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Planning of heterogeneous multi-agent systems under signal temporal logic specifications with integral predicates
We address the problem of coordinating the trajectories of heterogeneous multi-agent
systems under spatio-temporal specifications. In particular, we consider global Signal …
systems under spatio-temporal specifications. In particular, we consider global Signal …
[HTML][HTML] Path planning of multi-type robot systems with time windows based on timed colored Petri nets
Mobile robots are extensively used to complete repetitive operations in industrial areas such
as intelligent transportation, logistics, and manufacturing systems. This paper addresses the …
as intelligent transportation, logistics, and manufacturing systems. This paper addresses the …
Distributed safe planning for satisfying minimal temporal relaxations of TWTL specifications
We investigate a multi-agent planning problem, where each agent aims to achieve an
individual task while avoiding collisions with other agents. Each agent's task is expressed as …
individual task while avoiding collisions with other agents. Each agent's task is expressed as …
Distributed planning of multi-agent systems with coupled temporal logic specifications
View Video Presentation: https://doi. org/10.2514/6.2021-1123. vid In this paper, we
investigate the multi-agent mission planning and control problem under coordination …
investigate the multi-agent mission planning and control problem under coordination …
Control synthesis using signal temporal logic specifications with integral and derivative predicates
In many applications, the integrals and derivatives of signals carry valuable information (eg,
cumulative success over a time window, the rate of change) regarding the behavior of the …
cumulative success over a time window, the rate of change) regarding the behavior of the …
Decentralized safe reactive planning under TWTL specifications
We investigate a multi-agent planning problem, where each agent aims to achieve an
individual task while avoiding collisions with others. We assume that each agent's task is …
individual task while avoiding collisions with others. We assume that each agent's task is …
Probabilistically guaranteed satisfaction of temporal logic constraints during reinforcement learning
We propose a novel constrained reinforcement learning method for finding optimal policies
in Markov Decision Processes while satisfying temporal logic constraints with a desired …
in Markov Decision Processes while satisfying temporal logic constraints with a desired …
Distributed planning for serving cooperative tasks with time windows: A game theoretic approach
We study distributed planning for multi-robot systems to provide optimal service to
cooperative tasks that are distributed over space and time. Each task requires service by …
cooperative tasks that are distributed over space and time. Each task requires service by …
Temporal-logic-constrained hybrid reinforcement learning to perform optimal aerial monitoring with delivery drones
In this paper, we consider a package delivery drone that is desired to simultaneously
perform aerial monitoring as a secondary mission. To integrate this secondary mission, we …
perform aerial monitoring as a secondary mission. To integrate this secondary mission, we …
Decentralized multi-agent coordination under mitl specifications and communication constraints
We propose a decentralized solution for high-level multi-agent task planning problems in
environments considering communication network failure. In particular, we consider that …
environments considering communication network failure. In particular, we consider that …