6.3.3 Dynamic exploration environments
نویسندگان
چکیده
Introduction: exploration environments In many scientific computing problems, the complexity of both the simulation and the generated data is too vast to analyze analytically or numerically. For these situations, exploration environments provide essential methods to present and explore the data in a way that allows a researcher to comprehend the information it contains. Exploration environments combine presentation and interaction functions into one system to allow exploration of large data spaces. These data spaces may originate from data acquisition devices or represent results from computer simulations. In our research we discriminate between static and dynamic exploration environments.
منابع مشابه
Autonomous Multi-Robot Exploration in Communication-Limited Environments
Teams of communicating robots are likely to be used for a wide range of applications in the near future, such as robotic search and rescue or robotic exploration of hostile and remote environments. In such scenarios, environments are likely to contain significant interference and multi-robot systems must be able to cope with loss of communication. We propose a novel multi-robot exploration appr...
متن کاملCubicalPath - Dynamic Potential Fields for Guided Exploration in Virtual Environments
Exploring unknown models or scenes is a highly interactive and dynamic process. Systems for automatic presentation of models or scenes either require cinematographic rules, direct human interaction, framesets or precalculation of paths to a known goal. We are looking for a system which can deal with rapidly changing user interest in objects of a scene or model as well as with dynamic models and...
متن کاملSpatio-temporal exploration strategies for long-term autonomy of mobile robots
We present a study of spatio-temporal environment representations and exploration strategies for long-term deployment of mobile robots in real-world, dynamic environments. We propose a new concept for life-long mobile robot spatio-temporal exploration that aims at building, updating and maintaining the environment model during the long-term deployment. The addition of the temporal dimension to ...
متن کاملCollaborative Evolutionary Planning Framework (EPF) for Route Planning
This research presents a collaborative evolutionary planning framework for large scale grid exploration and planning problems. It caters for both dynamic and unknown environments using evolutionary techniques. In addition, we integrate the exploration and planning process in a unified framework using multi agent system. As a proof of success, we have developed extensive simulations with realist...
متن کاملExploration and Model Building in Mobile Robot Domains
I present first results on COLUMBUS, an autonomous mobile robot. COLUMBUS operates in initially unknown, structured environments. Its task is to explore and model the environment efficiently while avoiding collisions with obstacles. COLUMBUS uses an instance-based learning technique for modeling its environment. Real-world experiences are generalized via two artificial neural networks that enco...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2002