- Learning Scheduling Policies for Multi|Robot Coordination With ...🔍
- Learning Scheduling Policies for Multi|Robot Coordination with ...🔍
- Coordinated Multi|Robot Shared Autonomy Based on Scheduling ...🔍
- Multi|Robot Coordination via Learning|Based Combinatorial ...🔍
- Multi|agent reinforcement learning for online scheduling in smart ...🔍
- Scheduling and Path|Planning for Operator Oversight of Multiple ...🔍
- Learning for Dynamic Subteaming and Voluntary Waiting in ...🔍
- Heterogeneous graph attention networks for scalable multi|robot ...🔍
Learning Scheduling Policies for Multi|Robot Coordination with ...
Learning Scheduling Policies for Multi-Robot Coordination With ...
A novel graph attention network-based scheduler to automatically learn features of scheduling problems towards generating high-quality solutions.
Learning Scheduling Policies for Multi-Robot Coordination with ...
We combine imitation learning with graph neural networks to learn a heuristic policy for scheduling, allowing for fast, near- optimal scheduling of robot teams.
Learning Scheduling Policies for Multi-Robot Coordination With ...
This work develops a novel graph attention network-based scheduler to automatically learn features of scheduling problems towards generating high-quality ...
Learning Scheduling Policies for Multi-Robot Coordination With ...
Learning Scheduling Policies for Multi-Robot Coordination With Graph Attention Networks. Zheyuan Wang, M. Gombolay. 2020, IEEE Robotics and ...
Coordinated Multi-Robot Shared Autonomy Based on Scheduling ...
Abstract:Shared autonomy methods, where a human operator and a robot arm work together, have enabled robots to complete a range of complex ...
Coordinated Multi-Robot Shared Autonomy Based on Scheduling ...
Our key idea is to leverage Learning from Demonstration (LfD) and time warping to schedule the motions of the robots based on when they may ...
Multi-Robot Coordination via Learning-Based Combinatorial ...
Motivated by such problems, we consider the joint task allocation and task scheduling problem, based on the agents' abilities and task requirements, which also ...
Multi-agent reinforcement learning for online scheduling in smart ...
We benchmark the performance of multiple AI schedulers with a variety of common scheduling methods such as metaheuristic methods (e.g., genetic algorithm (GA)), ...
Scheduling and Path-Planning for Operator Oversight of Multiple ...
There is a need for semi-autonomous systems capable of performing both automated tasks and supervised maneuvers. When dealing with multiple robots or robots ...
Learning for Dynamic Subteaming and Voluntary Waiting in ...
Learning for Dynamic Subteaming and Voluntary Waiting in Heterogeneous Multi-Robot Collaborative Scheduling ... Abstract: Coordinating heterogeneous robots is ...
Heterogeneous graph attention networks for scalable multi-robot ...
To efficiently coordinate multi-robot teams, fast, high-quality scheduling ... learn scheduling policies that overcome the limitations of conventional approaches.
Multi-Robot Coordination and Planning in Uncertain and Adversarial ...
In order for multi-robot systems to become practical, we need coordination algorithms that can scale to large teams of robots dealing with ...
ScheduleNet: Advancing Multi-Robot Coordination
Georgia Tech's method of multi-robot scheduling seeks to overcome the limitations of conventional methods. Previous methods of scheduling robots to complete ...
ing algorithms in team coordination. The challenge then remains of how we can learn the heuristics and rules-of- thumb of human domain experts to ...
Multirobot Allocation In A Flexible Manufacturing System, Using ...
The algorithm allows for learning the optimal action policy for assigning tasks to multiple robots, outperforming other methods. The case study involved three ...
Graph Neural Networks: Learning Representations of Robot Team ...
Learning scheduling policies for multi-robot coordination with graph attention networks. IEEE Robotics and. Automation Letters 5, 3 (2020) ...
A multi-robot-multi-task scheduling system for autonomous ...
Building on the herein formulated and developed scheduling algorithms and employing a constraint programming approach, the scheduling system ...
16891: Multi-Robot Planning and Coordination - Jiaoyang Li
Topics for the course include multi-robot cooperative task planning, multi-robot path/motion planning, learning for coordination, coordinating ...
Fast Scheduling of Multi-Robot Teams with Temporospatial ...
Fast Scheduling of Multi-Robot Teams with Temporospatial Constraints ... To read the full-text of this research, you can request a copy directly ...
Heterogeneous graph attention networks for scalable multi-robot ...
To efficiently coordinate multi-robot teams, fast, high-quality scheduling algorithms are essential to satisfy the temporal and spatial constraints imposed by ...