Scheduling and Path-Planning for Operator Oversight of Multiple Robots

Author:

Zanlongo Sebastián A.,Dirksmeier Peter,Long PhilipORCID,Padir TaskinORCID,Bobadilla LeonardoORCID

Abstract

There is a need for semi-autonomous systems capable of performing both automated tasks and supervised maneuvers. When dealing with multiple robots or robots with high complexity (such as humanoids), we face the issue of effectively coordinating operators across robots. We build on our previous work to present a methodology for designing trajectories and policies for robots such that a few operators can supervise multiple robots. Specifically, we: (1) Analyze the complexity of the problem, (2) Design a procedure for generating policies allowing operators to oversee many robots, (3) Present a method for designing policies and robot trajectories to allow operators to oversee multiple robots, and (4) Include both simulation and hardware experiments demonstrating our methodologies.

Publisher

MDPI AG

Subject

Artificial Intelligence,Control and Optimization,Mechanical Engineering

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Coordinated Multi-Robot Shared Autonomy Based on Scheduling and Demonstrations;IEEE Robotics and Automation Letters;2023-12

2. Auction-Based Task Allocation and Motion Planning for Multi-Robot Systems with Human Supervision;Journal of Intelligent & Robotic Systems;2023-09-16

3. On the Impact of Interruptions During Multi-Robot Supervision Tasks;2023 IEEE International Conference on Robotics and Automation (ICRA);2023-05-29

4. Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06

5. Scalable Operator Allocation for Multirobot Assistance: A Restless Bandit Approach;IEEE Transactions on Control of Network Systems;2022-09

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