Remote Robot Control via Subtask Handover for Task Recovery
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Solution Overview
Problem
Current remote control systems for robots face challenges in autonomous operation, particularly when robots encounter difficulties during tasks, as they often require human intervention for assistance, leading to inefficiencies and limitations in learning from experiences due to lack of acquired assistance data.
Innovation Solution
A remote control system that allows robots to autonomously or semi-autonomously perform tasks, with the ability to detect events that hinder task execution, divide tasks into subtasks, and transmit these to a remote control device for human intervention via direct or indirect instructions, enabling efficient resumption of tasks and improving learning through data acquisition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a robot autonomously performs tasks, then productivity is improved, but reliability deteriorates when the robot encounters difficulties and cannot complete tasks independently
Solution Approach 1:
The patent introduces a remote control device as an intermediary between the autonomous robot and human operators. When the robot encounters difficulties during task execution, it can request assistance and the remote control device relays requests and provides support, ensuring task completion while maintaining autonomous operation efficiency
Solution Approach 2:
The system dynamically adjusts the level of autonomy based on task complexity and robot capability. The robot operates autonomously for routine tasks but can switch to semi-autonomous mode with remote assistance when encountering unexpected situations, optimizing both productivity and reliability
2Reliability
If human operators control robots remotely, then reliability is improved through human judgment, but productivity deteriorates due to continuous human intervention requirements
Solution Approach 1:
Instead of requiring continuous human intervention, the system implements partial human action only when necessary. The robot handles autonomous decision-making for routine operations and only requests human assistance for specific challenging subtasks, reducing overall human involvement while maintaining reliability
Solution Approach 2:
The robot performs self-service through autonomous navigation and task execution for routine operations. It independently handles navigation, object recognition, and basic manipulation tasks, reserving human intervention only for complex problem-solving scenarios
3Reliability
If multiple manipulators control different robots, then reliability is improved through specialized expertise, but device complexity increases due to multiple control systems
Solution Approach 1:
The remote control device is designed as a universal platform that can control multiple different types of robots through a unified interface. It handles various robot types, communication protocols, and task requirements through modular architecture, reducing the need for multiple specialized control systems
4Productivity
If robots operate completely autonomously, then productivity is improved, but adaptability deteriorates when new task types or environments are encountered
Solution Approach 1:
The system implements feedback loops where the robot's autonomous performance data, including successes and failures, is continuously monitored and analyzed. This feedback enables the robot to learn from experiences and adapt to new task types and environments while maintaining high productivity through autonomous operation
Data Source
AI summary
A remote controlled device comprises one or more memories and one or more processors. The one or more processors are configured to, when an event relating to a task being executed by a remote control object occurs: transmit information on a subtask of the task, receive a command relating to the subtask, and execute the task based on the command.