the top and bottom grippers, and control the tongue within the gripper. These controls are available for each deployed robot and are accompanied by visualizations of both the real-time robot positions and their expected positions based on the robotic plans.
The digital twin relies on external code based for some functionalities. Included in the dataset is a therefore README, which provides setup instructions, dependency guidelines, and licensing information
ChemInform Abstract: Synthesis of a Butyrolactone Precursor of an Algae Nonaether from an Enantiopure Glycol Obtained by Hoppe′s Chemistry.
No full textABxM.DistributedRobotics.RADr: Agent-based Design and Control of multiple Roaming Autonomous Distributed robots (RADr)
No full textABxM.DistributedRobotics.RADr is an add-on to ABxM.Core for agent-based design and control of multiple Roaming Autonomous Distributed robots (RADr) that assemble hexagonal digital materials. The add-on contains various agent system constructs and utilities for simulation of the swarm within Rhino/Grasshopper and control of physical swarm of wheeled mobile robots. This version contains the tools for MQTT communication between Rhino/Grasshopper and the robots as well as between Rhino/Grasshopper and Motive, the software from Optitrack a motion capture system that can be utilized to track the robots. MQTT is a standard messaging protocol for the Internet of Things (IoT).The package includes two example files:
01_Example_CollaborativeCarrying.gh: Simulates a swarm of robots that must collaborate to move the digital material
02_Example_PaintedDesert.gh: Simulates the sorting of digital material by color. </li
ABxM.DistributedRobotics.RP19: Agent-Based Models for a Modular Collective Robotic Construction System
No full textABxM.DistributedRobotics.RP19 is an add-on to ABxM.Core for agent-based modelling of a collective robotic construction (CRC) system developed in the context of Research Project 19-1 (RP19-1) "Leveraging The Building Material As Part Of The Robotic Kinematic System For Parallel Construction" from the Cluster of Excellence Integrative Computational Design and Construction for Architecture (IntCDC). The add-on contains three agent constructs which revolve around the agent representing the building material or the mobile robots in the modelled CRC system. The agent constructs of BuildingMaterialAgent or MobileRobotAgent are utlized for the sole purpose of architectural design while the agent construct of KCAgent can be used to also robotically plan the structure. The first two constructs are discussed in the paper:
Leder, S., Menges, A. (2023). Introducing Agent-Based Modeling Methods for Designing Architectural Structures with Multiple Mobile Robotic Systems. In: Gengnagel, C., Baverel, O., Betti, G., Popescu, M., Thomsen, M.R., Wurm, J. (eds) Towards Radical Regeneration. DMS 2022. Springer, Cham. (DOI: 10.1007/978-3-031-13249-0_7).
And the other construct is discussed in the paper:
Leder, S., Menges, A.: 2024, Merging architectural design and robotic planning using interactive agent-based modelling for collective robotic construction. Journal of Computational Design and Engineering, Vol. 11, pp. 253-268. (DOI: 10.1093/jcde/qwae028).
The package includes examples files to be to be used within Rhino/Grasshopper that demonstrate implementations of each agent type
ABxM.MultiStorey.Columns: Agent-based Column Arrangement for Multi-Storey Structures
No full textABxM.MultiStorey.Columns is an add-on for the agent-based design and arrangement of columns in multi-storey, point-supported structures. The add-on contains various agent system constructs and utilities for column arrangement and is intended to be used within Rhino/Grasshopper. This version contains tools for the autonomous self-organisation of point-wise structural supports. The package includes example files that demonstrate how a model of an agent-based floor can arrange its own columns and exclude them from certain areas of the slab.
The database contains the source code for the ABxM.MultiStorey.Columns add-on to the ABxM Framework. By opening the ICL.sln solution in the Visual Studio IDE, both the ICL.Core and ICL.GH projects can be compiled to generate a grasshopper plugin for the add-in. The add-in contains three specialsied behaviours and a custom agent system, which are to be used in conjunction with the canonical ABxM Cartesian Agents and Cartesian Environment objects. Example file, in the form of a Rhino 3D BasePlan and a grasshopper script implementing the add-in are provided in the “data” folder
Priming trait inferences through pictures and moving pictures: The impact of open and closed mindsets
No full textFiedler K, Schenck W, Watling M, Menges JI. Priming trait inferences through pictures and moving pictures: The impact of open and closed mindsets. Journal of Personality and Social Psychology. 2005;88(2):229-244
Synthesis of (4S)-tertbutyl-2(3-diphenylphosphinothiophene-2-yl)-4,5-dihydrooxazole
No full textAmong the various P,N ligands that were investifìgated, heterocyclic phosphino oxazoline derived from thiophene were shown to be highly versatile ligand, easily accessible in two steps from commerciallyt available starting materials
Timber Column Slab Solver
No full textThis dataset contains an agent-based exploration of the design space for modular slab and column systems. The primary objective is to equip designers with the ability to pinpoint structural configurations that adhere to Serviceability Limit State (SLS) deflection criteria from the beginning of the design process. The methods represent an innovative design methodology aimed at discovering configurations that minimize environmental impact through strategic column-slab positioning and dimensioning, all while satisfying SLS deflection standards. To facilitate this approach, a guidance-based real-time Finite Element Analysis (FEA) feedback design tool has been developed, allowing for the empirical validation of the proposed method.
The database contains the source code for the ICL plugin, built on top of the ABxM Framework. By opening the ICL.sln solution in the Visual Studio IDE, both the ICL.Core and ICL.GH projects can be compiled to generate a grasshopper plugin. The ICL plugin can then be used in conjunction with the ABxM canonical example files to create agents, give them behaviours, combine them into an agent system, assign it an environment, and finally run the simulation using the ICL Solver. Example files are provided in the “data” folder
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