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04/30/2023
Model-free Motion Planning of Autonomous Agents for Complex Tasks in Partially Observable Environments
Motion planning of autonomous agents in partially known environments wit...
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04/03/2023
Efficient LQR-CBF-RRT*: Safe and Optimal Motion Planning
Control Barrier Functions (CBF) are a powerful tool for designing safety...
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10/04/2022
Learning Signal Temporal Logic through Neural Network for Interpretable Classification
Machine learning techniques using neural networks have achieved promisin...
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10/03/2022
Learning Minimally-Violating Continuous Control for Infeasible Linear Temporal Logic Specifications
This paper explores continuous-time control synthesis for target-driven ...
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09/15/2022
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
High-resolution representations are important for vision-based robotic g...
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01/28/2022
Overcoming Exploration: Deep Reinforcement Learning in Complex Environments from Temporal Logic Specifications
We present a Deep Reinforcement Learning (DRL) algorithm for a task-guid...
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12/28/2021
Time-Incremental Learning from Data Using Temporal Logics
Real-time and human-interpretable decision-making in cyber-physical syst...
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12/27/2021
Intelligent Traffic Light via Policy-based Deep Reinforcement Learning
Intelligent traffic lights in smart cities can optimally reduce traffic ...
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10/18/2021
Online Motion Planning with Soft Timed Temporal Logic in Dynamic and Unknown Environment
Motion planning of an autonomous system with high-level specifications h...
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09/07/2021
Safe-Critical Modular Deep Reinforcement Learning with Temporal Logic through Gaussian Processes and Control Barrier Functions
Reinforcement learning (RL) is a promising approach and has limited succ...
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02/24/2021
Modular Deep Reinforcement Learning for Continuous Motion Planning with Temporal Logic
This paper investigates the motion planning of autonomous dynamical syst...
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01/25/2021
Reinforcement Learning Based Temporal Logic Control with Soft Constraints Using Limit-deterministic Generalized Buchi Automata
This paper studies the control synthesis of motion planning subject to u...
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10/14/2020
Reinforcement Learning Based Temporal Logic Control with Maximum Probabilistic Satisfaction
This paper presents a model-free reinforcement learning (RL) algorithm t...
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07/28/2020
Optimal Probabilistic Motion Planning with Partially Infeasible LTL Constraints
This paper studies optimal probabilistic motion planning of a mobile age...
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07/23/2020