xlang-ai/OSWorld
OSWorld is a benchmarking platform for evaluating multimodal AI agents performing open-ended tasks in real computer environments using virtual machines and various virtualization technologies.
Awesome AI Agents › Sensor Fusion Agents
Sensor Fusion Agents
IBM/AssetOpsBench
Open IBM framework and benchmark for building, orchestrating and evaluating domain-specific AI agents in industrial asset operations, with MCP servers over sensors, failure modes, time series and work orders.
web-arena-x/webarena
WebArena is a self-hostable web environment designed for building and evaluating autonomous agents capable of realistic web navigation and interaction tasks.
google-deepmind/android_env
AndroidEnv is a Python library by DeepMind that provides a Reinforcement Learning platform by simulating Android devices, enabling agents to interact with real-world Android applications through touchscreen gestures for diverse RL tasks.
google-research/android_world
AndroidWorld is a comprehensive environment and benchmark for autonomous agents to interact with and control Android devices through a live emulator, featuring diverse tasks and integration with web-based benchmarks.
karanchawla/GPS_IMU_Kalman_Filter
An Extended Kalman Filter implementation that fuses GPS, IMU, and encoder sensor data to accurately estimate the pose of a ground robot in a navigation frame.
OSU-NLP-Group/TravelPlanner
TravelPlanner is a benchmark for evaluating language agents in real-world travel planning tasks involving complex tool use and multiple constraints.
StonyBrookNLP/appworld
AppWorld is a high-fidelity execution environment simulating a world of apps and people to benchmark and evaluate interactive coding agents through diverse and challenging autonomous tasks.
nottelabs/open-operator-evals
Open-operator-evals is an open-source benchmarking framework that evaluates the performance of web operators and agents using multiple metrics and a reproducible dataset to provide transparent and statistically sound comparisons.