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
Online Signal Temporal Logic (STL) Monte-Carlo Tree Search for Guided Imitation Learning
[RA-L/ICRA2025] Official implementation for paper "Diverse Controllable Diffusion Policy with Signal Temporal Logic."
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.
Differentiable Symbolic Specification
[RA-L2023/ICRA2024] A differentiable robot learning framework for task specifications and controller synthesis.
Splitting signal temporal logic (STL) specifications in time
Synthesizing a trace that satisfies a given STL formula [CAV'24]
[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]
Cyber-Physical Sysems course Exam: PID, Reinforcement Learning and Temporal Logic
Model predictive control (MPC) for a stochastic linear system with runtime signal temporal logic (STL) specifications
Lightweight Python package for doing operations concerning Assume-Guarantee (A/G) Contracts and parsing, deriving constraints from, and solving Signal Temporal Logic. Built at DesCyPhy Lab, USC
Intention-aware control using stochastic expansion methods
A risk-aware framework for Task Allocation among Stochastic Multi-Agent Systems
Quantitative predicative monitoring and adaptive control based on Signal Temporal Logic with uncertainty in Cyber-Physical-System
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