自主配送机器人 这是IvLabs的自动驾驶平台的第一个版本。 它是使用赛车级1/10 RC汽车的底盘建造的,可用于室外道路环境。 它具有其他传感器和组件,可实现自动驾驶应用的感知,定位,计划和控制。 该项目旨在在我们研究所( )校园内,通过避障实现A到B导航。 此仓库即将更新,包括安装和使用说明
2021-02-01 19:08:00 13.2MB arduino ros planning controls
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title={Graph-based path planning for autonomous robotic exploration in subterranean environments}, author={Dang, Tung and Mascarich, Frank and Khattak, Shehryar and Papachristos, Christos and Alexis, Kostas} 挪威科技大学论文:用于地下环境中自主机器人探索的基于图的路径规划
2021-02-01 15:32:38 1.41MB 路径规划 机器人
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海波龙预算Planning用户手册(中文)
2021-01-29 11:14:44 3.19MB Planning
horizon-architecture-planning-7.7架构规划指南
2021-01-28 03:30:47 1.11MB vmware horizon
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MS-200 Planning and Configuring a Messaging Platform 考试题,提供学习研究使用,提升对微软的产品的了解有帮助。
2021-01-28 02:35:12 1.76MB MS-200 Planning and Con
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Robotics, Modelling, Planning and Control.pdf
2020-12-19 18:48:31 8.71MB Robot
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# CRP Open source C++ Implementation of Customizable Route Planning (CRP) by Delling et al. This project was part of a practical course at Karlsruhe Institute of Technology (KIT). Requirements ============ In order to build CRP you need to have the following software installed: - Boost C++ Library (http://www.boost.org), more specifically Boost Iostreams. - Scons (http://scons.org) - g++ >= 4.8 (https://gcc.gnu.org) Building CRP ============ If the Boost Library is not in your PATH, make sure to edit the *SConstruct* file in the root directory to point the build script to the correct location of Boost. There is a section *Libraries* in the *SConstruct* file where you can specify the paths. Once you have installed all the software packages listed above, you can build the CRP programs by typing ``` scons --target=CRP --optimize=Opt -jX ``` into your terminal where `X` is the number of cores you want to use for building the project. If you want to use a specific g++ compiler version you can add `--compiler=g++-Version`. We also support a debug and profiling build that you can call with `--optimize=Dbg` and `--optimize=Pro` respectively. This command will build three programs in the folder *deploy*: - *osmparser*: Used to parse an OpenStreetMap (OSM) bz2-compressed map file. Call it with `./deploy/osmparser path_to_osm.bz2 path_to_output.graph.bz2` - *precalculation*: Used to build an overlay graph based on a given partition. Call it with `./deploy/precalculation path_to_graph path_to_mlp output_directory`. Here, *path_to_mlp* is the path to a *MultiLevelPartition* file for the graph that you need to provide. For more details, take a look into our project documentation. - *customization*: Used to precompute the metric weights for the overlay graph. Call it with `./deploy/customization path_to_graph path_to_overlay_graph metric_output_directory metric_type`. We currently support the following metric types: *hop* (number of edges traversed), *time* and *dist*.
2020-03-04 03:01:17 14.88MB CRP
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Customizable Route Planning(可定制最短路径) Daniel Delling, Andrew V. Goldberg, Thomas Pajor, and Renato F。本文讲诉了一种可以用任意度量计算欧陆公路网路最短路径的算法。该方法支持转向成本,实时查询,几秒钟融入一个新度量----较快地支持实时交通更新和个性化优化功能。
2020-02-25 03:17:08 239KB Customizable Route Planning
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This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial intelligence, algorithms, and computer graphics. The particular subjects covered include motion planning, discrete planning, planning under uncertainty, sensor-based planning, visibility, decision-theoretic planning, game theory, information spaces, reinforcement learning, nonlinear systems, trajectory planning, nonholonomic planning, and kinodynamic planning. "Motion planning is an important field of research with applications in such diverse terrains as robotics, molecular modeling, virtual environments, and games. Over the past two decades a huge number of techniques have been developed, all with their merits and shortcomings. The book by Steve LaValle gives an excellent overview of the current state of the art in the field. It should lie on the desk of everybody that is involved in motion planning research or the use of motion planning in applications." _ _ | | | | _ _ | | _____ ____ _____| | _| |_ ___ ____ ____ _____ ____ _| |_ ___ | || ___ |/ _ (____ | | (_ _) _ / ___) ___) ___ | _ (_ _)/___) | || ____( (_| / ___ | | | || |_| | | | | | ____| | | || |_|___ | _)_____)___ _____|_) __)___/|_| |_| |_____)_| |_| __|___/ (_____| -LEGAL TORRENTS Purpose: create a balance, share the already free stuff, public domain works, freeware, free music, free ebooks, articles, manifestos, movie trailers, and more. show the copyright owners that torrent websites shouldn't bear the responsibility of what their users upload, torrent websites are very much similar to google.. users upload what they want to upload, download what they want to download, and search for what they want to search.. by creating this balance and sharing the already free stuff, we hope to take the pressure of torrent websites.. _ _ | | | | _ _ | | _____ ____ _____| | _| |_ ___ ____ ____ _____ ____ _| |_ ___ | || ___ |/ _ (____ | | (_ _) _ / ___)
2020-02-25 03:07:41 13.14MB Robotics Planning Algorithms
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Incremental Sampling-based Algorithms for Optimal Motion Planning, Robotics
2020-02-11 03:01:31 2.33MB rrt*
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