Remote Forklift Control Under Latency and Bandwidth Constraints
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Solution Overview
Problem
Remote control of devices, such as forklifts, faces challenges due to limitations in latency and bandwidth between the device and the control station, which can lead to accidents and reduced situational awareness for operators.
Innovation Solution
The system measures communications latency and bandwidth, and adjusts parameters such as maximum speed and acceleration of the device, as well as the data communicated to the operator, based on these factors, task requirements, and environmental conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the device operates at high speed to improve productivity, then productivity increases, but control accuracy deteriorates due to latency
Solution Approach 1:
The system dynamically adjusts the maximum device speed based on real-time latency measurements. When latency is high, the system reduces the maximum speed to maintain control accuracy. This dynamic adaptation allows the device to operate at optimal speeds under varying network conditions, resolving the contradiction between productivity and control accuracy.
2Loss of information
If high resolution video is transmitted to improve situational awareness, then situational awareness improves, but bandwidth consumption increases
Solution Approach 1:
The system changes video transmission parameters (resolution, frame rate, compression level) based on available bandwidth and latency conditions. When bandwidth is limited or latency is high, the system reduces video quality parameters to maintain situational awareness while consuming less bandwidth. This parameter adaptation resolves the contradiction between information quality and resource consumption.
3Adaptability or versatility
If multiple operators are supported for training and switching purposes, then operational flexibility improves, but system complexity increases
Solution Approach 1:
The operator workstation is designed with multi-functionality to support multiple operators simultaneously or sequentially. The system provides training modes, operator switching capabilities, and shared control interfaces within a single workstation platform. This universal design allows multiple operators to access the system without requiring separate hardware installations, resolving the contradiction between flexibility and complexity.
4Loss of time
If latency is reduced to improve control responsiveness, then control responsiveness improves, but infrastructure cost increases
Solution Approach 1:
The system continuously measures latency and uses this feedback to adapt operating parameters. By monitoring actual latency conditions and adjusting device speed and video transmission accordingly, the system achieves effective control responsiveness without requiring expensive low-latency infrastructure upgrades. The feedback mechanism allows the system to optimize performance within existing infrastructure constraints.
Data Source
AI summary
In various embodiments communications latency and/or bandwidth of a communications connection between a device being controlled a remote operator workstation being used to control the device is measured. One or more parameters of the system, e.g., operator control stations and/or the device, e.g., robotic device, being remotely controlled, e.g., teleoperated, are altered in response to one or more of: i) communications latency, ii) communications bandwidth, iii) a task to be performed; and/or iv) environmental conditions. By changing such parameters, things such as maximum speed of device operation, a maximum acceleration or a maximum rate of movement of a device element such as forks of a forklift the device can be controlled or limited. The changing of parameters takes into consideration one, more or all of: i) communications latency, ii) communications bandwidth, iii) a task to be performed; and/or iv) environmental conditions