Remote Robot Oversight Using Dynamic Risk-Based Assignment
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Solution Overview
Problem
Existing robotics systems face challenges in providing effective remote oversight due to increasing complexity, especially when robots encounter adverse conditions, necessitating improved methods for managing autonomous operations.
Innovation Solution
A system and method that utilize a controller to dynamically assign robots to remote guardians based on a risk score, switching between autonomous and tele-operation modes, and provide visual representations to oversee multiple robots, adjusting oversight based on real-time risk factors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If remote guardians oversee multiple robots simultaneously, then productivity increases, but the ability to provide effective oversight decreases when robots encounter adverse conditions
Solution Approach 1:
The system dynamically adjusts the number of robots assigned to each remote guardian based on real-time risk scores. When a robot encounters an adverse condition increasing its risk score, the system automatically reassigns robots to maintain appropriate oversight ratios, ensuring reliability while maximizing productivity during normal operations
Solution Approach 2:
The system continuously monitors robot operations and calculates risk scores based on sensor data and operational conditions. This feedback loop enables the system to detect when a robot requires attention and automatically adjusts oversight allocation, balancing the number of robots per guardian with the need for effective monitoring
2Reliability
If the system provides comprehensive remote oversight for all robots, then safety improves, but system complexity increases
Solution Approach 1:
The system applies differentiated oversight levels to different robots based on their individual risk scores and operational contexts. High-risk robots receive more intensive monitoring while low-risk robots are overseen with fewer resources, optimizing safety without requiring uniform complex oversight for all robots
Solution Approach 2:
The oversight system dynamically adjusts its complexity and resource allocation based on real-time conditions. The controller automatically reassigns robots between guardians and adjusts monitoring intensity based on risk scores, maintaining safety while adapting system complexity to actual needs rather than using fixed maximum complexity
3Adaptability or versatility
If the system switches between autonomous and tele-operation modes, then adaptability to adverse conditions improves, but response time increases
Solution Approach 1:
The system pre-calculates risk scores and prepares oversight assignments before adverse conditions occur. When risks are detected, the dynamic reassignment mechanism is already in place to quickly switch between autonomous and tele-operation modes, reducing the time penalty of mode transitions
Solution Approach 2:
The continuous risk score calculation and monitoring provides real-time feedback that enables rapid decision-making for mode switching. The system detects adverse conditions and initiates tele-operation or reassignment immediately based on threshold triggers, minimizing response time while maintaining adaptability
Data Source
AI summary
Computing platforms, methods, and storage media are disclosed for managing remote oversight of a plurality of robots. A controller may be in communication with a plurality of robots. The controller may be configured to: obtain a dynamic risk score for each of the plurality of robots, the dynamic risk score associated with operational risk of proper robot operation; assign, based on the dynamic risk score for each of the plurality of robots, a set of robots to an operator for remote oversight; and provide, to a display associated with the operator, a set of visual representations associated with the set of robots assigned to the operator for remote oversight. The controller may dynamically determine and assign the dynamic risk score based on one or more risk factors. The controller may dynamically generate a visual interface for managing remote oversight of the plurality of robots.