Multi-Purpose Robot Work Primitives for Semi-Autonomous Tasks
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Solution Overview
Problem
Existing robots require elaborate tele-operation systems and extensive training, limiting accessibility and efficiency in completing multiple work objectives.
Innovation Solution
A robot system utilizing a catalog of reusable work primitives, organized into libraries, enables semi-autonomous operation by identifying and executing workflows composed of these primitives, reducing computational and storage burdens.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If tele-operation systems are used to control robots, then robots can perform physical actions, but the systems require very elaborate and complicated interfaces comprising sophisticated sensors and equipment
Solution Approach 1:
The patent creates a virtual copy of the physical workspace in a simulated environment where operators can interact with a digital representation of the robot and its environment. This virtual copy allows operators to control the robot through simplified interfaces without needing direct complex hardware connections, thereby reducing the complexity burden while maintaining control capability.
Solution Approach 2:
The simulated environment acts as an intermediary between the operator and the physical robot. Instead of directly controlling complex physical actuators, operators interact with virtual objects and commands in the simulation, which then translate to physical actions. This intermediary layer simplifies the interface while preserving the ability to perform physical tasks.
2Extent of automation
If robots are trained to operate semi-autonomously or fully autonomously, then robots can complete work objectives independently, but training involves causing the robot to repeatedly perform physical tasks in the real world which causes significant wear and tear on components
Solution Approach 1:
The patent creates virtual copies of training scenarios in a simulated environment. Robots can be trained repeatedly on these virtual copies without any physical wear and tear. The simulation replicates the necessary training conditions and tasks, allowing the robot to learn autonomous operation patterns without degrading physical components.
Solution Approach 2:
The patent performs preliminary training actions in the virtual environment before deploying the robot for actual physical work. By completing the learning and adaptation phase in simulation, the robot develops autonomous capabilities beforehand, minimizing the need for repeated physical trial-and-error that would cause component wear.
3Productivity
If a catalog of reusable work primitives is used, then robots can efficiently complete multiple work objectives with reduced hardware and storage requirements, but the robot must identify and execute workflows composed of these primitives
Solution Approach 1:
The patent breaks down complex work objectives into smaller, reusable primitives that can be independently defined and executed. Each primitive represents a discrete action or task component. By segmenting workflows into these standardized units, the system can efficiently assemble different combinations to accomplish various work objectives without requiring complex custom programming for each task.
Solution Approach 2:
The patent creates a universal catalog of work primitives that can be applied across multiple different work objectives and scenarios. These primitives serve multiple functions and can be recombined in different sequences to achieve various end goals. This universality reduces the need for task-specific hardware or specialized systems, improving efficiency while managing complexity through standardization.
Data Source
AI summary
Robots, methods, and computer program products for training and operating (semi-) autonomous robots to complete multiple different work objectives are described. A robot accesses a library of reusable work primitives from a catalog of libraries of reusable work primitives, each reusable work primitive corresponding to a respective basic sub-task or sub-action that the robot is operative to autonomously perform. A work objective is analyzed to determine a sequence (i.e., a combination and/or permutation) of reusable work primitives that, when executed by the robot, will complete the work objective. The robot executes the sequence of reusable work primitives to complete the work objective. A robot can be deployed with an appropriate stored library (or access to an appropriate library) of reusable work primitives, based on what the robot is expected to do, or what service category or role the robot will operate in.