Titlebook: Simulation, Modeling, and Programming for Autonomous Robots; Second International Noriaki Ando,Stephen Balakirsky,Oskar Stryk Conference pr

Ringworm

淘气

Simulation and Evaluation of Mixed-Mode Environments: Towards Higher Quality of Simulationsuation of the algorithms and protocols developed for such environments before deployment is vital. However, there is a lack of realistic testbeds for MMEs due to reasons such as high costs for their setup and maintenance. Hence, simulation platforms are usually the tool of choice when testing algori

A简洁的

cushion

难管

冰河期

Native Robot Software Framework Inter-operationctural flexibility. While previous methods of structuring software led to monolithic robot software incapable of easily using multiple architectures, the component-based approach, combined with some suitable software engineering decisions, opens new possibilities for interaction amongst architecture

Atmosphere

Conference proceedings 2010le - day despite the tremendous progress in robotics science and systems achieved during the last decades? Unfortunately, steady improvements in speci?c robot abilities and robot hardware have not been matched by corresponding robot performance in real world environments. This is mainly due to the l

NAG

High Fidelity Sensor Simulations for the Virtual Autonomous Navigation Environmentctronic) and external (environment) noise in order to produce a sensor output that closely matches that produced in real-world environments. This sensor output will allow roboticists to use simulation further into the development and debugging process before exposing robots to field conditions.

Chronological

Evaluating a Physics Engine as an Ingredient for Physical Reasoningeliminary step, we study, how accurately the process of pushing flat objects across a table with a robot arm can be predicted in a physics engine. We also present an approach to adapt the engines parameters to enhance the simulation accuracy.

Provenance

The Modelica Object-Oriented Equation-Based Language and Its OpenModelica Environment with MetaModelfor modeling, simulation, and development of Modelica applications. Special features are MetaModeling for efficient model transformations and prototype generation of parallel code for multi-core architectures. Ongoing work also include UML-Modelica integration and interoperability support through the new FMI standard.