Path planning from STL (Signal Temporal Logic) specifications
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Updated
Nov 16, 2022 - Python
Path planning from STL (Signal Temporal Logic) specifications
A library for efficiently working with Signal Temporal Logic (STL) and its quantitative semantics. Has Python bindings!
[RA-L/ICRA2025] Official implementation for paper "Diverse Controllable Diffusion Policy with Signal Temporal Logic."
Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning
An Efficient Convex Optimization-based Framework for Signal Temporal Logic (STL) Specifications
[RA-L/ICRA2024] A differentiable robot learning framework for task specifications and controller synthesis.
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Runtime Verification library of Signal Temporal Logic specifications
Differentiable Symbolic Specification
[RA-L2024/ICRA2025] Official implementation for paper "Diverse Controllable Diffusion Policy with Signal Temporal Logic."
Scaling Safe Multi-Agent Control for Signal Temporal Logic Specifications [CoRL 2024]
Splitting signal temporal logic (STL) specifications in time
[RA-L2023/ICRA2024] A differentiable robot learning framework for task specifications and controller synthesis.
This is the official repository for the Evolutionary Computation paper "BUSTLE: a Versatile Tool for the Evolutionary Learning of STL Specifications from Data".
This is the official repository for the Applied Sciences paper "Mining Road Traffic Rules with Signal Temporal Logic and Grammatical Evolution".
Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications
SAFIRL: Shielded RL with CBF/MPC on Franka-MuJoCo - reproducible training/evaluation, STL-based verification, benchmarks, Docker/CI.
In this repository you can find the code necessary for the required exercise on learning STL formulae.
Synthesizing a trace that satisfies a given STL formula [CAV'24]
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