IsaacSkill是由NVIDIA Isaac Lab平台支持构建的高保真机器人操作技能数据集，专注于基础技能的多任务覆盖与仿真到现实的迁移评估。该数据集包含丰富的物体操作任务，通过高精度仿真环境捕捉任务动态特性，旨在解决传统数据集在技能粒度评估方面的不足。其数据来源基于模块化设计的技能演示，支持对抓取、放置、倾倒等核心技能的独立分析，为机器人泛化能力研究提供标准化测试基准。
This data set is for running simulation for NDN and mostly on my CCndnS caching policy. some data for random and popularity based caching policies are provided as well. The name of the folders indicat
This dataset contains simulation results for evaluating the performance of a caching strategy (CBC) in Named Data Networking (NDN) using ndnSIM 2.9. The experiments were conducted on Ubuntu 20.04 with
A listening test was conducted to determine how well auralizations of aircraft match with recordings of aircraft. This dataset contains the results of the listening test.
