Path planning for multi-arm manipulators using deep reinforcement learning: Soft actor–critic with hindsight experience replay
Since path planning for multi-arm manipulators is a complicated high-dimensional problem,
effective and fast path generation is not easy for the arbitrarily given start and goal locations …
effective and fast path generation is not easy for the arbitrarily given start and goal locations …
GRSTAPS: Graphically recursive simultaneous task allocation, planning, and scheduling
Effective deployment of multi-robot teams requires solving several interdependent problems
at varying levels of abstraction. Specifically, heterogeneous multi-robot systems must …
at varying levels of abstraction. Specifically, heterogeneous multi-robot systems must …
Coordination of two robotic manipulators for object retrieval in clutter
We consider the problem of retrieving a target object from a confined space by two robotic
manipulators where overhand grasps are not allowed. If other movable obstacles occlude …
manipulators where overhand grasps are not allowed. If other movable obstacles occlude …
Hypergraph-based multi-robot task and motion planning
In this article, we present a multi-robot task and motion planning method that, when applied
to the rearrangement of objects by manipulators, results in solution times up to three orders …
to the rearrangement of objects by manipulators, results in solution times up to three orders …
Task allocation for multi-robot task and motion planning: a case for object picking in cluttered workspaces
H Karami, A Thomas, F Mastrogiovanni - International Conference of the …, 2021 - Springer
We present an AND/OR graph-based, integrated multi-robot task and motion planning
approach which (i) performs task allocation coordinating the activity of a given number of …
approach which (i) performs task allocation coordinating the activity of a given number of …
Four-arm collaboration: Two dual-arm robots work together to manipulate tethered tools
D Sanchez, W Wan, K Harada - IEEE/ASME Transactions on …, 2021 - ieeexplore.ieee.org
This article presents a planner for a master dual-arm robot to manipulate tethered tools with
the help of an assistant dual-arm robot. The assistant robot assists the master robot by …
the help of an assistant dual-arm robot. The assistant robot assists the master robot by …
Learning to cooperate: A hierarchical cooperative dual robot arm approach for underactuated pick-and-placing
S De Witte, T Van Hauwermeiren… - IEEE/ASME …, 2022 - ieeexplore.ieee.org
Cooperative multiagent manipulation systems allow to extend on the manipulative
limitations of individual agents, increasing the complexity of the manipulation tasks the …
limitations of individual agents, increasing the complexity of the manipulation tasks the …
Cooperative planning for physically interacting heterogeneous robots
MA Sebok, HG Tanner - Frontiers in Robotics and AI, 2024 - frontiersin.org
Heterogeneous multi-agent systems can be deployed to complete a variety of tasks,
including some that are impossible using a single generic modality. This paper introduces …
including some that are impossible using a single generic modality. This paper introduces …
Learning Dual-arm Object Rearrangement for Cartesian Robots
This work focuses on the dual-arm object rearrangement problem abstracted from a realistic
industrial scenario of Cartesian robots. The goal of this problem is to transfer all the objects …
industrial scenario of Cartesian robots. The goal of this problem is to transfer all the objects …
Asynchronous Task Plan Refinement for Multi-Robot Task and Motion Planning
This paper explores general multi-robot task and motion planning, where multiple robots in
close proximity manipulate objects while satisfying constraints and a given goal. In …
close proximity manipulate objects while satisfying constraints and a given goal. In …