Python package for the evaluation of odometry and SLAM
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Updated
Jun 24, 2026 - Python
Python package for the evaluation of odometry and SLAM
CLI-first QA toolkit for point clouds, trajectories, and 3D perception outputs.
Resources for SiTAR, a situated trajectory analysis system for AR which provides in-the-wild pose error estimates
Timestamp Align between the trajs. from VICON & Estimated from Algo.
Clinescope is an AI evaluation tool that lives in your Cline development workflow, reads your logs, and helps you write better prompts by checking tool choices, catching messy code rewrites, and ensuring updates don't break past work.
Clean public mirror for a biology tool-use trajectory benchmark with validated Stage A post-training artifacts
Sanity checks for using small VLM rerankers (Qwen3‑VL 2B) to score candidate driving trajectories from natural‑language instructions.
Evaluate SLAM trajectory accuracy against ground truth — APE, RPE, Umeyama alignment, and publication-ready plots. No ROS required.
6-DoF ego-motion estimation in CARLA using RGB-D visual odometry — ORB features, PnP-RANSAC, and ATE evaluation
End-to-end agent evaluation — trajectory eval, tool-use correctness, cost-per-task, latency budgets, regression suites with golden trajectories, LLM-as-judge with calibration. For full agent runs, not just classifiers.
A world model as a judge: early, auditable verdicts on partial robot-manipulation rollouts
🌟 Develop EvoToken-DLM, an innovative language model enhancing diffusion with soft token distributions for improved performance and flexibility.
Build OR optimization models with Openpangu-7B, supporting fine-tuning, automated modeling, constraint generation, and variable pruning
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